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Grokking Machine Learning

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Grokking Machine Learning

Grokking Machine Learning (sách keo gáy, bìa mềm)
 
Categories:Computers
 
Year:2021
 
Edition:1
 
Language:english
 
Pages:513
 
Discover valuable machine learning techniques you can understand and apply using just high-school math.
 
In Grokking Machine Learning you will learn:
 
• Supervised algorithms for classifying and splitting data
 
• Methods for cleaning and simplifying data
 
• Machine learning packages and tools
 
• Neural networks and ensemble methods for complex datasets
 
Grokking
Machine Learning teaches you how to apply ML to your projects using
only standard Python code and high school-level math. No specialist
knowledge is required to tackle the hands-on exercises using Python and
readily available machine learning tools. Packed with easy-to-follow
Python-based exercises and mini-projects, this book sets you on the path
to becoming a machine learning expert.
 
About the technology
 
Discover
powerful machine learning techniques you can understand and apply using
only high school math! Put simply, machine learning is a set of
techniques for data analysis based on algorithms that deliver better
results as you give them more data. ML powers many cutting-edge
technologies, such as recommendation systems, facial recognition
software, smart speakers, and even self-driving cars. This unique book
introduces the core concepts of machine learning, using relatable
examples, engaging exercises, and crisp illustrations.
 
About the book
 
Grokking
Machine Learning presents machine learning algorithms and techniques in
a way that anyone can understand. This book skips the confused academic
jargon and offers clear explanations that require only basic algebra.
As you go, you’ll build interesting projects with Python, including
models for spam detection and image recognition. You’ll also pick up
practical skills for cleaning and preparing data.
 
What's inside
 
• Supervised algorithms for classifying and splitting data
 
• Methods for cleaning and simplifying data
 
• Machine learning packages and tools
 
• Neural networks and ensemble methods for complex datasets
 
About the reader
 
For readers who know basic Python. No machine learning knowledge necessary.
 
About the author
 
Luis
G. Serrano is a research scientist in quantum artificial intelligence.
Previously, he was a Machine Learning Engineer at Google and Lead
Artificial Intelligence Educator at Apple.