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Yuxi (Hayden) Liu Python Machine Learning By Example (Paperback) (UK IMPORT)

Description: Further DetailsTitle: Python Machine Learning By ExampleCondition: NewSubtitle: Implement machine learning algorithms and techniques to build intelligent systems, 2nd EditionEAN: 9781789616729ISBN: 9781789616729Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 02/28/2019Description: Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learnKey FeaturesExploit the power of Python to explore the world of data mining and data analyticsDiscover machine learning algorithms to solve complex challenges faced by data scientists todayUse Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projectsBook Description The 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 learnUnderstand the important concepts in machine learning and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text and NLP using Python libraries such NLTK and gensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow, and scikit-learnWho this book is for If 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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Yuxi (Hayden) LiuGenre: Computing & InternetISBN-10: 1789616727Release Year: 2019 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Book Title: Python Machine Learning By Example

Title: Python Machine Learning By Example

Subtitle: Implement machine learning algorithms and techniques to build int

EAN: 9781789616729

ISBN: 9781789616729

Release Date: 02/28/2019

Release Year: 2019

Country/Region of Manufacture: GB

Item Height: 93mm

Genre: Computing & Internet

ISBN-10: 1789616727

Number of Pages: 382 Pages

Publication Name: Python Machine Learning by Example : Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition

Language: English

Publisher: Packt Publishing, The Limited

Subject: Machine Theory, Intelligence (Ai) & Semantics, Neural Networks, Programming Languages / Python

Publication Year: 2019

Type: Textbook

Author: Yuxi (Hayden) Liu

Item Length: 3.6 in

Subject Area: Computers

Item Width: 3 in

Format: Trade Paperback

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