Author: Capri Granville This book, initially written for chemical engineers, is actually very interesting for data scientists and machine learning engineers alike. For more free […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Gregory PS Editor The biggest (and anecdotally best) data engineering and analytics conference in the CEE region, is back! Practical Data Engineering and Data […] Read More
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Author: Vincent Granville I read an article this morning, about a top Cornell food researcher having 13 studies retracted, see here. It prompted me to write […] Read More
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Author: Matt Mayo Editor Register now for upcoming webinar, Building a Machine Learning Fraud Model with Momentum Travel, on Sep 27 @ 10 AM PT. […] Read More
Author: Burak Himmetoglu Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true even today […] Read More
Author: Jason Brownlee Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined […] Read More
Author: Kris Brewer | Center for Brains, Minds and Machines When we open our eyes in the morning and take in that first scene of […] Read More
Author: Gregory PS Editor Also: You Aren’t So Smart: Cognitive Biases are Making Sure of It; 6 Books Every Data Scientist Should Keep Nearby. Go […] Read More