Archive:

KEY FEATURES

Everyday life is full of distractions. Whether at work or home, your computer is rife with little ways to keep you from being your most productive you. That’s where Saent comes in, blocking distractions (both digital and physical) so you can focus, develop healthier work habits, and do better work, all at the click of a button. When combined with the app, Saent gives you a full-scale productivity solution that will train you to work more efficiently.

As seen in Fast Company, Quartz, Mashable, and Newsweek

“Saent is one of the most promising productivity devices I’ve seen come along in a long time,” Mike Vardy, founder of Productivityist

• Block digital distractions so you can focus on the task at hand
• Work in focus sessions to discourage multitasking, improve results, & manage your time better
• Silence digital distractions like websites & apps you deem unproductive
• Set goals & stay on task w/ the app
• End work interruptions w/ a single click that tells coworkers to not disturb you

PRODUCT SPECS

Details & Requirements

• Connects via USB or Bluetooth
• Battery life: 10 hours

Compatibility

• Mac OS X 10.8 or later

Includes

• Saent button
• USB cable
• Carry bag

KEY FEATURES

Get everything you need to start building your own epic PC and mobile games with this seven-part package. From detailed instruction to the actual game engine to awesome 2D and 3D assets, this bundle will have you creating and sharing your own games in no time.

• App Game Kit: includes an easy, instant game development engine for building apps for multiple platforms
• Giant Asset Pack: contains over 500 royalty-free sprites, sprite sheets & sprite construction sets providing more than 2,000 individual action orientated sprites
• Giant Asset Pack 2: contains over 1,500 royalty-free sprites & sprite sheets providing more than 3,000 individual puzzle and adventure orientated sprites
• The Official AppGameKit Tutorial Guide: gives you the expertise you need to fully express your imagination & create your own professional-level games
• GameGuru: allows you to make a multiplayer game in a few minutes, including hosting & sharing your game online
• GameGuru – Mega Pack 1: contains over 530 game-ready 3D entities
• GameGuru – Mega Pack 2: contains over 600 game-ready entities including castles, dungeons, caves & special effects

PRODUCT SPECS

Details & Requirements

• Learn more about App Game Kit here
• Learn more about Giant Asset Pack here
• Learn more about Giant Asset Pack 2 here
• Learn more about The Official AppGameKit Tutorial Guide click here
• Learn more about GameGuru here
• Learn more about GameGuru – Mega Pack 1 here
• Learn more about GameGuru – Mega Pack 2 here

KEY FEATURES

The most popular aquarium ever on Kickstarter is here to bring nature into your home. Centered around an aquaponics filter, integrated into the tank to create an all-in-one system that uses plants like basil or mint to keep your aquarium clean, the EcoQube C is clean, durable, and portable. It uses 50% less energy and 90% less water than comparable aquariums while never requiring you to change the filter. You’ll be happy, your fish will be happy – it’s a win-win.

• Own an aquarium w/ none of the drawbacks – no need to change the water w/ the aquaponics filter
• Save up to $250/year by never changing the filter
• Control your aquarium’s lighting w/ the comprehensive LED remote

PRODUCT SPECS

Details & Requirements

• Designed in San Diego

Includes

• EcoQube C Tank
• Integrated auqaponics filter
• LED remote
• Sand
• Mountain stone
• AC adapter
• Plant medium
• Plant seeds
• Glass cover

KEY FEATURES

Big data is hot, and data management and analytics skills are your ticket to a fast-growing, lucrative career. This course will quickly teach you two technologies fundamental to big data: MapReduce and Hadoop. Learn and master the art of framing data analysis problems as MapReduce problems with over 10 hands-on examples. Write, analyze, and run real code along with the instructor– both on your own system, and in the cloud using Amazon’s Elastic MapReduce service. By course’s end, you’ll have a solid grasp of data management concepts.

• Learn the concepts of MapReduce to analyze big sets of data w/ 56 lectures & 5.5 hours of content
• Run MapReduce jobs quickly using Python & MRJob
• Translate complex analysis problems into multi-stage MapReduce jobs
• Scale up to larger data sets using Amazon’s Elastic MapReduce service
• Understand how Hadoop distributes MapReduce across computing clusters
• Complete projects to get hands-on experience: analyze social media data, movie ratings & more
• Learn about other Hadoop technologies, like Hive, Pig & Spark

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Frank Kane spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

KEY FEATURES

Hadoop is perhaps the most important big data framework in existence, used by major data-driven companies around the globe. Hadoop and its associated technologies allow companies to manage huge amounts of data and make business decisions based on analytics surrounding that data. This course will take you from big data zero to hero, teaching you how to build Hadoop solutions that will solve real world problems – and qualify you for many high-paying jobs.

