Industrial Machine Learning : Using Artificial Intelligence as a Transformational Disruptor /

Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills...

Full description

Bibliographic Details
Main Author:	Vermeulen, Andreas François (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Berkeley, CA : Apress : Imprint: Apress, 2020.
Edition:	1st ed. 2020.
Subjects:	Artificial intelligence. Big data. Artificial Intelligence. Big Data. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1: Introduction
Chapter 2: Background Knowledge
Chapter 3: Classic Machine Learning
Chapter 4: Supervised Learning: Using labeled data for Insights
Chapter 5: Supervised Learning: Advanced Algorithms
Chapter 6: Unsupervised Learning: Using Unlabeled Data
Chapter 7: Unsupervised Learning: Neural Network Toolkits
Chapter 8: Unsupervised Learning: Deep Learning
Chapter 9: Reinforcement Learning: Using Newly Gained Knowledge for Insights
Chapter 10: Evolutionary Computing
Chapter 11: Mechatronics
Chapter 12: Robotics Revolution
Chapter 13: Fourth Industrial Revolution (4IR )
Chapter 14: Industrialized Artificial Intelligence
Chapter 15: Final Industrialization Project
Appendix: Reference Material
.