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OverviewFull Product DetailsAuthor: Sebastian MauricePublisher: APress Imprint: APress Edition: 1st ed. Weight: 0.559kg ISBN: 9781484270226ISBN 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 ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 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.ReviewsAuthor InformationSebastian 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. Tab Content 6Author Website:Countries AvailableAll regions |