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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Machine Learning Posted onDecember 7, 2018

AMA NeurIPS 2018 Workshop on Causal Learning

Author: /u/heinzedeml Hi Reddit! Martin Arjovsky, Anna Klimovskaia, Maxime Oquab, Léon Bottou, David Lopez-Paz and myself, Christina Heinze-Deml, will be hosting the NeurIPS 2018 Workshop […] Read More

Machine Learning Posted onDecember 6, 2018

A Gentle Introduction to Early Stopping to Avoid Overtraining Deep Learning Neural Network Models

Author: Jason Brownlee A major challenge in training neural networks is how long to train them. Too little training will mean that the model will […] Read More

Machine Learning Posted onDecember 6, 2018

Forge AI Raises $11M to Crack Unstructured Data for Machine Learning – Xconomy

Author: Forge AI Raises $11M to Crack Unstructured Data for Machine Learning  Xconomy Forge AI, a Cambridge, MA-based startup aiming to decode the world’s mountains of […] Read More

Data Science Posted onDecember 6, 2018

The Quick Python Book

Author: Dan Clark Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while […] Read More

Data Science Posted onDecember 6, 2018

New Books and Resources for DSC Members

Author: Vincent Granville We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple […] Read More

Data Science Posted onDecember 5, 2018

Writing better code with pytorch and einops

Author: Comments Go to Source

Data Science Posted onDecember 5, 2018

Can AI Make B2B Sales Better?

Author: William Vorhies Summary: Sales is supposed to be an area that is more immune to replacement by AI than many others because of the […] Read More

Machine Learning Posted onDecember 4, 2018

How to Reduce Overfitting With Dropout Regularization in Keras

Author: Jason Brownlee Dropout regularization is a computationally cheap way to regularize a deep neural network. Dropout works by probabilistically removing, or “dropping out,” inputs […] Read More

Data Science Posted onDecember 4, 2018

Why ensembling works: The intuition behind Opendoor’s home pricing

Author: Comments Go to Source

Data Science Posted onDecember 4, 2018

Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: December and Beyond

Author: Gregory Piatetsky Coming soon: DataX New York, AI-2018 Cambridge UK, AI NEXTCon Seattle, Deep Learning Summit San Francisco, EGC France, H2O San Francisco, Business […] Read More

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