Author: Gregory PS Editor Join us for an educational series ModelOps – Get it done. Learn how a combination of technology and processes can help […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
Author: Do You Need To Be Good At Math To Excel At Machine Learning? Forbes Would people who are strong in math be good in machine […] Read More
Author: Sean Owen An Introduction to Bayesian Reasoning You might be using Bayesian techniques in your data science without knowing it! And if you’re not, […] Read More
Author: Matt Mayo Editor This IDC Solution Spotlight examines how automated machine learning tools can augment the analysis, modeling, and prediction of time series data […] Read More
Author: Jason Brownlee Deep learning neural networks learn a mapping function from inputs to outputs. This is achieved by updating the weights of the network […] Read More
Author: Making Machine Learning Adoptable for Clinicians InfoQ.com Dr. Alexander Scarlat explains the core tenants of machine learning in his 12-part series “Machine Learning Primer for […] Read More
Author: Vincent Granville Many of the following statistical tests are rarely discussed in textbooks or in college classes, much less in data camps. Yet they […] Read More
Author: Matt Mayo Editor Also: GitHub: Numpy and Scipy are the most popular packages for machine learning projects; The Best and Worst Data Visualizations of […] Read More
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Author: Anant Jain Introduction Deep Neural Networks are highly expressive machine learning networks that have been around for many decades. In 2012, with gains in […] Read More