Practical Machine Learning ( 2016 )
Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
Comprehensive practical solutions taking you into the future of machine learning
Go a step further and integrate your machine learning projects with Hadoop
Who This Book Is For
This book has been created for data scientists who want to see Machine learning in action and explore its real-world applications.
Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately.