Statistical Significance and p-Values Take An

I read an article this morning, about a top Cornell food researcher having 13 studies retracted, see…

Blog Statistical Significance and p-Values Take An 3 Likes
Some Thoughts on Mid-Career Switching Into Da

*Summary:** If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey.*

We get lots of…

Blog Some Thoughts on Mid-Career Switching Into Da 12 Likes
Sometimes outliers are real data

How do you know if an outlier is the result of a data glitch, or a real data point -- indeed maybe not an outlier. Difficult question to answer, but the chart below shows that in some cases, the…

Blog Sometimes outliers are real data 8 Likes 20 short tutorials all data scientists should*The new, completed version of this Data Science Cheat Sheet …*

Machine Learning and Data Science Cheat Sheet

You can download the new machine learning cheat sheet here (PDF format,…

Blog Machine Learning and Data Science Cheat Sheet 126 Likes How to Tell a Compelling Story with Data - 6*Author: Gaurav Jha.*

The way a message is communicated…

Blog How to Tell a Compelling Story with Data - 6 15 Likes Ten Simple Rules for Effective Statistical Pr*By Kass RE, Caffo BS, Davidian M, Meng X-L, Yu B, Reid N. Originally posted…*

The books listed at the top are more recent and show the evolution (one might say the come back) of data science towards deep learning and AI. The books in the other half of this listing have been…

Blog 22 Timeless Reference Books 11 Likes The Most Common Analytical and Statistical MiIt is not only about understanding about statistics, it is also about implementing the correct statistical approach or method. In this brief article I will showcase some common statistical…

Blog The Most Common Analytical and Statistical Mi 23 Likes Getting Started with Regression in RRegressions are widely used…

Blog Getting Started with Regression in R 6 Likes Difference between Machine Learning, Data SciIn this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT,…

Blog Difference between Machine Learning, Data Sci 109 Likes How to create a Best-Fitting regression modelBest Subset Regression method can be used to create a best-fitting regression model. This technique of model building helps to identify which predictor (independent) variables should be included…

Blog How to create a Best-Fitting regression model 3 Likes
Introduction to Number Theory: Fascinating Fa

I discuss here off-the-beaten-path beautiful, even spectacular results from number theory: not just about prime numbers, but also about related problems such as integers that are sum of two…

Blog Introduction to Number Theory: Fascinating Fa 10 Likes
Fuzzy Matching Algorithms To Help Data Scient

A common…

Blog Fuzzy Matching Algorithms To Help Data Scient 7 Likes
5 Phases To Successfully Complete a Data Scie

What are we trying to predict? Where is the data? How are we measuring…

Blog 5 Phases To Successfully Complete a Data Scie 20 Likes Damian Mingle Member Damian Mingle 2 Likes What's the best way to get started in Statist**What is the best way for getting started in…**

*Summary:** Got a good AUC on your hold out data? Think that proves that it’s safe to put the model into production. This article shows you some of the pitfalls in this new era of…*

The necessary skills for data scientists vary widely, depending on field and how up to date any given company’s set-up is. But in this era of increased demand for IT excellence, there are certain…

Blog Be A Star Data Scientist: Certifications For 3 Likes
3 reasons why you should care about clean, an

The term Big Data is no longer a buzzword, it’s become an institution, and businesses all over the world are hiring Data Scientists, Chief Data Officers and the like to help them make sense of it…

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