Machine Learning Methods for Engineering Application Development
eBook - ePub

Machine Learning Methods for Engineering Application Development

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

Machine Learning Methods for Engineering Application Development

About this book

This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredevelopments and possibly new research areas of machine learning and artificialintelligence in general.Techniques highlighted in the book include: Bayesian models, supportvector machines, decision tree induction, regression analysis, and recurrent andconvolutional neural network. Finally, it also intends to be a reference book. Key Features: Describes real-world problems that can be solved using machine learningExplains methods for directly applying machine learning techniques to concrete real-world problemsExplains concepts used in Industry 4.0 platforms, including the use and integration of AI, ML, Big Data, NLP, and the Internet of Things (IoT). It does not require prior knowledge of the machine learning This book is meantto be an introduction to artificial intelligence (AI), machine earning, and itsapplications in Industry 4.0. It explains the basic mathematical principlesbut is intended to be understandable for readers who do not have a backgroundin advanced mathematics.

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Yes, you can access Machine Learning Methods for Engineering Application Development by Prasad Lokulwar,Basant Verma,N. Thillaiarasu, Prasad Lokulwar, Basant Verma, N. Thillaiarasu in PDF and/or ePUB format, as well as other popular books in Computer Science & Software Development. 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. FOREWORD
  6. PREFACE
  7. List of Contributors
  8. Cutting Edge Techniques of Adaptive Machine Learning for Image Processing and Computer Vision
  9. Algorithm For Intelligent Systems
  10. Clinical Decision Support System for Early Prediction of Congenital Heart Disease using Machine learning Techniques
  11. A Review on Covid-19 Pandemic and Role of Multilingual Information Retrieval and Machine Translation for Managing its Effect
  12. An Empirical View of Genetic Machine Learning based on Evolutionary Learning Computations
  13. High-Performance Computing for Satellite Image Processing Using Apache Spark
  14. Artificial Intelligence and Covid-19: A Practical Approach
  15. Intelligent Personalized E-Learning Platform using Machine Learning Algorithms
  16. Automated Systems using AI in the Internet of Robotic Things: A New Paradigm for Robotics
  17. Missing Value Imputation and Estimation Methods for Arrhythmia Feature Selection Classification Using Machine Learning Algorithms
  18. Analysis of Abstractive Text Summarization with Deep Learning Technique
  19. Advanced Topics in Machine Learning