I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science…

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The Best Kept Secret in Data Science

Big Data is a big pain. Humans are generating data five times faster than the rate of economic growth. Each day we create 2.5 Exabytes of new data, ninety percent of which is…

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Predicting Car Prices Part 1: Linear Regressi

1. **Introduction:…**

Data Science Apprenticeship
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Data Science Apprenticeship
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Fascinating New Results in the Theory of Rand

*Updated on March 24. See new sections on Fibonacci numbers* [3.2.(b)]*, comparing stochastic processes* [4.1.(b)]*, connection with Brownian motions* [4.1.(c)]*, new…*

Interesting picture comparing linear, logistic and Poisson regression, found here. For…

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18 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12…

Blog 18 Great Blogs Posted in the last 12 Months 5 Likes
Free Book: Introduction to Statistics

Online Statistics Education: A Multimedia Course of Study. Project Leader: David M. Lane, Rice…

Blog Free Book: Introduction to Statistics 13 Likes
15 Articles and Tutorials about Outliers

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, ouliers,…

Blog 15 Articles and Tutorials about Outliers 4 Likes 29 Statistical Concepts Explained in Simple EThis resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow,…

Blog 29 Statistical Concepts Explained in Simple E 23 Likes
Hilarious Graphs (and Pirates) Prove That Cor
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Will Big Data solve the Riemann Hypothesis?
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11 Important Model Evaluation Techniques Ever

When it comes to storytelling, we have a problem.

It’s not our fault though – as human beings **we are hard-wired from birth to look for patterns and explain why they happen**.…

Regressions are widely used…

Blog Getting Started with Regression in R 6 Likes A Complete Tutorial to learn Data Science inThis article on a complete tutorial to learn Data Science in R from scratch, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that…

Blog A Complete Tutorial to learn Data Science in 7 Likes Will Big Data solve the Riemann Hypothesis?The Riemann Hypothesis is arguably the most important unsolved problem in mathematics. It falls into an area called Analytic Number Theory which is…

Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how predictions (associated with…

Blog 11 Important Model Evaluation Techniques Ever 35 Likes 40 Techniques Used by Data ScientistsThese techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design…

Blog 40 Techniques Used by Data Scientists 61 Likes
Data Science: Identifying Variables That Migh
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Data Science: Identifying Variables That Migh
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I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science…

A Guide for Applying Machine Learning Techniq

Does it sound familiar to you? In order to get an idea of how to choose a parameter for a given classifier, you have to cross reference to a number of papers or books,…

Blog A Guide for Applying Machine Learning Techniq 13 Likes
18 Great Articles About Predictive Analytics

This resource is part of a series on…

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Has AI Gone Too Far? - Automated Inference of

*Summary:** This new study claims to be able to identify criminals based on their facial characteristics. Even if the data science is good has AI pushed too far into areas of…*

What is Deep Learning?
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What Can Modern Watson Do?

*Summary:** IBM’s Watson as it exists today is as close as we’ve come to a single integrated platform for AI. It contains all the capabilities for image and video, natural language…*

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