Machine Learning Quick Reference
Quick and essential machine learning hacks for training smart data models
Published on 23. September 2024
294 pages
978-1-78883-161-1 (ISBN)
Description
No detailed description available for "Machine Learning Quick Reference".
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Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
18,96 MB
ISBN-13
978-1-78883-161-1 (9781788831611)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Rahul Kumar
Machine Learning Quick Reference
Quick and essential machine learning hacks for training smart data models
Book
01/2019
Packt Publishing
€40.10
Shipment within 3-4 weeks
Person
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.
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.
Content
Table of Contents
Quantifying Learning Algorithms
Evaluating Kernel Learning
Performance in Ensemble Learning
Training Neural Networks
Time-Series Analysis
Natural Language Processing
Temporal and Sequential Pattern Discovery
Probabilistic Graphical Models
Selected Topics in Deep Learning
Causal Inference
Advanced Methods
Quantifying Learning Algorithms
Evaluating Kernel Learning
Performance in Ensemble Learning
Training Neural Networks
Time-Series Analysis
Natural Language Processing
Temporal and Sequential Pattern Discovery
Probabilistic Graphical Models
Selected Topics in Deep Learning
Causal Inference
Advanced Methods
