Machine learning for big data : hands-on for developers and technical professionals
Material type: TextPublication details: Delhi Wiley 2016Description: xxiv, 380p. 24 cm ; PbkISBN:- 978-8126553372
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | H.T. Parekh Library | GSB Collection | 006.31 JAS (Browse shelf(Opens below)) | Available | B2231 |
Rs.699/-
What is machine learning? --
Planning machine learning --
Working with decision trees --
Bayesian networks --
Artificial neural networks --
Association rules learning --
Support vector machines --
Clustering --
Machine learning in real time with Spring XD --
Maching learning as a batch process --
Apache Spark --
Machine learning with R.
This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: learn the languages of machine learning including Hadoop, Mahout, and Weka; understand decision trees, Bayesian networks, and artificial neural networks; implement association rule, real time, and batch learning; develop a strategic plan for safe, effective, and efficient machine learning.
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