The AI and Deep Machine Learning Bundle for $39

Companies Are Relying on Artificial Intelligence to Learn Faster Than Ever. Time to Catch Up.

Expires October 31, 2021 23:59 PST

Buy now and get 91% off

Deep Learning Prerequisites: Linear Regression in Python

KEY FEATURES

Deep Learning is a set of powerful algorithms that are the force behind self-driving cars, image searching, voice recognition, and many, many more applications we consider decidedly “futuristic.” One of the central foundations of deep learning is linear regression; using probability theory to gain deeper insight into the “line of best fit.” This is the first step to building machines that, in effect, act like neurons in a neural network as they learn while they’re fed more information. In this course, you’ll start with the basics of building a linear regression module in Python, and progress into practical machine learning issues that will provide the foundations for an exploration of Deep Learning.

Access 20 lectures & 2 hours of content 24/7
Use a 1-D linear regression to prove Moore’s Law
Learn how to create a machine learning model that can learn from multiple inputs
Apply multi-dimensional linear regression to predict a patient’s systolic blood pressure given their age & weight
Discuss generalization, overfitting, train-test splits, & other issues that may arise while performing data analysis

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

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, and Numpy
All code for this course is available for download here, in the directory linear_regression_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.

Deep Learning Prerequisites: Logistic Regression in Python

KEY FEATURES

Logistic regression is one of the most fundamental techniques used in machine learning, data science, and statistics, as it may be used to create a classification or labeling algorithm that quite resembles a biological neuron. Logistic regression units, by extension, are the basic bricks in the neural network, the central architecture in deep learning. In this course, you’ll come to terms with logistic regression using practical, real-world examples to fully appreciate the vast applications of Deep Learning.

Access 31 lectures & 3 hours of content 24/7
Code your own logistic regression module in Python
Complete a course project that predicts user actions on a website given user data
Use Deep Learning for facial expression recognition
Understand how to make data-driven decisions

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

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, and Numpy
All code for this course is available for download here, in the directory logistic_regression_class

Compatibility

Internet required

THE EXPERT

Data Science: Deep Learning in Python

KEY FEATURES

Artificial neural networks are the architecture that make Apple’s Siri recognize your voice, Tesla’s self-driving cars know where to turn, Google Translate learn new languages, and so many more technological features you have quite possibly taken for granted. The data science that unites all of them is Deep Learning. In this course, you’ll build your very first neural network, going beyond basic models to build networks that automatically learn features.

Access 37 lectures & 4 hours of content 24/7
Extend the binary classification model to multiple classes uing the softmax function
Code the important training method, backpropagation, in Numpy
Implement a neural network using Google’s TensorFlow library
Predict user actions on a website given user data using a neural network
Use Deep Learning for facial expression recognition
Learn some of the newest development in neural networks

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

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, and Numpy
All code for this course is available for download here, in the directory ann_class

Compatibility

Internet required

THE EXPERT

Data Science: Practical Deep Learning in Theano & TensorFlow

KEY FEATURES

The applications of Deep Learning are many, and constantly growing, just like the neural networks that it supports. In this course, you’ll delve into advanced concepts of Deep Learning, starting with the basics of TensorFlow and Theano, understanding how to build neural networks with these popular tools. Using these tools, you’ll learn how to build and understand a neural network, knowing exactly how to visualize what is happening within a model as it learns.

Access 23 lectures & 3 hours of programming 24/7
Discover batch & stochastic gradient descent, two techniques that allow you to train on a small sample of data at each iteration, greatly speeding up training time
Discuss how momentum can carry you through local minima
Learn adaptive learning rate techniques like AdaGrad & RMSprop
Explore dropout regularization & other modern neural network techniques
Understand the variables & expressions of TensorFlow & Theano
Set up a GPU-instance on AWS & compare the speed of CPU vs GPU for training a deep neural network
Look at the MNIST dataset & compare against known benchmarks

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

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, and Numpy
All code for this course is available for download here, in the directory ann_class2

Compatibility

Internet required

THE EXPERT

DO YOU LIKE WHAT YOU'VE READ?

Join our subscription list and receive our content right in your mailbox. If you like to receive some Great deals our Freebies then subscribe now!

Our Sponsors

Become a Sponsor for $45.

Limit to 5 sponsors.

Company Name :

Email :

Website :

Description :

Upload Logo :

