Web-Based Machine Learning Analytics System in Big-Data: INTEGRATING PYTHON, TENSORFLOW, DJANGO, HTML, JAVASCRIPT, AND CASSANDRA

By Mingchu King PhD

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.FoundationsChapter 1: Python Basics Chapter 2: Machine Learning using Tensorflow and Keras Chapter 3: HTML, CSS, and Javascript Chapter 4: Django Framework Application DevelopmentChapter 5: Interactive Web Application Chapter 6: Integrate Machine Learning Libraries and Build Applications Big-Data Database IntegrationChapter 7: Cassandra Introduction and Installation Chapter 8: Integrating Cassandra with DjangoResponsive Web-Based Analytics Applications Chapter 9: Data Modeling Chapter 10: Investment Dashboard and Responsive Charts Chapter 11: Interactive Convolution Neural Network ApplicationChapter 12: Summary

• Format: Paperback
• Language: English
• ISBN: 1718120052
• ISBN13: 9781718120051
• Release Date: August 2018
• Publisher: Independently published
• Length: 257 Pages
• Weight: 1.11 lbs.
• Dimensions: 9.0" x 0.6" x 6.8"