A use case on Logistic regression training Over the last few years there are several efforts for more powerful computing platforms to face the challenges imposed by emerg...
One of the biggest threats to our world economy (outside of climate change, social inequality, unregulated proliferation of weapons and the rise of Terminators), is the r...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Summary: Recurrent Neural Nets (RNNs) are at the core of the most common AI applications in use today but we are rapidly recognizing broad time series problem types where...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
The key to perform any text mining operation, such as topic detection or sentiment analysis, is to transform words into numbers, sequences of words into sequences of numb...
For one- or two-semester business statistics courses. Not a new book, but a popular one (8th edition.) This text is the gold standard for learning how to use Excel in b...
Introduction Are you looking to learn python for data science but have a time crunch? Are you making your career shift into data science and want to learn python? In this...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...