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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| ISBN 10 | |
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| Weight | 300.00 g |
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| Save | ₹62 (25% Off) |
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| Categories | Computer Science Engineering, Emerging Technologies |
| Condition Type | New |
| Country Origin | India |
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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.
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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. 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 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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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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. 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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“ Engineering Graphics” is a compulsory paper for the first year Diploma course in Engineering & Technology. Syllabus of this book is strictly aligned as per model curriculum of AICTE, and academic content is amalgamated with the concept of outcome based education. Book covers six topics- Basic Elements of drawing , Orthographic Projections, Isometric Projections, ...
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India's Transport System has several deficiencies such as inadequate capacity, poor safety record, emission of pollutants and outmoded technology. But as the economy is poised for a big growth in the coming years transportation engineers will have to come up with innovative ideas. The book addresses these issues and it is hoped that the engineering students studying transpor...
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The book is designed in a very systematic, logical manner and illustrated with suitable examples and screen shots.A large number of unsolved as well as solved exercises have also been included. Diagrams , functions has been explained in full and some of them is explained in the form of examples.
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