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.
11835 Views
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| ISBN 10 | |
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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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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 LearningChapter 2. RegressionChapter 3. Classificati...
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Salient Features of this book:- 1. Covers Complete AICTE syllabus of Internet of Things (IOT-O1) miner change degree course . 2. Provides introduction to IOT in a simple method. 3. Best self- study material and reference guide. 4. Explains the technologies & standards related to IOT. 5. IOT Ecosystem is discussed in detail. 6. Will help to develop skills ...
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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.
Buy now
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Machine Learning employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the sud-domains of machine learning, classification, cluster analysis, data mining, database, and visualization. Machine learning is perhaps the hottest thing in Silicon Valley right now, esp...
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Machine Learning and Machine Intelligence is a complete book to read and perform practical in computer labs. Just reading theory cannot make you perform the practical(s). The present book is the composition of both, for the convenience of the students. Many of the Degrees or Diplomas or Certification Programs are being conducted in Machine Learning and Machine Intelligence fiel...
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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 LearningChapter 2. RegressionChapter 3. Classificati...
Buy now
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