Programming in C (4th Edition) Introduction to Machine Learning
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Programming in C will teach you how to write programs in the C programming language. Whether youíre a novice or experienced programmer, this book will provide you with a clear understanding of this language, which is the foundation for many object-oriented programming languages such as C++, Objective-C, C#, and Java. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.
Git in Practice The Design and Implementation of the FreeBSD Operating System (2nd Edition)
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Git in Practice is a collection of 66 tested techniques that will optimize the way you and your team manage your development projects. The book begins with a brief reminder of the core version control concepts you need when using Git and moves on to the high-value features you may not have explored yet. The most complete, authoritative technical guide to the FreeBSD kernelís internal structure has now been extensively updated to cover all major improvements between Versions 5 and 11. Approximately one-third of this editionís content is completely new, and another one-third has been extensively rewritten.
Hadoop in Practice MATLAB For Dummies
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Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. If you work in a STEM field, chances are you'll be using MATLAB on a daily basis. MATLAB is a popular and powerful computational tool and this book provides everything you need to start manipulating and plotting your data.