Machine learning is all about understanding and predicting patterns in data. Handling massive amounts of data is not uncommon in this day and age, and machine learning helps us model large amounts of data, thus allowing us to predict future values in the given data. Machine learning is still an area of active research in the field of computer science.
Clojure for Machine Learning is an introduction to machine learning problems, techniques and algorithms. This book demonstrates how you can apply these techniques to real-world problems using the Clojure programming language.
This book explores several machine learning techniques and also describes how you can use Clojure to build machine learning systems. You will explore several popular Clojure libraries which can be used to leverage machine learning techniques.
This book starts off by introducing simple machine learning problems of regression and classification. In the later chapters, more advanced models of machine learning such as clustering, artificial neural networks and support vector machines will be explored in detail. This book also describes how you can implement these machine learning techniques in Clojure. Also, several Clojure libraries which can be useful in solving machine learning problems are also demonstrated.
"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 could be used to solve a given machine learning problem.
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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.
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