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.
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| Weight | 300.00 g |
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| Save | ₹62 (25% Off) |
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| Categories | Emerging Technologies, Computer Science Engineering |
| 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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. 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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My Book of Database Management System” is a complete and structured guide to the principles and applications of DBMS, designed for a wide audience—from undergraduate students to professionals preparing for GATE, IT MNC interviews, and real-world data system design. This book provides a deep, yet accessible exploration of database theory, architectures, query languages, t...
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