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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Machine Learning Posted onOctober 17, 2019

Naive Bayes Classifier From Scratch in Python

Author: Jason Brownlee In this tutorial you are going to learn about the Naive Bayes algorithm including how it works and how to implement it […] Read More

Machine Learning Posted onOctober 17, 2019

Understanding Artificial Intelligence, Machine Learning, and Deep Learning – BBN Times

Author: Understanding Artificial Intelligence, Machine Learning, and Deep Learning  BBN Times Go to Source

Data Science Posted onOctober 17, 2019

Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post

Author: Matt Mayo Editor Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and […] Read More

Data Science Posted onOctober 17, 2019

Simulated Stock Market: Original Gaming App Played with Real Money

Author: Vincent Granville I wrote earlier in 2019 an article entitled New Stock Trading and Lottery Game Rooted in Deep Math, see here. It features […] Read More

Machine Learning Posted onOctober 16, 2019

AI and Machine Learning: Health Expert Stu Lipoff – The National Law Review

Author: AI and Machine Learning: Health Expert Stu Lipoff  The National Law Review Go to Source

Data Science Posted onOctober 16, 2019

Automated Data Governance 101

Author: Matt Mayo Editor The way we control our data isn’t working. Data is as vulnerable as ever. Download this white paper, which outlines lessons […] Read More

Data Science Posted onOctober 16, 2019

Does Your Hypothesis Development Canvas Tell a Story?

Author: Bill Schmarzo As Kevin Lynch, CTO of The Information Lab in Dublin, was describing how his organization uses the Hypothesis Development Canvas, it occurred […] Read More

Machine Learning Posted onOctober 16, 2019

Recovering “lost dimensions” of images and video

Author: Rob Matheson | MIT News Office MIT researchers have developed a model that recovers valuable data lost from images and video that have been […] Read More

Machine Learning Posted onOctober 15, 2019

When to use Machine Learning or Deep Learning? – Embedded Computing Design

Author: When to use Machine Learning or Deep Learning?  Embedded Computing Design Go to Source

Machine Learning Posted onOctober 15, 2019

Information Gain and Mutual Information for Machine Learning

Author: Jason Brownlee Information gain calculates the reduction in entropy or surprise from transforming a dataset in some way. It is commonly used in the […] Read More

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