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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Data Science Posted onJanuary 29, 2019

The Language of Data: Analyzing the State of the Union

Author: datascience@berkeley Staff Each president’s State of the Union address is an attempt to set the tone for his term in office — what are […] Read More

Data Science Posted onJanuary 29, 2019

Monetizing the Math – are you ready?

Author: Dan Clark We outline an extensive list of things to do or plan for to help fully realize the ROI of your AI and […] Read More

Data Science Posted onJanuary 29, 2019

A Book Review of “Architecting Modern Data Platforms”

Author: Comments Go to Source

Data Science Posted onJanuary 29, 2019

One Shot Learning and Other Strategies for Reducing Training Data

Author: William Vorhies Summary: Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from […] Read More

Machine Learning Posted onJanuary 29, 2019

Learning Math For Machine Learning And Artificial Intelligence Programming – Forbes

Author: Learning Math For Machine Learning And Artificial Intelligence Programming  Forbes Last year, I started writing about my experiences taking courses on machine learning and artificial […] Read More

Data Science Posted onJanuary 28, 2019

Weekly Digest, January 28

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Data Science Posted onJanuary 28, 2019

E-commerce Analysis: Data-Structures and Applications

Author: Comments Go to Source

Machine Learning Posted onJanuary 28, 2019

Amazon Open Sources SageMaker Neo To Run Machine Learning Models At The Edge – Forbes

Author: Amazon Open Sources SageMaker Neo To Run Machine Learning Models At The Edge  Forbes Amazon has announced a new open source project, Neo-AI, which attempts […] Read More

Machine Learning Posted onJanuary 27, 2019

Loss and Loss Functions for Training Deep Learning Neural Networks

Author: Jason Brownlee Neural networks are trained using stochastic gradient descent and require that you choose a loss function when designing and configuring your model. […] Read More

Data Science Posted onJanuary 27, 2019

How to train a decision tree model for churn prediction

Author: Comments Go to Source

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