Description: Further DetailsTitle: Python Machine Learning By ExampleCondition: NewSubtitle: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd EditionEAN: 9781800209718ISBN: 9781800209718Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 10/30/2020Description: A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniquesKey FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook Description Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML). With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements. At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries. Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP. By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.What you will learnUnderstand the important concepts in ML 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 analysis 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 2, PyTorch, and scikit-learnWho this book is for If you’re a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Yuxi (Hayden) LiuGenre: Computing & InternetISBN-10: 1800209711Release Year: 2020 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: Build intelligent systems using Python, TensorFlow 2, PyTorch, an
EAN: 9781800209718
ISBN: 9781800209718
Release Date: 10/30/2020
Release Year: 2020
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1800209711
Number of Pages: 526 Pages
Language: English
Publication Name: Python Machine Learning by Example : Build Intelligent Systems Using Python, TensorFlow 2, Pytorch, and Scikit-Learn, 3rd Edition
Publisher: Packt Publishing, The Limited
Publication Year: 2020
Subject: Intelligence (Ai) & Semantics, Natural Language Processing, Programming Languages / Python
Type: Textbook
Author: Yuxi (Hayden) Liu
Item Length: 3.6 in
Subject Area: Computers
Item Width: 3 in
Format: Trade Paperback
