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Produktbild: Machine Learning and Data Science

Machine Learning and Data Science Fundamentals and Applications

206,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.08.2022

Herausgeber

Prateek Agrawal + weitere

Verlag

John Wiley & Sons

Seitenzahl

272

Maße (L/B/H)

23,1/15,2/2 cm

Gewicht

499 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-77561-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

09.08.2022

Herausgeber

Verlag

John Wiley & Sons

Seitenzahl

272

Maße (L/B/H)

23,1/15,2/2 cm

Gewicht

499 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-77561-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Machine Learning and Data Science

  • Preface xiii

    Book Description xv

    1 Machine Learning: An Introduction to Reinforcement Learning 1
    Sheikh Amir Fayaz, Dr. S Jahangeer Sidiq, Dr. Majid Zaman and Dr. Muheet Ahmed Butt

    1.1 Introduction 2

    1.2 Reinforcement Learning Paradigm: Characteristics 11

    1.3 Reinforcement Learning Problem 12

    1.4 Applications of Reinforcement Learning 15

    2 Data Analysis Using Machine Learning: An Experimental Study on UFC 23
    Prashant Varshney, Charu Gupta, Palak Girdhar, Anand Mohan, Prateek Agrawal and Vishu Madaan

    2.1 Introduction 23

    2.2 Proposed Methodology 25

    2.3 Experimental Evaluation and Visualization 31

    2.4 Conclusion 44

    3 Dawn of Big Data with Hadoop and Machine Learning 47
    Balraj Singh and Harsh Kumar Verma

    3.1 Introduction 48

    3.2 Big Data 48

    3.3 Machine Learning 53

    3.4 Hadoop 55

    3.5 Studies Representing Applications of Machine Learning Techniques with Hadoop 57

    3.6 Conclusion 61

    4 Industry 4.0: Smart Manufacturing in Industries -- The Future 67
    Dr. K. Bhavana Raj

    4.1 Introduction 67

    5 COVID-19 Curve Exploration Using Time Series Data for India 75
    Apeksha Rustagi, Divyata, Deepali Virmani, Ashok Kumar, Charu Gupta, Prateek Agrawal and Vishu Madaan

    5.1 Introduction 76

    5.2 Materials Methods 77

    5.3 Concl usion and Future Work 86

    6 A Case Study on Cluster Based Application Mapping Method for Power Optimization in 2D NoC 89
    Aravindhan Alagarsamy and Sundarakannan Mahilmaran

    6.1 Introduction 90

    6.2 Concept Graph Theory and NOC 91

    6.3 Related Work 94

    6.4 Proposed Methodology 97

    6.5 Experimental Results and Discussion 100

    6.6 Conclusion 105

    7 Healthcare Case Study: COVID-19 Detection, Prevention Measures, and Prediction Using Machine Learning & Deep Learning Algorithms 109
    Devesh Kumar Srivastava, Mansi Chouhan and Amit Kumar Sharma

    7.1 Introduction 110

    7.2 Literature Review 111

    7.3 Coronavirus (Covid19) 112

    7.4 Proposed Working Model 118

    7.5 Experimental Evaluation 130

    7.6 Conclusion and Future Work 132

    8 Analysis and Impact of Climatic Conditions on COVID-19 Using Machine Learning 135
    Prasenjit Das, Shaily Jain, Shankar Shambhu and Chetan Sharma

    8.1 Introduction 136

    8.2 COVID-19 138

    8.3 Experimental Setup 141

    8.4 Proposed Methodology 142

    8.5 Results Discussion 143

    8.6 Conclusion and Future Work 143

    9 Application of Hadoop in Data Science 147
    Balraj Singh and Harsh K. Verma

    9.1 Introduction 148

    9.2 Hadoop Distributed Processing 153

    9.3 Using Hadoop with Data Science 160

    9.4 Conclusion 164

    10 Networking Technologies and Challenges for Green IOT Applications in Urban Climate 169
    Saikat Samanta, Achyuth Sarkar and Aditi Sharma

    10.1 Introduction 170

    10.2 Background 170

    10.3 Green Internet of Things 173

    10.4 Different Energy--Efficient Implementation of Green IOT 177

    10.5 Recycling Principal for Green IOT 178

    10.6 Green IOT Architecture of Urban Climate 179

    10.7 Challenges of Green IOT in Urban Climate 181

    10.8 Discussion & Future Research Directions 181

    10.9 Conclusion 182

    11 Analysis of Human Activity Recognition Algorithms Using Trimmed Video Datasets 185
    Disha G. Deotale, Madhushi Verma, P. Suresh, Divya Srivastava, Manish Kumar and Sunil Kumar Jangir

    11.1 Introduction 186

    11.2 Contributions in the Field of Activity Recognition from Video Sequences 190

    11.3 Conclusion 212

    12 Solving Direction Sense Based Reasoning Problems Using Natural Language Processing 215
    Vishu Madaan, Komal Sood, Prateek Agrawal, Ashok Kumar, Charu Gupta, Anand Sharma and Awadhesh Kumar Shukla

    12.1 Introduction 216

    12.2 Methodology 217

    12.3 Description of Position 222

    12.4 Results and Discussion 224

    12.5 Graphical User Interface 225

    13 Drowsiness Detection Using Digital Image Processing 231
    G. Ramesh Babu, Chinthagada Naveen Kumar and Maradana Harish

    13.1 Introduction 231

    13.2 Literature Review 232

    13.3 Proposed System 233

    13.4 The Dataset 234

    13.5 Working Principle 235

    13.6 Convolutional Neural Networks 239

    13.6.1 CNN Design for Decisive State of the Eye 239

    13.7 Performance Evaluation 240

    13.8 Conclusion 242

    References 242

    Index 245