• Access 43 lectures & 10 hours of content 24/7
• Learn how technologies like Mapreduce apply to clustering problems
• Parse a Twitter stream Python, extract keywords w/ Apache Pig, visualize data w/ NodeJS, & more
• Set up a Kafka stream w/ Java code for producers & consumers
• Explore real-world applications by building a relational schema for a health care data dictionary used by the US Department of Veterans Affairs
• Log collections & analytics w/ the Hadoop distributed file system using Apache Flume & Apache HCatalog

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: intermediate

Compatibility

• Internet required

THE EXPERT

Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.

KEY FEATURES

Have you ever wondered how major companies, universities, and organizations manage and process all the data they’ve collected over time? Well, the answer is Big Data, and people who can work with it are in huge demand. In this course you’ll cover the MapReduce algorithm and its most popular implementation, Apache Hadoop. Throughout this comprehensive course, you’ll learn essential Big Data terminology, MapReduce concepts, advanced Hadoop development, and gain a complete understanding of the Hadoop ecosystem so you can become a big time IT professional.

• Access 76 lectures & 15.5 hours of content 24/7
• Learn how to setup Node Hadoop pseudo clusters
• Understand & work w/ the architecture of clusters
• Run multi-node clusters on Amazon’s Elastic Map Reduce (EMR)
• Master distributed file systems & operations including running Hadoop on HortonWorks Sandbok & Cloudera
• Use MapReduce w/ Hive & Pig
• Discover data mining & filtering
• Learn the differences between Hadoop Distributed File System vs. Google File System

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner

Compatibility

• Internet required

THE EXPERT

Eduonix creates and distributes high-quality technology training content. Their team of industry professionals has been training manpower for more than a decade. They aim to teach technology the way it is used in the industry and professional world. They have a professional team of trainers for technologies ranging from Mobility, Web and Enterprise, and Database and Server Administration.

Website – www.eduonix.com

For more details on this course and instructor, click here. This course is hosted by StackSkills, the premier eLearning destination for discovering top-shelf courses on everything from coding—to business—to fitness, and beyond!

KEY FEATURES

Hadoop is one of the most commonly used Big Data frameworks, supporting the processing of large data sets in a distributed computing environment. This tool is becoming more and more essential to big business as the world becomes more data-driven. In this introduction, you’ll cover the individual components of Hadoop in detail and get a higher level picture of how they interact with one another. It’s an excellent first step towards mastering Big Data processes.

• Access 30 lectures & 5 hours of content 24/7
• Install Hadoop in Standalone, Pseudo-Distributed, & Fully Distributed mode
• Set up a Hadoop cluster using Linux VMs
• Build a cloud Hadoop cluster on AWS w/ Cloudera Manager
• Understand HDFS, MapReduce, & YARN & their interactions

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner
• IDE like IntelliJ or Eclipse required (free to download)

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Take your Hadoop skills to a whole new level by exploring its features for controlling and customizing MapReduce to a very granular level. Covering advanced topics like building inverted indexes for search engines, generating bigrams, combining multiple jobs, and much more, this course will push your skills towards a professional level.

• Access 24 lectures & 4.5 hours of content 24/7
• Cover advanced MapReduce topics like mapper, reducer, sort/merge, partitioning, & more
• Use MapReduce to build an inverted index for search engines & generate bigrams from text
• Chain multiple MapReduce jobs together
• Write your own customized partitioner
• Sort a large amount of data by sampling input files

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels
• IDE like IntelliJ or Eclipse required (free to download)

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Analyzing data is an essential to making informed business decisions, and most data analysts use SQL queries to get the answers they’re looking for. In this course, you’ll learn how to map constructs in SQL to corresponding design patterns for MapReduce jobs, allowing you to understand how these two programs can be leveraged together to simplify data problems.

