This book is for developers with experience of C# and .NET. No other experience is require or assumed—just a passion for machine learning, artificial intelligence, and deep learning.
Hands-On Machine Learning with C#
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Hands-On Machine Learning with C#
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Overview of this book
<p>The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various available machine learning tools through which users can add intelligent features.These tools include image and motion detection, Bayes intuition, and deep learning, to C# .NET applications.</p>
<p>Using this book, you will learn to implement supervised and unsupervised learning algorithms and will be better equipped to create excellent predictive models. In addition, you will learn both supervised and unsupervised forms of regression, mainly logistic and linear regression, in depth. Next, you will use the nuML machine learning framework to learn how to create a simple decision tree. In the concluding chapters, you will use the Accord.Net machine learning framework to learn sequence recognition of handwritten numbers using dynamic time warping. We will also cover advanced concepts such as artificial neural networks, autoencoders, and reinforcement learning.</p>
<p>By the end of this book, you will have developed a machine learning mindset and will be able to leverage C# tools, techniques, and packages to build smart, predictive, and real-world business applications.</p>
Table of Contents (14 chapters)
Preface
Free Chapter
Machine Learning Basics
ReflectInsight – Real-Time Monitoring
Bayes Intuition – Solving the Hit and Run Mystery and Performing Data Analysis
Risk versus Reward – Reinforcement Learning
Fuzzy Logic – Navigating the Obstacle Course
Color Blending – Self-Organizing Maps and Elastic Neural Networks
Facial and Motion Detection – Imaging Filters
Encyclopedias and Neurons – Traveling Salesman Problem
Should I Take the Job – Decision Trees in Action
Deep Belief – Deep Networks and Dreaming
Microbenchmarking and Activation Functions
Intuitive Deep Learning in C# .NET
Quantum Computing – The Future
Customer Reviews