Description
. 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.
ISBN 13 | |
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ISBN 10 | |
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Weight | 300.00 g |
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Save | ₹39.8 (20% Off) |
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Categories | Computer Science Engineering, Emerging Technologies |
Condition Type | New |
Country Origin | India |
In stock
. 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.
Chapter 1: Introduction to Machine Learning.
Chapter 2: Regression.
Chapter 3: Classification.
Chapter 4: Cluster Analysis.
Chapter 5: Advance 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.
Jeeva Jose
Dr. Jeeva Jose completed Ph. D. in Computer Science from Mahatma Gandhi University, Kerala, India and is a faculty member at BPC College, Kerala. Her passion is teaching and areas of interests include world wide web, Data Mining and Cyber laws. She has been in higher education for the last 15 years and has completed three research projects funded by UGC and KSCSTE. She has published more than twenty research papers in various refereed journals and conference proceedings. She has edited three books and has given many invited talks in various conferences. She is a recipient of ACM-W Scholarship provided by Association for Computing Machinery, New York.
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Buy now. 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.
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Buy nowEvery effort has been made to supply complete and accurate information. However, the publishers and the author assume no responsibility for its use, for any infringement of the intellectual property rights of third parties, errors or omissions. Nor is any liability assumed for damages resulting out of the information contained herein.
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