• Access 49 lectures & 1.5 hours of content 24/7
• Master the art of “thinking parallel” to break tasks into MapReduce transformations
• Use Hadoop & MapReduce to implement a SQL query like operations
• Work through SQL constructs such as select, where, group by, & more w/ their corresponding MapReduce jobs in Hadoop

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels
• IDE like IntelliJ or Eclipse required (free to download)

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

You see recommendation algorithms all the time, whether you realize it or not. Whether it’s Amazon recommending a product, Facebook recommending a friend, Netflix, a new TV show, recommendation systems are a big part of internet life. This is done by collaborative filtering, something you can perform through MapReduce with data collected in Hadoop. In this course, you’ll learn how to do it.

• Access 4 lectures & 1 hour of content 24/7
• Master the art of “thinking parallel” to break tasks into MapReduce transformations
• Use Hadoop & MapReduce to implement a recommendations algorithm
• Recommend friends on a social networking site using a MapReduce collaborative filtering algorithm

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels
• IDE like IntelliJ or Eclipse required (free to download)

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Data, especially in enterprise, will often expand at a rapid scale. Hadoop excels at compiling and organizing this data, however, to do anything meaningful with it, you may need to run machine learning algorithms to decipher patterns. In this course, you’ll learn one such algorithm, the K-Means clustering algorithm, and how to use MapReduce to implement it in Hadoop.

• Access 7 lectures & 1.5 hours of content 24/7
• Master the art of “thinking parallel” to break tasks into MapReduce transformations
• Use Hadoop & MapReduce to implement the K-Means clustering algorithm
• Convert algorithms into MapReduce patterns

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels
• IDE like IntelliJ or Eclipse required (free to download)

Compatibility

• Internet required

THE EXPERT

Loonycorn is comprised of four individuals–Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh–who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

KEY FEATURES

Tableau 9 is one of the leading softwares for analyzing and presenting data in meaningful, efficient ways. An essential for data scientists and business analysts alike, having a proficiency in Tableau can separate you from the rest of the job-seeking pack. In this course, you’ll explore the basics of Tableau into more intermediate topics as you prepare for the Tableau Desktop 9 Qualified Associate Certification exam.

• Access 29 lectures & 4.5 hours of content 24/7
• Develop different types of projects & reports in Tableau
• Visualize & present different types of data in an insightful manner
• Locate & clean messy data sets to present them more effectively
• Discover the core concepts needed to start a career in Tableau

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

GreyCampus transforms careers through skills and certification training. We are a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management and Quality Management. We offer live-online (instructor-led online), classroom (instructor-led classroom) and e-learning (online self-learning ) courses. Our growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals.

KEY FEATURES

Dive into Tableau Desktop 9 and start building data visualizations and dashboards from scratch in this accelerated course. Put yourself at the forefront of the career-hunting workforce by learning this highly in-demand software!

• Access 25 lectures & 1.5 hours of content 24/7
• Install Tableau Desktop 9 on your system
• Analyze & present data using Tableau Desktop 9
• Import & summarize data
• Perform data analysis, visualizations, & create dashboards to present data more efficiently

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Sunil Kumar Gupta is a developer, programmer, mentor and all round technology nut. With over 5.6 years of professional experience in the software development as Software Engineer and Technology Analyst, he understands what technology can do for us. He loves building applications using Object Orientated languages & Aspect Orientated programming and has a special love for Data Analysis, Data Science and Analytics.

Sunil is an Oracle Certified Professional, Java SE 6 Programmer and currently works as Technology Analyst at an IT company and he holds a Bachelor of Technology degree in Computer Science & Engineering.

KEY FEATURES

The best way to impress an audience? With visuals. Even better? Interactive and actionable dashboards that audiences can use to really dig into data. Over this extensive course, you’ll learn how businesses use Tableau Desktop 9 to reduce the time and technical acumen required to analyze and publish data. And, moreover, you’ll learn how to actually use this powerful software to achieve similar results.

• Access 40 lectures & 4.5 hours of content 24/7
• Design some of the most common dashboard elements & assemble a complete dashboard
• Use Tactical dashboards for visualizations that can depict progress
• Increase dashboard interactivity by using Operational dashboards
• Explore Analytical dashboards that can provide tools to effectively extract insights from data
• Create a visualization using Ad-hoc dashboards that let you keep an eye on specific areas of interest
• Cover the styling settings & publication options

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Tony Kau is a Tableau Desktop 8 Qualified Associate, and he is putting its power to use in his role as a reporting analyst for a Fortune 500 company. His analytical background spans a decade, during which he has used a variety of business intelligence software, though none were better than Tableau. His passion is efficiently leveraging data to inform strategic business decisions.

