Category: Data Science

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

Author: Manu Jeevan Deploying machine learning models is hard. This article explains the complexity behind deploying machine learning models into production, its ongoing maintenance, iterative […] Read More

Author: Dan Clark This extensive post covers NLP use cases, basic examples, Tokenization, Stop Words Removal, Stemming, Lemmatization, Topic Modeling, the future of NLP, and […] Read More

Author: Capri Granville A free online version of the second edition of the book based on Stat 110, Introduction to Probability by Joe Blitzstein and Jessica Hwang, is […] Read More

Author: Manu Jeevan Also: The Data Fabric for Machine Learning; 10 Free Must-Read Books for ML and Data Science; Another 10 Free Must-See Courses for […] Read More

Author: Matt Mayo Editor Seeking an engineer for the Core Services Platform team, which designs and builds best of breed systems for dealing with our […] Read More