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Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition

Book Specification

Binding Paperback
Language English
Number Of Pages 382
Author Yuxi (Hayden) Liu
Publisher Packt Publishing Limited
Isbn-10 1789616727
Isbn-13 9781789616729
Dimension 19.05*2.21*23.5

Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition

Yuxi (Hayden) Liu's Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition

Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn Key Features Exploit the power of Python to explore the world of data mining and data analytics Discover machine learning algorithms to solve complex challenges faced by data scientists today Use Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projects Book DescriptionThe surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you're interested in ML, this book will serve as your entry point to ML. Python Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You'll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way. With the help of this extended and updated edition, you'll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more. By the end of the book, you'll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities. What you will learn Understand the important concepts in machine learning and data science Use Python to explore the world of data mining and analytics Scale up model training using varied data complexities with Apache Spark Delve deep into text and NLP using Python libraries such NLTK and gensim Select and build an ML model and evaluate and optimize its performance Implement ML algorithms from scratch in Python, TensorFlow, and scikit-learn Who this book is forIf you're a machine learning aspirant, data analyst, or data engineer highly passionate about machine learning and want to begin working on ML assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial although not necessary.
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Amazon, Paperback Rs. 1998.0

Why you should read Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition by Yuxi (Hayden) Liu

This book has been written by Yuxi (Hayden) Liu, who has written books like Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition,R Deep Learning Projects: Master the techniques to design and develop neural network models in R,Python Machine Learning by Example. The books are written in Computer Science,Databases category. This book is read by people who are interested in reading books in category : Computer Science. So, if you want to explore books similar to This book, you must read and buy this book.

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Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition Paperback English
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How long would it take for you to read Python Machine Learning By Example: Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 76 hours
Average 38 hours
Good 25 hours
Excellent 12 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 25 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.

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