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Home > Computing and Information Technology Books > Computer Science Books > Artificial intelligence > Machine learning > Machine Learning Quick Reference: Quick and essential machine learning hacks for training smart data models
Machine Learning Quick Reference: Quick and essential machine learning hacks for training smart data models

Machine Learning Quick Reference: Quick and essential machine learning hacks for training smart data models


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About the Book

No detailed description available for "Machine Learning Quick Reference".

Table of Contents:
Table of Contents

  1. Quantifying Learning Algorithms
  2. Evaluating Kernel Learning
  3. Performance in Ensemble Learning
  4. Training Neural Networks
  5. Time-Series Analysis
  6. Natural Language Processing
  7. Temporal and Sequential Pattern Discovery
  8. Probabilistic Graphical Models
  9. Selected Topics in Deep Learning
  10. Causal Inference
  11. Advanced Methods


About the Author :
Kumar Rahul :

Rahul Kumar has got more than 10 years of experience in the space of Data Science and Artificial Intelligence. His expertise lies in the machine learning and deep learning arena. He is known to be a seasoned professional in the area of Business Consulting and Business Problem Solving, fuelled by his proficiency in machine learning and deep learning. He has been associated with organizations such as Mercedes-Benz Research and Development (India), Fidelity Investments, Royal Bank of Scotland among others. He has accumulated a diverse exposure through industries like BFSI, telecom and automobile. Rahul has also got papers published in IIM and IISc Journals.


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Product Details
  • ISBN-13: 9781788831611
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Edition: Digital original
  • No of Pages: 294
  • Sub Title: Quick and essential machine learning hacks for training smart data models
  • ISBN-10: 1788831616
  • Publisher Date: 23 Sep 2024
  • Binding: Digital (delivered electronically)
  • Language: English
  • No of Pages: 294


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