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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Machine Learning Posted onOctober 6, 2019

Google causing more facial recognition problems, machine learning goes quantum and losing a job if an AI doesn’t like your face – The Register

Author: Google causing more facial recognition problems, machine learning goes quantum and losing a job if an AI doesn’t like your face  The Register Go to […] Read More

Data Science Posted onOctober 6, 2019

Free Book: Getting Started with TensorFlow 2.0

Author: Vincent Granville By Amita Kapoor and Ajit Jaokar. In this book, we introduce coding with tensorflow 2.0. We show how to develop with tensorflow […] Read More

Machine Learning Posted onOctober 6, 2019

Want a Really Hard Machine Learning Problem? Try Agriculture, Says John Deere Labs – IEEE Spectrum

Author: Want a Really Hard Machine Learning Problem? Try Agriculture, Says John Deere Labs  IEEE Spectrum Go to Source

Data Science Posted onOctober 5, 2019

Overcoming Deep Learning Stumbling Blocks

Author: mtdearing Find out what was presented at the 6th annual Deep Learning Summit in London where industry leaders, academics, researchers, and innovative startups presenting […] Read More

Machine Learning Posted onOctober 4, 2019

Driving better patient engagement outcomes with AI & machine learning – Becker’s Hospital Review

Author: Driving better patient engagement outcomes with AI & machine learning  Becker’s Hospital Review Go to Source

Data Science Posted onOctober 4, 2019

6 Must See Deep Learning Experts at ODSC West 2019 – 20% Off Ends Friday

Author: Matt Mayo Editor You won’t want to miss the opportunity to learn about the future of deep learning first-hand at ODSC West in San […] Read More

Data Science Posted onOctober 4, 2019

Free Book: A Comprehensive Guide to Machine Learning (Berkeley University)

Author: Capri Granville By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Dated June […] Read More

Machine Learning Posted onOctober 4, 2019

Causal Bayesian Networks: A flexible tool to enable fairer machine learning

Author: Go to Source

Machine Learning Posted onOctober 3, 2019

3 Questions: How artificial intelligence is supercharging materials science

Author: Denis Paiste | Materials Research Laboratory Machine learning and artificial intelligence are increasingly being used in materials science research. For example, MIT associate professor […] Read More

Machine Learning Posted onOctober 3, 2019

A Gentle Introduction to Bayes Theorem for Machine Learning

Author: Jason Brownlee Bayes Theorem provides a principled way for calculating a conditional probability. It is a deceptively simple calculation, although it can be used […] Read More

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