This article was written by Natasha Latysheva. Here we publish a short version, with references to full source code in the original article. Our internal data scientist… Read More »k-nearest neighbor algorithm using Python
You did all the right things: getting a quantitative degree from a good university, or doing some internship, attending a few online classes (Coursera), spent… Read More »5 Unusual Ways to Find your First or Next Data Science Job
This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.com. Other bigger lists (sometimes created by robots) can be found here and are usually based… Read More »Big Data's Most Influential Rock Stars: 10 Must-Follow Leaders
If you read our digests, you already know that each week, we publish our picture of the week. Below is a selection from the last few… Read More »27 Best "Picture of the Week" Over the Last 12 Months
What do you think about Inora, a company that advertises itself as the New Linear Regression Approach – Scalable to Big Data. Our data scientist also… Read More »Automated Linear Regression for Really, Really Big Data
This long article with a lot of source code was posted by Suraj V Vidyadaran. Suraj is pursuing a Master in Computer Science at Temple university… Read More »Implementation of 17 classification algorithms in R
According to Wikipedia, MongoDB is a cross-platform document-oriented database. Classified as a NoSQL database, MongoDB avoids the traditional table-based relational database structure in favor of… Read More »70 MongoDB Interview Questions and Answers
This applies to many tech job interviews. But here we provide specific advice for data scientists and other professionals with a similar background. More advice… Read More »19 Worst Mistakes at Data Science Job Interviews
Data Science Central shared its predictions for 2016. More predictions can be found here. In this article, we share Scott Mongeau’s predictions. The full version of this… Read More »12 Emerging Trends in Data Analytics
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… Read More »11 Important Model Evaluation Techniques Everyone Should Know