He holds a degree in Business Administration from the University of Oregon, and his background includes web design, programming, and financial analysis. He currently operates TrendExhaustion.com in his spare time.

KEY FEATURES

Who’s afraid of a little dark? Not you, that’s for sure, as long as you’ve got the Nano Torch on your keychain. This ultra-bright LED light has been machined out of durable stainless steel to fit comfortably on your keychain or zipper to give you instant light whenever you need it.

• Tough, durable design makes the Nano Torch built to last
• Attaches easily to a keychain or zipper for use whenever you need
• Nichia LEDs provide 50,000 hours of continuous use

PRODUCT SPECS

Details & Requirements

• Material: stainless steel
• LEDs: 5mm Nichia
• LED life: 50,000 hours
• Batteries: 4 LR521/179A alkaline watch batteries

Includes

• Nano Torch

KEY FEATURES

Work with the tools of professional designers and greatly accelerate your workflow on all kinds of projects, from full ecommerce sites to a variety of mobile apps. These templates and assets are expertly hand-crafted to be easily integrated into any project as a perfect foundation off of which to build interactive, exciting apps and sites. Whether you’re a design hobbyist or serious about a freelance career, you’ll be good to go with this massive bundle.

• Use all assets commercially as much as you want to further a design career
• Integrate new, creative fonts into your projects
• Work w/ templates for ecommerce, fitness apps, music apps, messengers, analytics apps, news apps, & more
• Build mobile & web projects faster w/ expertly-designed wireframes

PRODUCT SPECS

Includes

• Match Font
• Bounce Font Family
• Deliria Handwriting Font
• Red Dog Handwriting Font
• Silicone Material UI KIT
• Webster UI KIT
• Celestial Messenger App
• Buyfy Ecommerce UI KIT
• Fashionista UI KIT
• Chatify App UI KIT
• Prism Web Theme
• Foxttrot Web Theme
• Zaraza Web Theme
• Wires Mobile Framework
• Wires Web Framework
• Express Presentation
• Mockup Master – Apple Devices
• Analytics App UI KIT
• Sportify App UI KIT
• News – App Design Template for Mobile
• Soundify App UI KIT
• Travello App UI KIT
• Bitter Modern Design Framework
• Foodify App UI KIT
• Goldify Ecommerce Mobile Template
• Agurida Design Framework for Landing Pages
• watchOS 2 Human Interface Design KIT
• To browse the entire library, click here.

SOFTWARE LICENSE DETAILS

• Unlimited commercial use

KEY FEATURES

Experience the thrill of virtual reality without breaking the bank thanks to VR ShineCon. The G03 headset converts 2D movies into picture-perfect, HD 3D cinema, fully immersing you in the films you love. Featuring an ergonomic design and adjustable pupil distance, you’ll be able to completely customize your experience to your own specifications.

• Turns 2D movie into fully-immersive 3D films
• High-performance & high-precision lens provides a clearer picture & better view
• Adjustable pupil distance & headband let you customize a comfortable experience
• Compact design lets you enjoy anywhere – on the couch, standing, sitting, anywhere

PRODUCT SPECS

Details & Requirements

• FOV: 90-110°
• Dimensions: 175mm x 140mm x 95mm
• Weight: 242g
• Material: ABS plastic
• Lens: HD optical resin lens
• Lens diameter: 42mm

Compatibility

• Supports all 4.7″ – 6″ Android and iOS smartphones

Includes

• VR ShineCon G03 Virtual Reality Headset (blue)

KEY FEATURES

Salesforce is one of the most customizable and powerful customer relationship management (CRM) tools on earth, and is used by companies like Snapchat, Hulu, Fitbit, and many startups to deliver effective business solutions. These companies are currently looking for Salesforce Administrators and are willing to pay big money to qualified people who can help them become more efficient. In this extensive course, you’ll learn how to tailor Salesforce for specific purposes and understand the declarative capabilities of the Force.com platform to create new applications and automations to perform complex, but routine tasks. Salesforce is all about simplifying business processes, and knowing how to use it will drive your resume to the top of the pile.

