Blaminsky Jarek - Clojure for machine learning : successfully leverage advanced machine learning techniques using the Clojure ecosystem
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- Book:Clojure for machine learning : successfully leverage advanced machine learning techniques using the Clojure ecosystem
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Clojure for machine learning : successfully leverage advanced machine learning techniques using the Clojure ecosystem: summary, description and annotation
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- Covers a lot of machine learning techniques with Clojure programming.
- Encompasses precise patterns in data to predict future outcomes using various machine learning techniques
- Packed with several machine learning libraries available in the Clojure ecosystem
If you are a Clojure developer who wants to explore the area of machine learning, this book is for you. Basic understanding of the Clojure programming language is required. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.
What You Will Learn- Build systems that use machine learning techniques in Clojure
- Understand machine learning problems such as regression, classification, and clustering
- Discover the data structures used in machine learning techniques such as artif cial neural networks and support vector machines
- Implement machine learning algorithms in Clojure
- Learn more about Clojure libraries to build machine learning systems
- Discover techniques to improve and debug solutions built on machine learning techniques
- Use machine learning techniques in a cloud architecture for the modern Web
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.
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.
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.
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Copyright 2014 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: April 2014
Production Reference: 1180414
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78328-435-1
www.packtpub.com
Cover Image by Jarek Blaminsky (<>)
Author
Akhil Wali
Reviewers
Jan Borgelin
Thomas A. Faulhaber, Jr.
Shantanu Kumar
Dr. Uday Wali
Commissioning Editor
Rubal Kaur
Acquisition Editor
Llewellyn Rozario
Content Development Editor
Akshay Nair
Technical Editors
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Graphics
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Cover Work
Nitesh Thakur
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.
I would like to thank my family and friends for their constant encouragement and support. I want to thank my father in particular for his technical guidance and help, which helped me complete this book and also my education. Thank you to my close friends, Kiranmai, Nalin, and Avinash, for supporting me throughout the course of writing this book.
Jan Borgelin is the co-founder and CTO of BA Group Ltd., a Finnish IT consultancy that provides services to global enterprise clients. With over 10 years of professional software development experience, he has had a chance to work with multiple programming languages and different technologies in international projects, where the performance requirements have always been critical to the success of the project.
Thomas A. Faulhaber, Jr. is the Principal of Infolace (www.infolace.com), a San Francisco-based consultancy. Infolace helps clients from start-ups and global brands turn raw data into information and information into action. Throughout his career, he has developed systems for high-performance networking, large-scale scientific visualization, energy trading, and many more.
He has been a contributor to, and user of, Clojure and Incanter since their earliest days. The power of Clojure and its ecosystem (for both code and people) is an important "magic bullet" in his practice. He was also a technical reviewer for Clojure Data Analysis Cookbook , Packt Publishing .
Shantanu Kumar is a software developer living in Bangalore, India, with his wife. He started programming using QBasic on MS-DOS when he was at school (1991). There, he developed a keen interest in the x86 hardware and assembly language, and dabbled in it for a good while after. Later, he programmed professionally in several business domains and technologies while working with IT companies and the Indian Air Force.
Having used Java for a long time, he discovered Clojure in early 2009 and has been a fan ever since. Clojure's pragmatism and fine-grained orthogonality continues to amaze him, and he believes that this is the reason he became a better developer. He is the author of Clojure High Performance Programming , Packt Publishing , is an active participant in the Bangalore Clojure users group, and develops several open source Clojure projects on GitHub.
Dr. Uday Wali has a bachelor's degree in Electrical Engineering from Karnatak University, Dharwad. He obtained a PhD from IIT Kharagpur in 1986 for his work on the simulation of switched capacitor networks.
He has worked in various areas related to computer-aided design, such as solid modeling, FEM, and analog and digital circuit analysis.
He worked extensively with Intergraph's CAD software for over 10 years since 1986. He then founded C-Quad in 1996, a software development company located in Belgaum, Karnataka. C-Quad develops custom ERP software solutions for local industries and educational institutions. He is also a professor of Electronics and Communication at KLE Engineering College, Belgaum. He guides several research scholars who are affiliated to Visvesvaraya Technological University, Belgaum.
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Machine learning has a vast variety of applications in computing. Software systems that use machine learning techniques tend to provide their users with a better user experience. With cloud data becoming more relevant these days, developers will eventually build more intelligent systems that simplify and optimize any routine task for their users.
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