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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Machine Learning Posted onOctober 13, 2019

A Gentle Introduction to Information Entropy

Author: Jason Brownlee Information theory is a subfield of mathematics concerned with transmitting data across a noisy channel. A cornerstone of information theory is the […] Read More

Data Science Posted onOctober 12, 2019

Upcoming Webinar, Machine Learning Vital Signs: Metrics and Monitoring Models in Production

Author: Matt Mayo Editor In this upcoming webinar on Oct 23 @ 10 AM PT, learn why you should invest time in monitoring your machine […] Read More

Data Science Posted onOctober 12, 2019

GIF Image Featuring a Beautiful Visualization

Author: Capri Granville Interesting GIF visualization. We do not endorse any political opinion, and the picture below is provided only for its visual value, not […] Read More

Machine Learning Posted onOctober 11, 2019

Faster video recognition for the smartphone era

Author: Kim Martineau | MIT Quest for Intelligence A branch of machine learning called deep learning has helped computers surpass humans at well-defined visual tasks […] Read More

Machine Learning Posted onOctober 11, 2019

TerraTalk is changing how Japan’s students learn English

Author: With increasing classroom sizes, more paperwork than ever and new mandates from the ministry of education, Japanese teachers face an uphill battle in their […] Read More

Machine Learning Posted onOctober 11, 2019

The Ultimate Learning Machines – The Wall Street Journal

Author: The Ultimate Learning Machines  The Wall Street Journal Go to Source

Data Science Posted onOctober 11, 2019

An ODSC West Guide to the Most Important Topics in Data Science Right Now

Author: Matt Mayo Editor In this article, we’ll outline just a few of the most important topics in data science that our speakers will be […] Read More

Machine Learning Posted onOctober 10, 2019

A Gentle Introduction to Bayesian Belief Networks

Author: Jason Brownlee Probabilistic models can define relationships between variables and be used to calculate probabilities. For example, fully conditional models may require an enormous […] Read More

Machine Learning Posted onOctober 10, 2019

Rise Of Machine Learning: Lessons From Google And Facebook – Forbes

Author: Rise Of Machine Learning: Lessons From Google And Facebook  Forbes Go to Source

Uncategorized Posted onOctober 10, 2019

Top KDnuggets tweets, Oct 02-08: Turn #Python Scripts into Beautiful ML Tools – with Streamlit, an app framework built for #MachineLearning engineers

Author: Gregory PS Editor Also: 12 things I wish I’d known before starting as a Data Scientist; 10 Free Top Notch Natural Language Processing Courses; […] Read More

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