Selected Recent Articles from Top DSC Contributors – Part 3
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
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One important overlooked point here is that significant value
In the article, Data Science Should Monitor Big Brother by Arjan Haring, one important overlooked point here is that significant value, even from the point of view o...
7 Books About Machine Learning, Statistics, and Python
This is part of a book series by Pakt Publishing. The first book is entitled Statistics for Machine Learning and described below. Book Description Complex statistics in M...
7 Visualizations You Should Learn in R
This article was posted by Dikesh Jariwala on R Bloggers. With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualizati...
7 Great Articles About TensorFlow
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Unfolding Naïve Bayes from Scratch
This article was written by Aisha Javed. Below is a summary and table of content, for this long tutorial. Whether you are a beginner in Machine Learning or you have been...
AI-Driven Transformation & the Impact on Marketing
Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, ...
The Most Popular Language For Machine Learning Is …
This article was written by Jean Francois Puget. What programming language should one learn to get a machine learning or data science job? That’s the silver bu...
Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP Predictions
Summary: Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged. Temporal Convolutional Nets (...
Extreme Event Forecasting at Uber – with Recurrent Neural Networks
This article is by Nikolay Laptev, Slawek Smyl, and Santhosh Shanmugam. At Uber, event forecasting enables us to future-proof our services based on anticipated user dema...