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It's time to dispel the myth that machine learning is difficult. 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 readily-available machine learning tools!
about the technology
Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Whatever your field, knowledge of machine learning is becoming an essential skill. Python, along with its libraries like NumPy, Pandas, and scikit-learn, has become the go-to language for machine learning.
about the book
In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Youβll only need high school math to dive into popular approaches and algorithms. Practical examples illustrate each new concept to ensure youβre grokking as you go. Youβll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. When youβre done, youβll have an intuitive understanding of the right approach for any machine learning task or project.
what's inside
Different types of machine learning, including supervised and unsupervised learning
Algorithms for simplifying, classifying, and splitting data
Machine learning packages and tools
Hands-on exercises with fully-explained Python code samples
about the reader
For readers with intermediate programming knowledge in Python or a similar language. No machine learning experience or advanced math skills necessary.
You don't need to be a math genius to understand every lesson in this book!
This is the book I always wanted to read when I started with ML.
The best introduction to Machine Learning that won't labor you with mathematical formulas.
A nicely written guided introduction to machine learning, especially apt for those who want to code and understand the content, but feel shaky in their mathematics.
The tone is friendly and casual, which is welcoming against the more frequently-seen rigorous textbooks.
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