• Access 15 hours of content 24/7
• Configure & manage Sales & Service Cloud
• Gain insight into each of the functional Salesforce user groups
• Implement automation, security, debugging, data validation, & customize apps
• Deploy applications & manage changes on the Force.com platform
• Develop new applications using the declarative interface & Force.com fundamentals
• Configure a Salesforce user interface

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: 1 year
• Access options: web streaming, mobile streaming
• Certification of completion included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required
• Mac OS X 10.6 or later
• Windows XP SP3 or later

THE EXPERT

The online courses at Certs School give folks the chance to throw their careers into overdrive without ever leaving their cubicle. Designed to let students learn at their own pace, the courses give people the chance to learn everything from analyzing big data to using business tools such as Salesforce. Every course is designed by industry insiders with years of experience. For more information on this course and instructor, click here.

KEY FEATURES

If your dream is to master a foreign language, there’s not better teacher than Rosetta Stone. With its intuitive, immersive method, Rosetta Stone will have you reading, writing, and speaking like a natural in no time. You’ll start by matching words with images just like when you learned your native language as a child. Then you’ll move onto interactive lessons where speech recognition technology works to evaluate and improve your accent with instant feedback. The reviews don’t lie, Rosetta Stone is the best way to master a second, third, or fourth language from home.

PC Magazine Editors’ Choice Award: Best Language-Learning Software

“Rosetta Stone TOTALe may be the next best thing to living in a country.” Wall Street Journal

• Learn a new language w/ the award-winning interactive software & proprietary speech-recognition technology that analyzes the words you say 100 times per second
• Develop your command of the language–read, write, speak & understand
• Learn basic conversational skills like shopping, ordering, taking a taxi, etc.
• Move onto advanced language skills like sharing opinions & discussing pop culture
• Enhance your learning on-the-go w/ Rosetta Stone mobile apps (3-month trial included)
• Take levels 1-5 to go from beginner to advanced
• Use the advanced speech engine to compare your accent to native speakers
• Get 12 live tutoring sessions w/ a native speaker

PRODUCT SPECS

Details & Requirements

• Includes access for up to 5 family members, 2 computers
• Learn at your own pace – this course that never expires!

Compatibility

• Windows 2000 or later
• Mac OS X 10.4.11 or later
• 1 GHz or faster CPU
• 512 MB RAM
• 600 MB free hard-drive space (per level)
• Internet or phone connection for activation
• Only available to residents of the United States, Australia, Europe, Brazil, Argentina, China, India, and Mexico.

Includes

• Rosetta Stone, US English Levels 1-5
• Serial code for digital download of product
• 90-day access to mobile language learning product

KEY FEATURES

In this course, intended to expand upon your knowledge of neural networks and deep learning, you’ll harness these concepts for computer vision using convolutional neural networks. Going in-depth on the concept of convolution, you’ll discover its wide range of applications, from generating image effects to modeling artificial organs.

• Access 25 lectures & 3 hours of content 24/7
• Explore the StreetView House Number (SVHN) dataset using convolutional neural networks (CNNs)
• Build convolutional filters that can be applied to audio or imaging
• Extend deep neural networks w/ just a few functions
• Test CNNs written in both Theano & TensorFlow

Note: we strongly recommend taking The Deep Learning & Artificial Intelligence Introductory Bundle before this course.

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
• All code for this course is available for download here, in the directory cnn_class

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

KEY FEATURES

In this course, you’ll dig deep into deep learning, discussing principal components analysis and a popular nonlinear dimensionality reduction technique known as t-distributed stochastic neighbor embedding (t-SNE). From there you’ll learn about a special type of unsupervised neural network called the autoencoder, understanding how to link many together to get a better performance out of deep neural networks.

• Access 30 lectures & 3 hours of content 24/7
• Discuss restricted Boltzmann machines (RBMs) & how to pretrain supervised deep neural networks
• Learn about Gibbs sampling
• Use PCA & t-SNE on features learned by autoencoders & RBMs
• Understand the most modern deep learning developments

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: intermediate, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
• All code for this course is available for download here, in the directory unsupervised_class2

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

KEY FEATURES

A recurrent neural network is a class of artificial neural network where connections form a directed cycle, using their internal memory to process arbitrary sequences of inputs. This makes them capable of tasks like handwriting and speech recognition. In this course, you’ll explore this extremely expressive facet of deep learning and get up to speed on this revolutionary new advance.

