
Advanced Data Analytics Using Python
With Machine Learning, Deep Learning and NLP Examples
Sayan Mukhopadhyay(Author)
Apress
Published on 29. March 2018
Book
Paperback/Softback
XV, 186 pages
978-1-4842-3449-5 (ISBN)
Article exhausted; check for reprint
Description
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
Who This Book Is For
Data scientists and software developers interested in the field of data analytics.
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.
More details
Edition
1st ed.
Language
English
Place of publication
CA
United States
Target group
Professional and scholarly
Illustrations
18
18 s/w Abbildungen
XV, 186 p. 18 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
454 gr
ISBN-13
978-1-4842-3449-5 (9781484234495)
DOI
10.1007/978-1-4842-3450-1
Schweitzer Classification
Other editions
New editions

Sayan Mukhopadhyay | Pratip Samanta
Advanced Data Analytics Using Python
With Architectural Patterns, Text and Image Classification, and Optimization Techniques
Book
11/2022
2nd Edition
APress
€48.14
Shipment within 15-20 days
Additional editions

Sayan Mukhopadhyay
Advanced Data Analytics Using Python
With Machine Learning, Deep Learning and NLP Examples
E-Book
03/2018
APress
€66.99
Available for download
Person
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.
Content
Chapter 1: Introduction
Chapter 2: ETL with Python
Chapter 3: Supervised Learning with Python
Chapter 4: Unsupervised Learning with Python
Chapter 5: Deep Learning & Neural Networks
Chapter 6: Time Series Analysis
Chapter 7: Python in Emerging Technologies