Machine Learning and Data Science
Fundamentals and Applications
- English
- PDF
- Available on iOS & Android
Machine Learning and Data Science
Fundamentals and Applications
About this book
MACHINE LEARNING AND DATA SCIENCE
Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia.
Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms.
These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.
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Information
Table of contents
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Contents
- Preface
- Book Description
- 1 Machine Learning: An Introduction to Reinforcement Learning
- 2 Data Analysis Using Machine Learning: An Experimental Study on UFC
- 3 Dawn of Big Data with Hadoop and Machine Learning
- 4 Industry 4.0: Smart Manufacturing in Industries The Future
- 5 COVID-19 Curve Exploration Using Time Series Data for India
- 6 A Case Study on Cluster Based Application Mapping Method for Power Optimization in 2D NoC
- 7 Healthcare Case Study: COVID19 Detection, Prevention Measures, and Prediction Using Machine Learning & Deep Learning Algorithms
- 8 Analysis and Impact of Climatic Conditions on COVID-19 Using Machine Learning
- 9 Application of Hadoop in Data Science
- 10 Networking Technologies and Challenges for Green IOT Applications in Urban Climate
- 11 Analysis of Human Activity Recognition Algorithms Using Trimmed Video Datasets
- 12 Solving Direction Sense Based Reasoning Problems Using Natural Language Processing
- 13 Drowsiness Detection Using Digital Image Processing
- Index
- Also of Interest
- EULA