Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python

Author:   Sebastian Maurice
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484270226


Pages:   276
Publication Date:   20 May 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python


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Author:   Sebastian Maurice
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.559kg
ISBN:  

9781484270226


ISBN 10:   1484270223
Pages:   276
Publication Date:   20 May 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:  Introduction: Big data, Auto Machine Learning and Data Streams Chapter 2: Transactional Machine Learning Chapter 3: Industry Challenges with Data Streams and AutoML Chapter 4: The Business Value of Transactional Machine Learning Chapter 5: The Technical Components and Architecture for Transactional Machine Learning Overview of a TML Solution Chapter 6: Template for Transactional Machine Learning Solutions CHAPTER 7: Visualize Your TML Model Insights: Optimization, Predictions and Anomalies Chapter 8: Evolution and Opportunities For Transactional Machine Learning in Almost Every Industry Chapter 9: Conclusion and Final Thoughts.

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Author Information

Sebastian Maurice is founder and CTO of OTICS Advanced Analytics Inc. and has over 25 years of experience in AI and machine learning.  Previously, Sebastian served as Associate Director within Gartner Consulting focusing on artificial intelligence and machine learning. He was instrumental in developing and growing Gartner’s AI consulting business. He has led global teams to solve critical business problems with machine learning in oil and gas, retail, utilities, manufacturing, finance, and insurance. Dr. Maurice also brings deep experience in oil and gas (upstream) and was one of the first in Canada to apply machine learning to oil production optimization, which resulted in a Canadian patent: #2864265.    Sebastian is also a published author with seven publications in international peer-reviewed journals and books. One of his publications (International Journal of Engineering Education, 2004) was cited as landmark work in the area of online testing technology. He also developed the world’s first Apache Kafka connector for transactional machine learning: MAADS-VIPER. Dr. Maurice received his PhD in electrical and computer engineering from the University of Calgary, and has a master’s in electrical engineering, and a master’s in agricultural economics, with bachelors in pure mathematics and bachelors (hon) in economics.   Dr. Maurice also teaches a course on data science at the University of Toronto and actively helps to develop AI course content at the University of Toronto.  He is also active in the AI community and an avid blogger and speaker.  He also sits on the AI advisory board at McMaster University.

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