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.
11764 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 | 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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Salient Features of The Book 1. Covers complete AICTE syllabus of IoT-04 minor degree course-Embedded systems for IoT. 2. Each Chapter is provided with objective questions with answers and review questions 3. The full form of the explanation of the abbreviations used are given in each chapter. 4. Meets the requirements of India's National Education Policy 2020 (...
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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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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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In today's interconnected digital landscape, the threat from malicious software is a constant and rapidly evolving challenge, capable of inflicting significant harm on individuals and organizations. MALWARE ANALYSIS is an essential guide crafted to provide a comprehensive foundation for cybersecurity specialization in both malware analysis and Operating System (OS) security. It...
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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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Introduction to the software engineering milieu. Describe the software engineering Paradigms. Deals with planning and estimation. Describe the re engineering process. Deals with object oriented metrics. Describes the object-oriented analysis and design. Detailed explanation of software agents.
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