• Access 32 lectures & 4 hours of content 24/7
• Get introduced to the Simple Recurrent Unit, also known as the Elman unit
• Extend the XOR problem as a parity problem
• Explore language modeling
• Learn Word2Vec to create word vectors or word embeddings
• Look at the long short-term memory unit (LSTM), & gated recurrent unit (GRU)
• Apply what you learn to practical problems like learning a language model from Wikipedia data

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
• All code for this course is available for download here, in the directory rnn_class

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

KEY FEATURES

In this course you’ll explore advanced natural language processing – the field of computer science and AI that concerns interactions between computer and human languages. Over the course you’ll learn four new NLP architectures and explore classic NLP problems like parts-of-speech tagging and named entity recognition, and use recurrent neural networks to solve them. By course’s end, you’ll have a firm grasp on natural language processing and its many applications.

• Access 40 lectures & 4.5 hours of content 24/7
• Discover Word2Vec & how it maps words to a vector space
• Explore GLoVe’s use of matrix factorization & how it contributes to recommendation systems
• Learn about recursive neural networks which will help solve the problem of negation in sentiment analysis

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: advanced, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
• All code for this course is available for download here, in the directory nlp_class2

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

KEY FEATURES

It seems like everything these days is driven by data, and statisticians and analysts across industries need to handle this data efficiently and tactfully. That’s where R comes in, a powerful programming language that helps developers solve even the most complex data problems. Data scientists are in constant demand, and this extensive course will give you your first taste of R, enabling you to make statistical inferences and run programs that solve important data problems and turn heads.

• Access 50 lectures & 3.5 hours of content 24/7
• Get introduced to the R Studio & programming concepts like variables, vectors, arrays, loops, & matrices
• Visualize data using R’s base graphics
• Learn the fundamentals of univariate & bivariate analysis, computing confidence intervals, interpreting p values, & working w/ statistical tests
• Perform a full-scale data analysis project

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Selva Prabhakaran is a data scientist with a large E-commerce organization. In his 7 years of experience in data science, he has tackled complex real-world data science problems and delivered production-grade solutions for top multinational companies. Selva lives in Bangalore with his wife.

KEY FEATURES

R is one of the top rising tools in the analytics world. At its core, R is a statistical programming language that provides excellent tools for data mining and analysis, but it also has high-level graphics and machine learning capabilities. In this course, you’ll learn how to harness those graphics techniques to represent complex sets of data in inspiring ways.

• Access 31 lectures & 2 hours of content 24/7
• Create basic plots like histograms, scatterplots & more
• Import data in R from popular formats like CSV & Excel tables
• Build a complete website to import & plot data
• Learn how to the Shiny package to create fully-featured web pages directly from the R console

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Dr. Fabio Veronesi obtained a PhD in digital soil mapping from Cranfield University and then moved to Zurich, where he has been working for the past three years as a postdoc at ETH. There, he is working on Geoinformation topics, ranging from the application of mathematical techniques to the improvement of shaded relief representations to the use of machine learning to increase the accuracy of wind speed maps.

During his PhD, he needed to learn a programming language, because commercial applications did not provide the ideal platforms to pursue his research work. Since R has a series of packages created specifically for the application of statistical techniques to soil science, he decided to teach himself this powerful language. Since then, he has been using R every day for his work.

KEY FEATURES

R is an ideal tool for organizing and graphing huge datasets, which is especially valuable to businesses that handle a lot of users and financial details on a daily basis. In this beginner’s course to R graphics you’ll get a solid grounding in the “base” graphics package in R, as well as more sophisticated packages like lattice and ggplot2. By course’s end, you’ll be ready to extend your R knowledge to more advanced levels.

• Access 41 lectures & 2 hours of content 24/7
• Understand the basic functionality of R graphs
• Explore different types of graphs for visualizing different types of variables
• Cover bivariate plots, time series, & high dimensional plots
• Learn the tips & tricks to the most efficient ways of drawing various types of graphs

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Ehsan Karim is a statistics Ph.D. candidate at the University of British Columbia. His current research interest is in the methods that deal with time-dependent confounding in longitudinal observational studies. Additionally, he is interested in software implementation of methods related to causal inference. He has been a user of R for more than 15 years, and has more than 5 years of experience in teaching various statistical software packages.

