Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models
Author:   Sayan Putatunda
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484268667


Pages:   118
Publication Date:   09 April 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models


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Author:   Sayan Putatunda
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.454kg
ISBN:  

9781484268667


ISBN 10:   1484268660
Pages:   118
Publication Date:   09 April 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1:  An Introduction to Streaming Data.- Chapter 2: Concept Drift Detection in Data Streams.- Chapter 3: Supervised Learning for Streaming Data.- Chapter 4: Unsupervised Learning and Other Tools for Data Stream Mining.

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Dr. Sayan Putatunda is an experienced data scientist and researcher. He holds a Ph.D. in Applied Statistics/ Machine Learning from the Indian Institute of Management, Ahmedabad (IIMA) where his research was on streaming data and its applications in the transportation industry. He has a rich experience of working in both senior individual contributor and managerial roles in the data science industry with multiple companies such as Amazon, VMware, Mu Sigma, and more. His research interests are in streaming data, deep learning, machine learning, spatial point processes, and directional statistics. As a researcher, he has multiple publications in top international peer-reviewed journals with reputed publishers. He has presented his work at various reputed international machine learning and statistics conferences. He is also a member of IEEE.

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