Data Science Research on Machine Learning, Deep Learning, NLP, & More

The Six Stages of Computational Science

Modeling Research Data analysis|Open Data Scienceposted by Allen Downey March 5, 2018

This is the second in a series of articles related to computational science and education. The first article is here. The Six Stages of Computational Science When I was in grad school, I collaborated with a research group working on computational fluid dynamics. They had accumulated a... Read more

What are data science and machine learning?

Deep Learning Modeling Research Statistics Data Science|Machine Learningposted by Sebastian Raschka February 27, 2018

Let’s start with machine learning In short, machine learning algorithms are algorithms that learn (often predictive) models from data. I.e., instead of formulating “rules” manually, a machine learning algorithm will learn the model for you. So, let me give you an example to illustrate what that... Read more

Named Entity Recognition: Milestone Models, Papers and Technologies

Modeling Research classification|Data Mining|NLPposted by Parth Shrivastava December 30, 2017

Named Entity Recognition: Extracting named entities from text Named Entity Recognition (NER), or entity extraction is an NLP technique which locates and classifies the named entities present in the text. Named Entity Recognition classifies the named entities into pre-defined categories such as the names of persons, organizations,... Read more

Beyond Computational Reproducibility, let us Aim for Reusability

Data Wrangling Modeling Researchposted by Gael Varoquaux September 30, 2017

Scientific progress calls for reproducing results. Due to limited resources, this is difficult even in computational sciences. Yet, reproducibility is only a means to an end. It is not enough by itself to enable new scientific results. Rather, new discoveries must build on reuse and modification... Read more

Web Scraping Indeed for Key Data Science Job Skills

Career Insights Data Wrangling Modeling Research Data Science Jobsposted by Jesse Steinweg-Woods September 20, 2017

Editor’s Note: Check out our 2017 State of Data Science Jobs Report to compare stats, sentiments, and POVs. *available in Spanish As many of you probably know, being a data scientist requires a large skill set . . . Credit: Swami Chandrasekaran To master all of... Read more

The software engineering rule of 3

Modeling Researchposted by Erik Bernhardsson September 20, 2017

Here’s a dumb extremely accurate rule I’m postulating* for software engineering projects: you need at least 3 examples before you solve the right problem. This is what I’ve noticed: Don’t factor out shared code between two classes. Wait until you have at least three. The two first attempts to... Read more

Our research in 2016: personal scientific highlights

Blog Research Researchposted by Gael Varoquaux July 15, 2017

Year 2016 has been productive for science in my team. Here are some personal highlights: bridging artificial intelligence tools to human cognition, markers of neuropsychiatric conditions from brain activity at rest, algorithmic speedups for matrix factorization on huge datasets… Artificial-intelligence convolutional networks map well the human visual... Read more

The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)

Blog Deep Learning Research Research Convolutional Neural Networks|Neural Networksposted by Adit Deshpande July 13, 2017

Introduction Link to Part 1 Link to Part 2 In this post, we’ll go into summarizing a lot of the new and important developments in the field of computer vision and convolutional neural networks. We’ll look at some of the most important papers that have been... Read more

Seven Python Kernels from Kaggle You Need to See Right Now

Blog NLP/Text Analytics Research Statisticsposted by George McIntire, ODSC July 10, 2017

The ability to post and share kernels is probably my favorite thing about Kaggle. Learning from other users’ kernels has often provided inspiration for a number of my own projects. I also appreciate the attention to detail and descriptions provided by some users in their code... Read more

Why I like the Convolution Theorem

Blog Research Statisticsposted by Thomas Lumley July 4, 2017

The convolution theorem (or theorems: it has versions that some people would call distinct species and other would describe as mere subspecies) is another almost obviously almost true result, this time about asymptotic efficiency. It’s an asymptotic version of the Cramér–Rao bound. Suppose (hattheta) is an... Read more