Akhil Wali is a software developer, and has been writing code since 1997. Currently, his areas of work are ERP and business intelligence systems. He has also worked in several other areas of computer engineering, such as search engines, document collaboration, and network protocol design. He mostly works with C# and Clojure. He is also well versed in several other popular programming languages such as Ruby, Python, Scheme, and C. He currently works with Computer Generated Solutions, Inc. This is his first book.
Clojure for Machine Learning
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Clojure for Machine Learning
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Overview of this book
<p>Clojure for Machine Learning is an introduction to machine learning techniques and algorithms. This book demonstrates how you can apply these techniques to real-world problems using the Clojure programming language.</p>
<p>It explores many machine learning techniques and also describes how to use Clojure to build machine learning systems. This book starts off by introducing the simple machine learning problems of regression and classification. It also describes how you can implement these machine learning techniques in Clojure. The book also demonstrates several Clojure libraries, which can be useful in solving machine learning problems.</p>
<p>Clojure for Machine Learning familiarizes you with several pragmatic machine learning techniques. By the end of this book, you will be fully aware of the Clojure libraries that can be used to solve a given machine learning problem.</p>
Table of Contents (17 chapters)
Clojure for Machine Learning
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Working with Matrices
Understanding Linear Regression
Categorizing Data
Building Neural Networks
Selecting and Evaluating Data
Building Support Vector Machines
Clustering Data
Anomaly Detection and Recommendation
Large-scale Machine Learning
References
Index
Customer Reviews