Python Machine Learning Solutions [Video]

4.8 (4 reviews total)
By Prateek Joshi
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  1. The Realm of Supervised Learning

About this video

Machine learning is increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.

With this course, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, you’ll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.

You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modelling, data visualization techniques, recommendation engines, and more with the help of real-world examples.

Style and Approach

These independent videos teach you how to perform various machine learning tasks in different environments. Each of the video in the section will cover a real-life scenario.

Publication date:
October 2016
4 hours 30 minutes

About the Author

  • Prateek Joshi

    Prateek Joshi is an artificial intelligence researcher, an author of several books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venturefunded Silicon Valley start-up building an intelligence platform for water facilities. He graduated from the University of Southern California with a Master's degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research.

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Latest Reviews

(4 reviews total)
The presentation is clear and concise. Focusses on the programming aspects. Author occasionally uses a functional programming style, which I like.
Good quality, at a reasonable price.
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