Description
Salient features of this book:
AICTE recommended book for Indian Universities and Autonomous colleges.
- This book can be used as a self study material or for instructor assisted teaching.
- Frequent questions for interviews and examinations are provided.
Topics Covered in this Book
Chapter 1. Introduction to Machine Learning
Chapter 2. Regression
Chapter 3. Classification
Chapter 4. Cluster Analysis
Chapter 5. Advanced Multivariate Analysis
Chapter 6. Semi-supervised, Reinforcement & Active Learning
Chapter 7. Deep Learning
Chapter 8. Introduction to TensorFlow
Chapter 9. Regression using TensorFlow
Chapter 10. Artificial Neural Networks using TensorFlow
Table of Contents
Chapter 1. Introduction to Machine Learning
Chapter 2. Regression
Chapter 3. Classification
Chapter 4. Cluster Analysis
Chapter 5. Advanced Multivariate Analysis
Chapter 6. Semi-supervised, Reinforcement & Active Learning
Chapter 7. Deep Learning
Chapter 8. Introduction to TensorFlow
Chapter 9. Regression using TensorFlow
Chapter 10. Artificial Neural Networks using TensorFlow
Author
Dr. Jeeva Jose is a well known academician, software trainer and author of many books including the popular books on Python Programming, R Programming, Internet of Things etc. She is in higher education teaching for the last 20 years. During this period, she has completed three research projects funded by UGC and KSCSTE. The area in which she is working is World Wide Web, Data Mining, Cyber laws and Python Programming. She is a recipient of ACM-W Scholarship provided by Association for Computing Machinery, New York for young women research scholars from developing countries. She has published more than twenty research papers in various refereed journals and conference proceedings.
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