Handbook of Artificial Intelligence
eBook - ePub

Handbook of Artificial Intelligence

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Handbook of Artificial Intelligence

About this book

Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context. Audience Students and instructors in artificial intelligence, data science, engineering and computer science courses

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Yes, you can access Handbook of Artificial Intelligence by Dumpala Shanthi,B. Madhuravani,Ashwani Kumar, Dumpala Shanthi, B. Madhuravani, Ashwani Kumar in PDF and/or ePUB format, as well as other popular books in Informatica & Intelligenza artificiale (IA) e semantica. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. PREFACE
  6. List of Contributors
  7. Machine Learning Techniques and their Applications: Survey
  8. Applications of Machine Learning
  9. Prediction using Machine Learning
  10. Machine Learning Algorithms for Health Care Data Analytics Handling Imbalanced Datasets
  11. AI for Crop Improvement
  12. Real-Time Object Detection and Localization for Autonomous Driving
  13. Machine Learning Techniques in Image Segmentation
  14. Optimal Page Ranking Technique for Webpage Personalization Using Semantic Classifier
  15. Text Analytics
  16. Human Activity Recognition System Using Smartphone
  17. Smart Water Bottle with Smart Technology
  18. Real World Applications of Machine Learning in Health Care
  19. Investigating and Identifying Fraudulent Behaviors of Medical Claims Data Using Machine Learning Algorithms
  20. Security Threats and Detection Mechanisms in Machine Learning