Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry

Deep Neuro-Fuzzy Systems with Python

Chapter 1: Introduction to Fuzzy Set Theory

Chapter 2: Fuzzy Rules and Reasoning

Chapter 3: Fuzzy Inference Systems

Chapter 4: Introduction to Machine Learning

Chapter 5: Artificial Neural Networks

Chapter 6: Fuzzy Neural Networks

Chapter 7: Advanced Fuzzy Networks

Author: Himanshu Singh, Yunis Ahmad Lone
Publisher: Apress
Published: 12/01/2019
Pages: 260
Binding Type: Paperback
Weight: 0.87lbs
Size: 9.21h x 6.14w x 0.58d
ISBN13: 9781484253601
ISBN10: 1484253604
BISAC Categories:
- Computers | Artificial Intelligence | General
- Computers | Languages | Python
- Computers | Programming | Open Source

About the Author
Himanshu Singh is currently a Consultant to Artificial Intelligence for ADP Inc. with over 5 years of experience in the AI industry, primarily in Computer Vision and Natural Language Processing. Himanshu has authored three books on Machine Learning. He has an MBA from Narsee Monjee Institute of Management Studies, and a postgraduate diploma in Applied Statistics.

Yunis Ahmad Lone has over 22 years of experience in the IT industry, has been involved with Machine Learning for 10 years. Currently, Yunis is a PhD researcher at Trinity College, Dublin, Ireland. Yunis completed his Bachelors and Masters both from BITS Pilani, and worked on various leadership positions in MNCs like Tata Consultancy Services, Deloitte, and Fidelity Investments.