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...

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Bibliographic Details
Main Author Vermeulen, Andreas François (Author)
Format Electronic eBook
LanguageEnglish
Published New York : Apress, [2020]
Subjects
Online AccessFull text
ISBN9781484253168
1484253167
9781484253175
1484253175
9781484253151
1484253159
Physical Description1 online resource : illustrations

Cover

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