click to
look inside
look inside
Look inside
Source code
Errata
Book Forum
Source code on GitHub
Slideshare: Want to Learn Machine Learning Inside Out?
🎙️ Luis G. Serrano interviewed
🎙️ Interview with Luis G. Serrano
🎙️ Thoughtful Software Podcast with Luis G. Serrano
🎙️ Profitable Python with Luis Serrano
🎙️ Luis Serrano: On Unlocking The Intuition Behind Math and Machine Learning
🎙️ Math and Machine Learning In Pedestrian Terms with Luis Serrano
🎙️ Luis Serrano: AI Content Creation, Teaching ML, Grokking ML
🎙️ Artificial Intelligence with Luis Serrano
🎙️ Expert Interview ~ Luis Serrano ~ Grokking ML & Quantum ML
Register your pBook for a free eBook
FREE
You can see this entire book for free.Click the table of contents to start reading.
placing your order...
Don't refresh or navigate away from the page.
- customers also bought these items
- Grokking Deep Learning
- Machine Learning Bookcamp
- Grokking Algorithms
- Math and Architectures of Deep Learning
- Grokking Functional Programming
- customers also bought these items
- Data Science Bookcamp
- Grokking Artificial Intelligence Algorithms
- Deep Learning with Python, Second Edition
- Math for Programmers
- Grokking Algorithms
Did you think machine learning is complicated and hard to master? It’s not! Read this book! Serrano demystifies some of the best-held secrets of the machine learning society.
Look inside
Discover valuable machine learning techniques you can understand and apply using just high-school math.
In Grokking Machine Learning you will learn:
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.
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.FREE domestic shipping on orders of three or more print books
The first step to take on your machine learning journey.
A nicely written guided introduction, especially for those who want to code but feel shaky in their mathematics.
The most approachable introduction to machine learning I’ve had the pleasure to read in recent years. Highly recommended.
