Python Machine Learning Cookbook Book PDF, ePub eBook

Join our eBook service for unlimited books & audiobooks. Get a free 7 day subscription! ↓↓↓↓↓


Book Descriptions:

Key Features

• Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
• Learn about perceptrons and see how they are used to build neural networks
• 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

Book Description

Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.

With this book, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.

You'll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.

What you will learn

• Explore classification algorithms and apply them to the income bracket estimation problem
• Use predictive modeling and apply it to real-world problems
• Understand how to perform market segmentation using unsupervised learning
• Explore data visualization techniques to interact with your data in diverse ways
• Find out how to build a recommendation engine
• Understand how to interact with text data and build models to analyze it
• Work with speech data and recognize spoken words using Hidden Markov Models
• Analyze stock market data using Conditional Random Fields
• Work with image data and build systems for image recognition and biometric face recognition
• Grasp how to use deep neural networks to build an optical character recognition system

About the Author

Prateek Joshi is an Artificial Intelligence researcher and a published author. He has over eight years of experience in this field with a primary focus on content-based analysis and deep learning. He has written two books on Computer Vision and Machine Learning. His work in this field has resulted in multiple patents, tech demos, and research papers at major IEEE conferences.

People from all over the world visit his blog, and he has received more than a million page views from over 200 countries. He has been featured as a guest author in prominent tech magazines. He enjoys blogging about topics, such as Artificial Intelligence, Python programming, abstract mathematics, and cryptography. You can visit his blog at www.prateekvjoshi.com.

He has won many hackathons utilizing a wide variety of technologies. He is an avid coder who is passionate about building game-changing products. He graduated from University of Southern California, and he has worked at companies such as Nvidia, Microsoft Research, Qualcomm, and a couple of early stage start-ups in Silicon Valley. You can learn more about him on his personal website at www.prateekj.com.

Table of Contents

1. The Realm of Supervised Learning
2. Constructing a Classifier
3. Predictive Modeling
4. Clustering with Unsupervised Learning
5. Building Recommendation Engines
6. Analyzing Text Data
7. Speech Recognition
8. Dissecting Time Series and Sequential Data
9. Image Content Analysis
10. Biometric Face Recognition
11. Deep Neural Networks
12. Visualizing Data

Python Machine Learning Cookbook by Prateek Joshi

From reader reviews:

Barbara Richardson:

Many people spending their moment by playing outside along with friends, fun activity along with family or just watching TV all day long. You can have new activity to enjoy your whole day by studying a book. Ugh, you think reading a book will surely hard because you have to accept the book everywhere? It alright you can have the e-book, taking everywhere you want in your Smart phone. Like Python Machine Learning Cookbook which is finding the e-book version. So , try out this book? Let's view.

Robert Landers:

This Python Machine Learning Cookbook is fresh way for you who has interest to look for some information given it relief your hunger of information. Getting deeper you on it getting knowledge more you know or perhaps you who still having little bit of digest in reading this Python Machine Learning Cookbook can be the light food for you personally because the information inside that book is easy to get simply by anyone. These books build itself in the form that is reachable by anyone, that's why I mean in the e-book web form. People who think that in publication form make them feel tired even dizzy this reserve is the answer. So there is not any in reading a book especially this one. You can find what you are looking for. It should be here for you. So , don't miss the idea! Just read this e-book variety for your better life and knowledge.

Ethel Swafford:

As we know that book is essential thing to add our understanding for everything. By a reserve we can know everything you want. A book is a set of written, printed, illustrated or perhaps blank sheet. Every year was exactly added. This e-book Python Machine Learning Cookbook was filled about science. Spend your spare time to add your knowledge about your research competence. Some people has diverse feel when they reading a new book. If you know how big benefit of a book, you can sense enjoy to read a reserve. In the modern era like at this point, many ways to get book that you wanted.

Kari Hughes:

Reading a e-book make you to get more knowledge from it. You can take knowledge and information coming from a book. Book is published or printed or outlined from each source in which filled update of news. In this modern era like now, many ways to get information are available for a person. From media social just like newspaper, magazines, science reserve, encyclopedia, reference book, book and comic. You can add your knowledge by that book. Are you hip to spend your spare time to open your book? Or just in search of the Python Machine Learning Cookbook when you required it?