Terms & Conditions : ACCEPTANCE OF TERMS This Agreement contains the complete terms and conditions that apply to your participation in our site. If you wish to use the site including its tools and services please read these terms of use carefully. By accessing this site or using any part of the site or any content or services hereof, you agree to become bound by these terms and conditions. If you do not agree to all the terms and conditions, then you may not access the site or use the content or any services in the site. MODIFICATIONS OF TERMS OF USE Amendments to this agreement can be made and effected by us from time to time without specific notice to your end. Agreement posted on the Site reflects the latest agreement and you should carefully review the same before you use our site. USE OF THE SITE You are prohibited to do the following acts, to wit: (a) use our sites, including its services and or tools if you are not able to form legally binding contracts, are under the age of 18, or are temporarily or indefinitely suspended from using our sites, services, or tools (b) posting of an items in inappropriate category or areas on our sites and services; (c) collecting information about users’ personal information; (d) maneuvering the price of any item or interfere with other users' listings; (f) post false, inaccurate, misleading, defamatory, or libelous content; (g) take any action that may damage the rating system. Registration Information For you to complete the sign-up process in our site, you must provide your full legal name, current address, a valid email address, member name and any other information needed in order to complete the signup process. You must qualify that you are 18 years or older and must be responsible for keeping your password secure and be responsible for all activities and contents that are uploaded under your account. You must not transmit any worms or viruses or any code of a destructive nature. Any information provided by you or gathered by the site or third parties during any visit to the site shall be subject to the terms of businesslegions.com’s Privacy Policy. Term This Agreement will remain in full force and effect while you use the Website. You may terminate your membership at any time for any reason by following the instructions on the “TERMINATION OF ACCOUNT” in the setting page. We may terminate your membership for any reason at any time. If you are using a paid version of the Service and we terminate your membership in the Service because you have breached this Agreement, you will not be entitled to any refund of unused subscription fees. Even after your membership is terminated, certain sections of this Agreement will remain in effect. NON-COMMERCIAL USE BY MEMBERS. Members on this website are prohibited to use the services of the website in connection with any commercial endeavors or ventures. This includes providing links to other websites, whether deemed competitive to this website or not. Juridical persons or entities including but not limited to organizations, companies, and/or businesses may not become Members of businesslegions.com and should not use the site for any purpose. LINKs & FRAMINGS Illegal and/or unauthorized uses of the Services, including unauthorized framing of or linking to the Sites will be investigated, and appropriate legal action may be taken. Some links, however, are welcome to the site and you are allowed to establish hyperlink to appropriate part within the site provided that: (i) you post your link only within the forum, chat or message board section; (ii) you do not remove or obscure any advertisements, copyright notices or other notices on the placed at the site; and (iii) you immediately stop providing any links to the site on written notice from us. However, you must check the copyright notice on the homepage to which you wish to link to make sure that one of our content providers does not have its own policies regarding direct links to their content on our sites. WARRANTY DISCLAIMER AND EXCLUSIONS / LIMITATIONS OF LIABILITY We make no express or implied warranties or representations with respect to the Program or any products sold through the Program (including, without limitation, warranties of fitness, merchantability, non-infringement, or any implied warranties arising out of a course of performance, dealing, or trade usage). In addition, we make no representation that the operation of our site will be uninterrupted or error-free, and we will not be liable for the consequences of any interruptions or errors. We may change, restrict access to, suspend or discontinued the site or any part of it at anytime. The information, content and services on the site are provided on an “as is” basis. When you use the site and or participate therein, you understand and agree that you participate at your own risk. INTELLECTUAL PROPERTY rights You hereby acknowledge that all rights, titles and interests, including but not limited to rights covered by the Intellectual Property Rights, in and to the site, and that You will not acquire any right, title, or interest in or to the site except as expressly set forth in this Agreement. You will not modify, adapt, translate, prepare derivative works from, decompile, reverse engineer, disassemble or otherwise attempt to derive source code from any of our services, software, or documentation, or create or attempt to create a substitute or similar service or product through use of or access to the Program or proprietary information related thereto. Confidentiality You agree not to disclose information you obtain from us and or from our clients, advertisers, suppliers and forum members. All information submitted to by an end-user customer pursuant to a Program is proprietary information of businesslegions.com. Such customer information is confidential and may not be disclosed. Publisher agrees not to reproduce, disseminate, sell, distribute or commercially exploit any such proprietary information in any manner. NON-ASSIGNMENT OF RIGHTS Your rights of whatever nature cannot be assigned nor transferred to anybody, and any such attempt may result in termination of this Agreement, without liability to us. However, we may assign this Agreement to any person at any time without notice. Waiver Failure of the businesslegions.com to insist upon strict performance of any of the terms, conditions and covenants hereof shall not be deemed a relinquishment or waiver of any rights or remedy that the we may have, nor shall it be construed as a waiver of any subsequent breach of the terms, conditions or covenants hereof, which terms, conditions and covenants shall continue to be in full force and effect. Severability of Terms. In the event that any provision of these Terms and Conditions is found invalid or unenforceable pursuant to any judicial decree or decision, such provision shall be deemed to apply only to the maximum extent permitted by law, and the remainder of these Terms and Conditions shall remain valid and enforceable according to its terms. Entire Agreement This Agreement shall be governed by and construed in accordance with the substantive laws of Australia , without any reference to conflict-of-laws principles. The Agreement describes and encompasses the entire agreement between us and you, and supersedes all prior or contemporaneous agreements, representations, warranties and understandings with respect to the Site, the contents and materials provided by or through the Site, and the subject matter of this Agreement. Choice of Law; Jurisdiction; Forum Any dispute, controversy or difference which may arise between the parties out of, in relation to or in connection with this Agreement is hereby irrevocably submitted to the exclusive jurisdiction of the courts of Australia , to the exclusion of any other courts without giving effect to its conflict of laws provisions or your actual state or Australia of residence.

Enter Captcha :

Accept our terms