KEY FEATURES

Ggplot2 is one of R’s most popular packages, and is an implementation of the grammar of graphic in R. In this course, you’ll move beyond the basic, default graphics offered by R and shows you how to create more advanced and publication-ready plots. Soon enough, you’ll be separating from other data job seekers with more sophisticated and interactive graphing abilities.

• Access 40 lectures & 2 hours of content 24/7
• Start making elegant & publication-ready plots by learning ggplot2
• Build statistical plots layer by layer
• Understand how to combine elements to make new graphics
• Customize your graphs & make interactive web pages to present your work or analyze your data

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Christophe Ladroue has many years of experience in machine learning and statistics. Most of his work has been focused on developing tools for the analysis of biological data, from genetics to physiology, and his scientific publications span from medical journals to pure statistics. He has used and has been teaching R and ggplot2 for a few years and he occasionally posts related articles on his personal blog: http://chrisladroue.com/blog/

KEY FEATURES

As the world continues to generate more and more data at a faster pace, the demand for data mining – generating new information by examining large databases – is growing rapidly as well. R is one of the top tools for data mining, and although data mining is a very broad topic, this course will get you up to speed with the mathematical basics. Once you’ve got that, you’ll be able to directly apply your knowledge to working to solve real-world problems with R.

• Access 30 lectures & 2.5 hours of content 24/7
• Understand the mathematical basics of data mining & working w/ algorithms
• Learn how to solve real-world data mining problems
• Explore the different disciplines of data mining & the algorithms within them

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Romeo Kienzler is a Chief Data Scientist at the IBM Watson IoT Division. In his role, he is involved in international data mining and data science projects to ensure that clients get the most out of their data. He works as an Associate Professor for data mining at a Swiss University and his current research focus is on cloud-scale data mining using open source technologies including R, ApacheSpark, SystemML, ApacheFlink, and DeepLearning4J. He also contributes to various open source projects. Additionally, he is currently writing a chapter on Hyperledger for a book on Blockchain technologies.

KEY FEATURES

This enormous book will take you on a complete journey with the R programming language and its many applications to data analysis. Over five connected modules, you’ll dive into statistical reasoning, graphing with R, data mining, the quantitative finance concepts of R, and its machine learning capabilities. Across these lessons, you’ll have a fully-fledged, nuanced understanding of the many professional applications of R.

• Access 1,738 pages 24/7
• Describe & visualize the behavior of data & relationships between data
• Handle missing data gracefully using multiple imputation
• Create diverse types of bar charts using the default R functions
• Familiarize yourself w/ algorithms written in R for spatial data mining, text mining, & more
• Harness the power of R to build machine learning algorithms w/ real-world data science applications
• Learn specialized machine learning techniques for text mining, big data, & more

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

KEY FEATURES

Machine learning is one of the most important new frontiers in technology, and the R programming language is one of the best ways to optimize machine learning to solve a diverse range of challenges. Starting with a refresher in R, and then delving into real world problems, this course introduces you to an exciting new way to glean information and answer questions with R.

• Access 1,123 pages 24/7
• Implement R machine learning algorithms from scratch
• Solve real-world problems using machine learning algorithms
• Write reusable code & build complete machine learning systems from the ground up
• Evaluate & improve the performance of machine learning models
• Learn specialized machine learning techniques for text mining, social network data, big data, & more

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

KEY FEATURES

One of the most important things any good data science expert or analyst must know how to do is creative intelligent visualizations. Through this book, you’ll learn how to effectively design and present large amounts of data to demonstrate key insights. You’ll learn how to visualize with HTML5, JavaScript, and D3, three of the top technologies for creating interactive visualizations on the web.

• Harness the power of D3 by building interactive & real-time data-driven web visualizations
• Find out how to use JavaScript to create compelling visualizations of social data
• Apply critical thinking to visualization designs & get intimate w/ your dataset to identify its potential visual characteristics
• Explore the various features of HTML5 to design creative visualizations
• Discover what data is available on Stack Overflow, Facebook, Twitty, & Google+

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels

Compatibility

• Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.