Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Examples /

• Main Author: Mukhopadhyay, Sayan (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Edition: 1st ed. 2018.
• Subjects: Python (Computer program language).; Big data.; Open source software.; Computer programming.; Python.; Big Data.; Open Source.

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 tradin...

Table of Contents:

• 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.