With Machine Learning, Deep Learning and NLP Examples

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• Contains practical real-world examples of data analytics
• Covers a wide spectrum from basic statistics to ETL, deep learning and IoT
• Gives an idea of every technical aspect of an industrial analytics project
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eBook $34.99 price for USA • ISBN 978-1-4842-3450-1 • Digitally watermarked, DRM-free • Included format: PDF, EPUB • Immediate eBook download after purchase and usable on all devices • Bulk discounts available Softcover$44.99
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Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis.
After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects.
What You Will Learn

• Work with data analysis techniques such as classification, clustering, regression, and forecasting
• Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL
• Examine the different big data frameworks, including Hadoop and Spark
• Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP

Who This Book Is For
Data scientists and software developers interested in the field of data analytics.

Sayan Mukhopadhyay in his 13+ years industry experience has been associated with companies such as Credit-Suisse, PayPal, CA Technology, CSC, and Mphasis. He has a deep understanding of the applications of data analysis in domains such as investment banking, online payments, online advertising, IT infrastructure, and retail. His area of expertise is applied high-performance computing in distributed and data-driven environments such as real-time analysis and high-frequency trading.

• Introduction

Pages 1-22

• ETL with Python (Structured Data)

Pages 23-48

• Supervised Learning Using Python

Pages 49-76

• Unsupervised Learning: Clustering

Pages 77-98

• Deep Learning and Neural Networks

Pages 99-119

eBook $34.99 price for USA • ISBN 978-1-4842-3450-1 • Digitally watermarked, DRM-free • Included format: PDF, EPUB • Immediate eBook download after purchase and usable on all devices • Bulk discounts available Softcover$44.99
price for USA

Bibliographic Information

Bibliographic Information
Book Title
Book Subtitle
With Machine Learning, Deep Learning and NLP Examples
Authors
2018
Publisher
Apress
Distribution Rights
Apress Standard Distribution
eBook ISBN
978-1-4842-3450-1
DOI
10.1007/978-1-4842-3450-1
Softcover ISBN
978-1-4842-3449-5
Edition Number
1
Number of Pages
XV, 186
Number of Illustrations
18 b/w illustrations
Topics