# ehmark

## 387 Added | 1 Magazine | 5 Likes | 2 Following | 206 Followers | @ehmark | Keep up with ehmark on Flipboard, a place to see the stories, photos, and updates that matter to you. Flipboard creates a personalized magazine full of everything, from world news to life’s great moments. Download Flipboard for free and search for “ehmark”

### R Tip: Use drop = FALSE with data.frames

Another R tip. Get in the habit of using drop = FALSE when indexing (using [ , ] on) data.frames.Prince Rupert’s drops (img: Wikimedia Commons)In R, …

British Columbia### An introduction to joint modeling in R

(This article was first published on <b> R – Tales of R</b>, and kindly contributed to R-bloggers)<i>By J Espasandin, O Lado, A Bouzas, A Baluja.</i> You can also …

Data Science### How to solve 90% of NLP problems: a step-by-step guide

<b>This post is accompanied by</b> <b>an interactive notebook</b> <b>demonstrating and applying all these techniques. Feel free to run the code and follow along!</b><p>Step 1: …

### The 10 Statistical Techniques Data Scientists Need to Master

This was a basic run-down of some basic statistical techniques that can help a data science program manager and or executive have a better …

Data Science### bayesplot

<b>bayesplot</b> is an R package providing an extensive library of plotting functions for use after fitting Bayesian models (typically with MCMC). Currently</b> …

Data Science### The 10 Statistical Techniques Data Scientists Need to Master

Regardless of where you stand on the matter of Data Science sexiness, it’s simply impossible to ignore the continuing importance of data, and our …

Data Science### How Bayesian Inference Works

<i>Guest blog by Brando Rohrer. Brandon is an author and deep learning developer. He has worked as Principal Data Scientist at Microsoft, as well as for</i> …

Data Science### 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

<b>By Matthew Mayo, KDnuggets.</b><p>Nothing takes the place of meaningful and substantive study, but these cheat sheets (that's really not a great term for …

### SIDH in Go for quantum-resistant TLS 1.3

The Quantum Threat Most of today's cryptography is designed to be secure against an adversary with enormous amounts of computational power. This …

Information Security### The Formula for Chi-Square Statistic

To see how to compute a chi-square statistic using the formula, suppose that we have the following data from an experiment:<p>Expected: 25 Observed: …

### Tidy Time Series Analysis, Part 3: The Rolling Correlation

(This article was first published on <b>business-science.io - Articles</b>, and kindly contributed to R-bloggers)<p>In the third part in a series on <b>Tidy Time</b> …

### When not to use deep learning

<b>By Pablo Cordero, Hyperparameter</b>.<p>I know it’s a weird way to start a blog with a negative, but there was a wave of discussion in the last few days …

### Big names in statistics want to shake up much-maligned P value

One of scientists’ favourite statistics — the P value — should face tougher standards, say leading researchers.<p>Science is in the throes of a …

### Tidy Time Series Analysis, Part 2: Rolling Functions

In the second part in a series on <b>Tidy Time Series Analysis</b>, we’ll again use tidyquant to investigate CRAN downloads this time focusing on <b>Rolling</b> …

### Volatility modelling in R exercises (Part-2)

(This article was first published on <b>R-exercises</b>, and kindly contributed to R-bloggers)<p>This is the second part of the series on volatility modelling. …

### Coding Bayesian AB Tests in Python to Boost your App or Website Conversions

Back when I was getting started into Bayesian Statistics I found it hard to find some simple ready-to-use code examples to get started with …

### Data Science for Business - Time Series Forecasting Part 2: Forecasting with timekit

In my last post, I prepared and visually explored time series data.<p>Now, I will use this data to test the <b>timekit</b> package for time series forecasting …

### How to Evaluate the Skill of Deep Learning Models

I often see practitioners expressing confusion about how to evaluate a deep learning model.This is often obvious from questions like:• What random seed …

Machine Learning### The best Data Science courses on the internet, ranked by your reviews

An Introduction to Interactive Programming in Python (Part 1) and (Part 2) by Rice University via Coursera<p>Rice University’s Interactive Programming …

### Using R: a function that adds multiple ggplot2 layers

(This article was first published on <b>R – On unicorns and genes</b>, and kindly contributed to R-bloggers)<p>Another interesting thing that an R course …

### Bayes' Theorem: the maths tool we probably use every day, but what is it?

Our world view and resultant actions are often driven by a simple theorem, devised in secret more than 150 years ago by a quiet English mathematician …

Mathematics### Statistical Significance Is Overrated

Just because something can be observed doesn't mean that it's important.<p>Ronald A. Fisher, one of the fathers of modern statistics, reportedly got on the nerves of many of his contemporaries. But if there’s a reason we should be annoyed with Fisher today, it’s for coining the misleading term …

### Special cases of Shannon entropy

Given a random variable that takes on only finitely many values, we can define its Shannon entropy by the formulawith the convention that . (In some …

Mathematics### Looking For The Logic Behind Logarithms

When I was first trying to figure out what topics to cover in this series, I started off by doing what any developer would do: I asked the internet, …

Mathematics### From Descriptive to Prescriptive Analytics

(This article was first published on <b>Florian Teschner</b>, and kindly contributed to R-bloggers)<p>Predominately data science projects deal with descriptive …

### A comparison of deep learning packages for R

Oksana Kutina and Stefan Feuerriegel fom University of Freiburg recently published an in-depth comparison of four R packages for deep learning. The …

### Fueling the Gold Rush: The Greatest Public Datasets for AI

It has never been easier to build AI or machine learning-based systems than it is today. The ubiquity of cutting edge open-source tools such as …

Machine Learning### Data Science Interview Questions And Answers | Data Science Questions Asked Frequently

1. Compare Data Science Vs. Machine Learning<p><b>Criteria</b><p><b>Data Science</b><p><b>Machine Learning</b><p>Scope<p>Multidisciplinary<p>Training machines<p>Artificial Intelligence<p>Loosely …