Data Science Writers: Articles & Blogs from the Data Science Community

Nightly News: CI produces latest packages

Guest contributor rapidsposted by RAPIDS July 30, 2019

“Release code early and often” is a software engineering philosophy that RAPIDS takes to heart. We try to release about every six weeks or so, partly to keep up the pace of feature development, but also so RAPIDS users don’t get stuck on older versions of our software... Read more

Roles & Responsibilities of Artificial Intelligence in Education

Business + Management Education Guest contributor Educationposted by Steffen Carter July 18, 2019

Technology has developed by leaps and bounds and has penetrated into our daily lives in so many ways. It almost seems as if one cannot live without technology because our dependence on it has increased by many folds. Artificial intelligence remains to be a hot topic... Read more

Are Successful Data Scientists Hired or Trained?

Business + Management Featured Post Guest contributor West 2019posted by Jennifer Redmon July 17, 2019

Editor’s note: Jennifer is a speaker for ODSC West 2019 this November in San Francisco! Be sure to check out her talk, “Successful Enterprise Analytics Starts with Literacy” at this upcoming event! This talk asks: are successful data scientists hired or trained? The data science valley... Read more

The New Life of the Travel Industry with Artificial Intelligence

Business + Management Guest contributor Predictive Analytics Transportationposted by Ralabs July 16, 2019

The new online opportunities for travelers has a negative influence on touristic companies. A large number of their potential clients prefer to arrange their vacations on the internet instead of going to travel agencies. But there are a lot of ways new technologies, like AI, can... Read more

The 4 Most Important Traits to Look for When Hiring an AI Expert

Business + Management Guest contributor Accelerate AI Hiringposted by Manish Dudharejia July 1, 2019

Although AI gets a lot of heat for putting millions of people out of jobs – thanks to its automation properties – it is also creating opportunities for many to start promising careers in data science. Regardless, there can be a lot of roadblocks when hiring... Read more

How Product Managers Learn About AI Meeting Peak Effectiveness

Business + Management Guest contributor Accelerate AI Businessposted by Mark Cramer June 21, 2019

The most frequent question I get about AI from colleagues, product managers, and others, is, “What do I need to know about AI and what’s the best way to learn it?” I’ve invested a considerable amount of time taking numerous courses, so I dug into my... Read more

The Empirical Derivation of the Bayesian Formula

Guest contributor Machine Learning Modeling Statistics bayseian Machine Learningposted by Jannes Klaas June 18, 2019

Deep learning has been made practical through modern computing power, but it is not the only technique benefiting from this large increase in power. Bayesian inference is up and coming technique whose recent progress is powered by the increase in computing power. We can explain the... Read more

How to Use Deep Learning to Write Shakespeare

Guest contributor Modeling Deep Learningposted by Rosaria Silipo June 6, 2019

LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard “Many a true word hath been spoken in jest.” ― William Shakespeare, King Lear “O, beware, my lord, of jealousy; It is the green-ey’d monster, which... Read more

The Complete Guide to Decision Trees (part 1)

Guest contributor Machine Learning Modeling Decision Trees Machine Learningposted by Diego Lopez Yse May 15, 2019

In the beginning, learning Machine Learning (ML) can be intimidating. Terms like “Gradient Descent”, “Latent Dirichlet Allocation” or “Convolutional Layer” can scare lots of people. But there are friendly ways of getting into the discipline, and I think starting with this guide to decision trees is... Read more

5 Roadblocks to Getting an ML System in Production

Business + Management Guest contributor Machine Learning Machine Learningposted by Ben Schneider April 25, 2019

We typically meet an organization’s data science team after they’ve carried out a successful proof of concept. The algorithm they built or acquired produced results that were promising enough to greenlight development of a production ML system. It’s at this point that the immaturity of ML... Read more