Category: Data Science

Author: William Vorhies Summary:  Real Time Computer Vision (RTCV) that requires processing video DNNs at the edge is likely to be the next killer app […] Read More

Author: Manu Jeevan Also: The 3 Biggest Mistakes on Learning Data Science; A gallery of interesting Jupyter Notebooks; How do you teach physics to machine […] Read More

Author: ajit jaokar After testing this idea for the last few months, we have formally launched this concept   The idea of ‘Data Science Coding […] Read More

Author: Matt Mayo Editor Don’t miss Canada’s #1 data, AI and analytics conference + expo. From solving your data-driven business challenges to helping you navigate […] Read More

Author: Vincent Granville Here is a simple trick that can solve a lot of problems. You can not trust a linear or logistic regression performed […] Read More

Author: Manu Jeevan Building a Computer Vision Model: Approaches and datasets; Your Guide to Natural Language Processing (NLP); Analyzing Tweets with NLP in Minutes with […] Read More

Author: Vincent Granville This simple introduction to matrix theory offers a refreshing perspective on the subject. Using a basic concept that leads to a simple […] Read More

Author: /u/AutoModerator Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: ajit jaokar Azure Machine Learning concepts – an Introduction Introduction Last week, we launched a free book called Classification and Regression in a weekend. […] Read More

Author: Bill Schmarzo Digital capabilities leverage customer, product and operational insights to digitally transform business models.  And nowhere is this more evident than the rush […] Read More