David Newell

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These are the best books for learning modern statistics—and they’re all free

Statistics came well before computers. It would be very different if it were the other way around.<p>The stats most people learn in high school or college come from the time when computations were done with pen and paper. “Statistics were constrained by the computational technology available at the …

Machine Learning

45 Python Libraries Every Machine Learning Engineer Should Know

<i>‘Do not reinvent the wheel’</i>. Every time I hear this adage, it reminds me when I was doing the MSc thesis. Back then I was building a finite element …

Why you should use Python for machine learning

What is it about Python—the language, the ecosystem, the development processes around them—that has made it into such a favorite for data …

9 pitfalls to avoid in building a successful machine learning program

During my past two decades working in the IT field, I’ve seen artificial intelligence technologies move from conceptual to practical — with machine learning techniques at the forefront, becoming more accessible, even for teams without specialized expertise.<p>With increased use of predictive modeling …

Machine Learning

6 tips for creating effective big data models

Big data is less predictable than traditional data, and therefore requires special consideration when building models. Here are some things to keep …

A Comprehensive Guide to Understand and Implement Text Classification in Python

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Taxonomy

Top Data Science & Machine Learning GitHub Repositories in March 2018

We use cookies on Analytics Vidhya websites to deliver our services, analyze web traffic, and improve your experience on the site. By using Analytics …

Machine Learning

Best Practices for Statistical Data Analysis

On this page we list a few resources for developing best practices in statistics and avoiding common pitfalls. Be sure to check the references in …

Data Science

A brief history of the scatter plot—data visualization’s greatest invention

Scatter plots are glorious. Of all the major chart types, they are by far the most powerful. They allow us to quickly understand relationships that would be nearly impossible to recognize in a table or a different type of chart. (Take this visualization of the relationship of country religiosity …

Data Visualization

Data science notebooks get real: JupyterLab releases to users

Jupyter notebooks break out of their "show and tell" role into something more suitable to data engineers. Can JupyterLab turn notebooks into an …

Big Companies Are Embracing Analytics, But Most Still Don’t Have a Data-Driven Culture

For six consecutive years NewVantage Partners has conducted an annual survey on how executives in large corporations view data. Each year the response rate increases, and the reported urgency of making effective use of data increases as well. This year the results are both more encouraging and more …

10 Laws Of UX, Illustrated

A handy guide for remembering Fitts’s Law, Jakob’s Law, and more.<p>Good design tends to follow general principles that give designers overarching guidelines to work within. But for user experience and interface designers, there are also laws that govern the nitty-gritty. For instance, it’s helpful to …

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 …

Applied Data Science with Python

COURSE 1<p>Introduction to Data Science in Python<p>Upcoming session: Jul 30<p>SubtitlesEnglish, Korean, Vietnamese, Chinese (Traditional)<p>About the Course<p>This …

Aspiring Data Scientists! Start to learn Statistics with these 6 books!

<b>Statistics is difficult.</b> Of course it is, as mostly that’s the actual science part in data science. But it doesn’t mean that you couldn’t learn it by …

Account Suspended

15 Trending Data Science GitHub Repositories you can not miss in 2017

We use cookies on Analytics Vidhya websites to deliver our services, analyze web traffic, and improve your experience on the site. By using Analytics …

Ten Simple Rules for Effective Statistical Practice

<i>By Kass RE, Caffo BS, Davidian M, Meng X-L, Yu B, Reid N. Originally posted here.</i> IntroductionSeveral months ago, Phil Bourne, the initiator and …

Data Science

Data Structures: Python Tutorial

Data structures are a way of organizing and storing data so that they can be accessed and worked with efficiently. They define the relationship …

What is a Bayesian Neural Network?

BNNs are important in specific settings, especially when we care about uncertainty very much.

Machine Learning

Introduction To Neural Networks

<i>This tutorial was originally posted here on Ben's blog, GormAnalysis.</i>Artificial Neural Networks are all the rage. One has to wonder if the catchy …

October 2017 New Packages

(This article was first published on <b>R Views</b>, and kindly contributed to R-bloggers)<p>Of the 182 new packages that made it to CRAN in October, here are …

Intro to Graph Optimization with NetworkX in Python

With this tutorial, you'll tackle an established problem in graph theory called the Chinese Postman Problem. There are some components of the …

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 …

The Differences Between Explanatory and Response Variables

One of the many ways that variables in statistics can be classified is to consider the differences between explanatory and response variables. …

Data Science

How to Predict Yes/No Outcomes Using Logistic Regression

Often we want to predict discrete outcomes in our data. Can an email be designated as spam or not spam? Was a transaction fraudulent or …

Machine Learning

The Amazing Ways Coca Cola Uses Artificial Intelligence And Big Data To Drive Success

The Coca Cola Company is the world’s largest beverage company selling more than 500 brands of soft drink to customers in over 200 countries. Every single day the world consumes more that 1.9 billion servings of their drinks including brands like Coca Cola (including Diet and Zero) as well as Fanta, …

Coca-Cola

Profiting from Python & Machine Learning in the Financial Markets

I finally beat the S&P 500 by 10%. This might not sound like much but when we’re dealing with large amounts of capital and with good liquidity, the …