Web-Based Machine Learning Analytics System in Big-Data: INTEGRATING PYTHON, TENSORFLOW, DJANGO, HTML, JAVASCRIPT, AND CASSANDRA - Softcover
Synopsis
This book is dedicated to people who have the aspiration to build their own analytics system with the capability of interactive user interface, machine learning, and in NOSQL database. This book provides detailed guidance and code examples to implement a web-based interactive applications and machine learning system through seamless integration of Django, Tensorflow, Keras, HTML, Javascript, CSS, and Cassandra. There are four parts in this book. Foundations provides fundamental knowledge to understand the basic elements of each part to be integrated as a system. Application development introduces how to build an interactive web application, the machine learning libraries, and how to build machine learning applications. Big-Data database integration introduces Cassandra and how to integrate Cassandra into Django applications. Responsive Web-based analytics application provides real code examples how to develop applications for data modeling, investment dashboard with responsive charts, and interactive Convolution Neural Network application. Foundations Chapter 1: Python Basics Chapter 2: Machine Learning using Tensorflow and Keras Chapter 3: HTML, CSS, and Javascript Chapter 4: Django Framework Application Development Chapter 5: Interactive Web Application Chapter 6: Integrate Machine Learning Libraries and Build Applications Big-Data Database Integration Chapter 7: Cassandra Introduction and Installation Chapter 8: Integrating Cassandra with Django Responsive Web-Based Analytics Applications Chapter 9: Data Modeling Chapter 10: Investment Dashboard and Responsive Charts Chapter 11: Interactive Convolution Neural Network Application Chapter 12: Summary
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Web-Based Machine Learning Analytics System in Big-Data: INTEGRATING PYTHON, TENSORFLOW, DJANGO, HTML, JAVASCRIPT, AND CASSANDRA
Published by
Independently published, 2018
ISBN 10: 1718120052
ISBN 13: 9781718120051
Used
Paperback
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1718120052I4N00