Industrial Machine Learning
Industrial Machine Learning
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Industrial Machine Learning by Andreas Vermeulen
Intermediate-Advanced user levelAndreas François Vermeulen is Chief Data Scientist and Solutions Delivery Manager at Sopra-Steria and he serves as part-time doctoral researcher and senior research project advisor at University of St. Andrews on future concepts in health care systems, Internet of Things (IoT) sensors, massive distributed computing, mechatronics, at-scale data lake technology, data science, business intelligence (BI), and deep machine learning in health informatics.
Andre maintains and incubates the Rapid Information Factory data processing framework. He is active in developing next-generation data processing frameworks and mechatronics engineering with over 36 years of global experience in complex data processing, software development, and system architecture. He is an expert data scientist, doctoral trainer, corporate consultant, and speaker/author/columnist on data science, business intelligence, machine learning, decision science, data engineering, distributed computing, and at-scale data lakes. He has expert-level industrial experience in various areas (finance, telecommunication, manufacturing, government service, public safety and health informatics). Andre received his bachelor's degree from North West University at Potchefstroom, his Master of Business Administration (MBA) at University of Manchester, his Master of Business Intelligence and Data Science degree at University of Dundee, and his Doctor of Philosophy at University of St. Andrews.| SKU | Unavailable |
| ISBN 13 | 9781484253151 |
| ISBN 10 | 1484253159 |
| Title | Industrial Machine Learning |
| Author | Andreas François Vermeulen |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | APress |
| Year published | 2019-12-01 |
| Number of pages | 637 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |