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Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world Prateek Joshi

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world Prateek Joshi - okladka książki

Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world Prateek Joshi - okladka książki

Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world Prateek Joshi - audiobook MP3

Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world Prateek Joshi - audiobook CD

Autor:
Prateek Joshi
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
304
Dostępne formaty:
     PDF
     ePub
     Mobi
Machine learning is becoming 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 book, 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 book, 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 modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.

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O autorze książki

Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.

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