Building Recommender Systems with Machine Learning and AI [Video]

Building Recommender Systems with Machine Learning and AI [Video]
English | Size: 2.92 GB
Category: CBTs

Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon’s personalized product recommendation technologies. You’ve seen automated recommendations everywhere-on Netflix’s home page, on YouTube, and on Amazon-as these machine learning algorithms learn about your unique interests, and show the best products or content for you as an individual. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you’ll become very valuable to them. We cover tried-and-true recommendation algorithms based on neighborhood-based collaborative filtering and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks.
[Read more…]

Mike Michalowicz – Profit First Transform Your Business from a Cash-Eating Monster to a Money-Making Machine

Mike Michalowicz – Profit First: Transform Your Business from a Cash-Eating Monster to a Money-Making Machine
English | Size: 236.08 MB
Category: Small Business / Entrepreneurs

Conventional accounting uses the logical (albeit, flawed) formula: Sales – Expense = Profit. The problem is, businesses are run by humans, and humans aren’t always logical. Serial entrepreneur Mike Michalowicz has developed a behavioral approach to accounting to flip the formula: Sales – Profit = Expenses. Just as the most effective weight loss strategy is to limit portions by using smaller plates, Michalowicz shows that by taking profit first and apportioning only what remains for expenses, entrepreneurs will transform their businesses from cash-eating monsters to profitable cash cows. Using Michalowicz’s Profit First system, listeners will learn that: [Read more…]

PentesterAcademy – Data Science and Machine Learning for Infosec

PentesterAcademy – Data Science and Machine Learning for Infosec
English | Size: 20.5 GB
Category: Programming | Security

The age of intelligent machines is here! We are now seeing Machine Learning disrupting every technological field including computer security. As more and more security products use Machine Learning, it is important as Pentesters and Security Researchers to understand how to make and break this technology! [Read more…]

Ryan Deiss – Email Follow-Up Machine

Ryan Deiss – Email Follow-Up Machine
English | Size: 7.87 GB
Category: Business

How to craft an automated email follow up series that converts…even if you’ve never written "sales copy" in the past (TIP: Our copy-and-paste templates make it quick, simple, and nearly-impossible to mess up.)
The 4 types of subject lines that engage your subscriber and demand to be opened (PLUS: 30+ examples of "killer" subject lines you can swipe for your own campaigns)
The 10-step plan to quickly roll out an "Indoctrination Series" that makes a positive first impression, and skyrockets the open rates of ever email you send in the future
How to leverage the 4 types of Conversion Triggers to overcome known objections, and exactly when and how often you should deploy each to maximize revenue without "burning out" your list. [Read more…]

Packtpub – Mathematical Foundation for AI and Machine Learning

Packtpub – Mathematical Foundation for AI and Machine Learning
English | Size: 1.81 GB
Category: E-learning | others

Artificial Intelligence has gained importance in the last decade with a lot depending on the development and integration of AI in our daily lives. The progress that AI has already made is astounding with innovations like self-driving cars, medical diagnosis and even beating humans at strategy games like Go and Chess. The future for AI is extremely promising and it isn’t far from when we have our own robotic companions. This has pushed a lot of developers to start writing codes and start developing for AI and ML programs. However, learning to write algorithms for AI and ML isn’t easy and requires extensive programming and mathematical knowledge. Mathematics plays an important role as it builds the foundation for programming for these two streams. And in this course, we’ve covered exactly that. We designed a complete course to help you master the mathematical foundation required for writing programs and algorithms for AI and ML. [Read more…]

Packt – Hands-on Scikit-learn for Machine Learning [Video]

Packt – Hands-on Scikit-learn for Machine Learning [Video]
English | Size: 1.59 GB
Category: CBTs

Scikit-learn is arguably the most popular Python library for Machine Learning today. Thousands of Data Scientists and Machine Learning practitioners use it for day to day tasks throughout a Machine Learning project’s life cycle. Due to its popularity and coverage of a wide variety of ML models and built-in utilities, jobs for Scikit-learn are in high demand, both in industry and academia.
[Read more…]

TeamTreeHouse – Machine Learning Basics Course

TeamTreeHouse – Machine Learning Basics Course
English | Size: 161.45 MB
Category: Tutorial

Machine learning encompasses many different ideas, programming languages, frameworks, and approaches to the subject, so the term "machine learning" is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules and learn about new things, on its own.
In this course, we’ll explore some of the big ideas, and toward the end, we’ll even write a little bit of code in Python that can make some intelligent predictions. [Read more…]

Adobe Photoshop Plugin – Mr Retro – Machine Wash Vol 4

Adobe Photoshop Plugin – Mr Retro – Machine Wash Vol 4
English | Size: 355 MB
Category: Tutorial

Finally you can create professional quality image aging and weathering effects with our Machine Wash Image Filters! This closely guarded secret of the apparel industry can now be yours! Introducing the fourth in our Machine Wash Filter Collection – Machine Wash Volume IV! Featuring 60 more amazing new weathering, distress, and tactile effects you’ll be sure to love.These filters have been developed and tested for use with Adobe Photoshop 6.0 to the current CS3 version as well as now supporting Photoshop Elements 1.0 and higher. Works on both Mac and Windows. [Read more…]

Marcos Lopez de Prado – Advances in Financial Machine Learning

Marcos Lopez de Prado – Advances in Financial Machine Learning
English | Size: 414.46 MB
Category: Tutorial

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance. [Read more…]

Udemy – Machine Learning with Python Data Science for Beginners

Udemy – Machine Learning with Python Data Science for Beginners
English | Size: 1.18 GB
Category: CBTs

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine Learning is the most in-demand and Highest Paying job of 2017 and the same trend will follow for the coming years. With an average salary of $120,000 (Glassdoor and Indeed), Machine Learning will help you to get one of the top-paying jobs. This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science! [Read more…]