Description: Further DetailsTitle: Python Machine Learning BlueprintsCondition: NewFormat: PaperbackSubtitle: Put your machine learning concepts to the test by developing real-world smart projects, 2nd EditionISBN-10: 1788994175EAN: 9781788994170ISBN: 9781788994170Publisher: Packt Publishing LimitedRelease Date: 01/31/2019Description: Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and KerasKey FeaturesGet to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and KerasImplement advanced concepts and popular machine learning algorithms in real-world projectsBuild analytics, computer vision, and neural network projects Book Description Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects.What you will learnUnderstand the Python data science stack and commonly used algorithmsBuild a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window Understand NLP concepts by creating a custom news feedCreate applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forkedGain the skills to build a chatbot from scratch using PySparkDevelop a market-prediction app using stock dataDelve into advanced concepts such as computer vision, neural networks, and deep learningWho this book is for This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Alexander Combs, Michael RomanGenre: Computing & InternetRelease 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 Blueprints
Title: Python Machine Learning Blueprints
Subtitle: Put your machine learning concepts to the test by developing real
ISBN-10: 1788994175
EAN: 9781788994170
ISBN: 9781788994170
Release Date: 01/31/2019
Release Year: 2019
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
Number of Pages: 378 Pages
Publication Name: Python Machine Learning Blueprints : Put Your Machine Learning Concepts to the Test by Developing Real-World Smart Projects, 2nd Edition
Language: English
Publisher: Packt Publishing, The Limited
Subject: Intelligence (Ai) & Semantics, Natural Language Processing, Neural Networks, Programming Languages / Python
Publication Year: 2019
Type: Textbook
Item Length: 3.6 in
Subject Area: Computers
Author: Michael Roman, Alexander Combs
Item Width: 3 in
Format: Trade Paperback
