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Author: Charles Durfee

Computer Science student with a passion for data science and artificial intelligence.
Data Science Posted onApril 3, 2019

Stripe Data Science Interview

Author: Comments Go to Source

Data Science Posted onApril 3, 2019

Alternatives to Logistic Regression

Author: Stephanie Glen Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, […] Read More

Machine Learning Posted onApril 2, 2019

How to Normalize, Center, and Standardize Images With the ImageDataGenerator in Keras

Author: Jason Brownlee The pixel values in images must be scaled prior to providing the images as input to a deep learning neural network model […] Read More

Machine Learning Posted onApril 2, 2019

How Machine Learning Is Transforming the Way Marketers Engage With Customers – CMSWire

Author: How Machine Learning Is Transforming the Way Marketers Engage With Customers  CMSWire Machine learning can help marketers gain a better understanding of customer behavior and […] Read More

Machine Learning Posted onApril 2, 2019

Teaching machines to reason about what they see

Author: Kim Martineau | MIT Quest for Intelligence A child who has never seen a pink elephant can still describe one — unlike a computer. […] Read More

Data Science Posted onApril 2, 2019

Uber’s Case Study at PAW Industry 4.0: Machine Learning to Enforce Mobile Performance

Author: Matt Mayo Editor Data scientists, industrial planners, and other machine learning experts will meet at PAW in Las Vegas on June 16-20, 2019 to […] Read More

Data Science Posted onApril 2, 2019

From Data Scientist to Data Leader

Author: Comments Go to Source

Data Science Posted onApril 2, 2019

32 Statistical Concepts Explained in Simple English – Part 11

Author: Vincent Granville This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, […] Read More

Machine Learning Posted onApril 1, 2019

Machine learning and information architecture: Success factors – ZDNet

Author: Machine learning and information architecture: Success factors  ZDNet Quantity and quality of data are not enough to take full advantage of machine learning. The structures […] Read More

Data Science Posted onApril 1, 2019

Weekly Entering & Transitioning Thread | 31 Mar 2019 – 07 Apr 2019

Author: /u/AutoModerator Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

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