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  • Author: rukensai
  • Date: 18-11-2021, 13:55
18-11-2021, 13:55

Machine Learning: The Ultimate Guide To Discover The Mathematics Of Computer Science

Category: E-Books

Machine Learning: The Ultimate Guide To Discover The Mathematics Of Computer Science
English | 2021 | ASIN: B09JP6YMC6 | 113 pages | EPUB.PDF.AZW3 | 1.71 Mb

Do you want to learn more about the world of Machine Learning and its applications? Would you like to improve and refine your Python programming skills? Would you like to become computer science savvy? If the answer to these questions is yes, then keep reading…

Machine Learning is rapidly changing our entire life, and thousands of companies all around the world are desperately searching for experts who can guide their transition into this fascinating field.

Whether you want to start from scratch or extend your programming knowledge, this book will ignite your passion for computer science and open tons of doors in both your personal and professional life.

WARNING: Do not read this book if you're looking for a boring textbook containing a lot of dry math and programming lingo.

Jason Callaway has condensed everything you need in a simple and clear way, with practical examples, detailed explanations, tips and tricks from his experience. His intuitive yet rigorous approach will speed up your learning, providing actionable insights on the key fundamentals of ML with Python programming. You will gain a broad picture of the ML ecosystem and will be well versed in the best practices of applying advanced techniques to analyze and solve any kind of problem in an extremely short time, even if you are a complete beginner.

Here is just a tiny fraction of what you will learn:
The basics of Python programming: variables, data types, basic and advanced operations
Essential Python libraries such as NumPy, Pandas, Matplotlib
The most up-to-date computational methods and visualization techniques for data science
Real-world applications of machine learning and artificial intelligence
How to build statistical and machine learning models
Neural networks and predictive modeling
And much more

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