Mining of Massive Datasets Book
This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets.
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning Book
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.
Machine Learning for Hackers: Case Studies and Algorithms to Get You Started Book
If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks.
Advanced Machine Learning with Python Book
This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques.
Mining The Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub and More Book
You’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.
Machine Learning in Action Book
Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis.
Building Machine Learning Systems with Python Book
Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation.
Learning scikit-learn: Machine Learning in Python Book
Machine learning, the art of creating applications that learn from experience and data, has been around for many years.With Learning scikit-learn: Machine Learning in Python, you will learn to incorporate machine learning in your applications.