Original PDF Ebook – Python Machine Learning Cookbook1st Edition – 9781786464477
100 recipes that teach you how to perform various machine learning tasks in the real world_x000D_About This Book_x000D_
Understand which algorithms to use in a given context with the help of this exciting recipe-based guide_x000D_
Learn about perceptrons and see how they are used to build neural networks_x000D_
Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniques_x000D_
Who This Book Is For_x000D_
This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code._x000D_
What You Will Learn_x000D_
Explore classification algorithms and apply them to the income bracket estimation problem_x000D_
Use predictive modeling and apply it to real-world problems_x000D_
Understand how to perform market segmentation using unsupervised learning_x000D_
Explore data visualization techniques to interact with your data in diverse ways_x000D_
Find out how to build a recommendation engine_x000D_
Understand how to interact with text data and build models to analyze it_x000D_
Work with speech data and recognize spoken words using Hidden Markov Models_x000D_
Analyze stock market data using Conditional Random Fields_x000D_
Work with image data and build systems for image recognition and biometric face recognition_x000D_
Grasp how to use deep neural networks to build an optical character recognition system
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