Yazar: Wee Hyong Tok

Destek
Valentine Fontama is a Principal Data Scientist in the Data and Decision Sciences Group (DDSG) at Microsoft, where he leads external consulting engagements that deliver world-class Advanced Analytics solutions to Microsoft’s customers. Val has over 18 years of experience in data science and business. Following a Ph D in Artificial Neural Networks, he applied data mining in the environmental science and credit industries. Before Microsoft, Val was a New Technology Consultant at Equifax in London where he pioneered the application of data mining to risk assessment and marketing in the consumer credit industry. He is currently an Affiliate Professor of Data Science at the University of Washington. In his prior role at Microsoft, Val was a Senior Product Marketing Manager responsible for big data and predictive analytics in cloud and enterprise marketing. In this role, he led product management for Microsoft Azure Machine Learning; HDInsight, the first Hadoop service from Microsoft; Parallel Data Warehouse, Microsoft’s first data warehouse appliance; and three releases of Fast Track Data Warehouse. He also played a key role in defining Microsoft’s strategy and positioning for in-memory computing.Val holds an M.B.A. in Strategic Management and Marketing from Wharton Business School, a Ph.D. in Neural Networks, a M.Sc. in Computing, and a B.Sc. in Mathematics and Electronics (with First Class Honors). He co-authored the book Introducing Microsoft Azure HDInsight, and has published 11 academic papers with 152 citations by over 227 authors.




7 Ebooks tarafından Wee Hyong Tok

Valentine Fontama & Roger Barga: Predictive Analytics with Microsoft Azure Machine Learning
Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is no …
PDF
İngilizce
€46.99
Valentine Fontama & Roger Barga: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition
Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deployi …
PDF
İngilizce
€79.99
Mathew Salvaris & Danielle Dean: Deep Learning with Azure
Get up-to-speed with Microsoft’s AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. …
PDF
İngilizce
€66.99
Deepak Mukunthu & Parashar Shah: Practical Automated Machine Learning on Azure
Develop smart applications without spending days and weeks building machine-learning models. With this practical book, youll learn how to apply automated machine learning (Auto ML), a process that …
EPUB
İngilizce
DRM
€52.37
Deepak Mukunthu & Parashar Shah: Practical Automated Machine Learning on Azure
Develop smart applications without spending days and weeks building machine-learning models. With this practical book, youll learn how to apply automated machine learning (Auto ML), a process that …
PDF
İngilizce
DRM
€52.50
Amit Bahree & Senja Filipi: Practical Weak Supervision
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies …
EPUB
İngilizce
DRM
€52.50
Amit Bahree & Senja Filipi: Practical Weak Supervision
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies …
PDF
İngilizce
DRM
€52.48