TY  - BOOK
AU  - Jason Bell
TI  - Machine Learning for Big Data
SN  - 9788126553372
U1  - 006.31 BEL-M 
PY  - 2015///
CY  - New Delhi
PB  - Wiley India
KW  - Machine Learning -- Big Data
N2  - If you want to get into machine learning but fear the math, this book is your ultimate guide. Specifically designed for non-mathematicians, this useful guide presents a breakdown of each variant of machine learning, with examples and working code. You'll learn the various algorithms, data preparation techniques, trees, and networks, and get acquainted with the tools that help you get more from your data. You'll understand how it works, where it's used, and how to make it great.      Learn the languages of machine learning: Weka, Mahout™, Spark™, and R     Make the right data storage and cleaning decisions, tailored to your desired output     Understand decision trees, Bayesian networks, artificial neural networks, and association rule learning     Implement support vector machines knowing the relevant advantages and limitations     Apply Big Data processing techniques with Hadoop®, Mahout, and MapReduce     Use Spring XD to capture streaming data and learn in real time     Access the tools you need to plan your project and acquire and process data     Study examples and use provided working code for hands-on learning
ER  -