Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...

data science

Is Data Scientist Still the Sexiest Job of the 21st Century?

 Originally published in Harvard Business Review, July 15, 2022.  Ten years ago we published the article “Data Scientist: Sexiest Job of the 21st Century.” Most casual readers probably remember only the “sexiest” modifier — a comment on their demand in the marketplace. The role was relatively new at the time, but as more companies attempted to

Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize

 Originally published in Google AI Blog, Dec 7, 2021. Transformer models consistently obtain state-of-the-art results in computer vision tasks, including object detection and video classification. In contrast to standard convolutional approaches that process images pixel-by-pixel, the Vision Transformers (ViT) treat an image as a sequence...

Predicting Gene Expression With AI

 Originally published in DeepMind, Oct 4, 2021. Based on Transformers, our new Enformer architecture advances genetic research by improving the ability to predict how DNA sequence influences gene expression. When the Human Genome Project succeeded in mapping the DNA...

Five Points for Anger, One for a ‘Like’: How Facebook’s Formula Fostered Rage and Misinformation

 Originally published in The Washington Post, Oct 26, 2021.   Facebook engineers gave extra value to emoji reactions, including ‘angry,’ pushing more emotional and provocative content into users’ news feeds. Five years ago, Facebook gave its users five...

Video – Identifying Program Effectiveness for Survivors of Human Trafficking from Muneeb Alam of QuantumBlack

 Event: Machine Learning Week 2021 Keynote: Identifying Program Effectiveness for Survivors of Human Trafficking and Slavery Speaker: Muneeb Alam, Specialist, Data Science, QuantumBlack, a McKinsey company Bio:  Muneeb Alam is a data science specialist at QuantumBlack, a McKinsey Company. He...

How Can We Fix the Data Science Talent Shortage?

 Originally published in Springboard Blog, Jan 22, 2021. Data science might just be the most buzzed-about job in tech right now, but its pop culture sheen conceals some of the harsh realities of being a fresh graduate in...

Predictive Policing: Six Ethical Predicaments

  Originally published in KDNuggets. This article is based on a transcript from Eric Siegel’s Machine Learning for Everyone. View the video version of this specific article Nowhere could the application of machine learning prove more important...

What Twitter Learned From The Recsys 2020 Challenge

 Originally published in Towards Data Science on Oct 26, 2020. This year, Twitter sponsored the RecSys 2020 Challenge, providing a large dataset of user engagements. In this post, we describe the challenge and the insights we had...

Split-Second ‘Phantom’ Images Can Fool Tesla’s Autopilot

 Originally posted to Wired.com, Oct 11, 2020. Researchers found they could stop a Tesla by flashing a few frames of a stop sign for less than half a second on an internet-connected billboard. Safety concerns over automated...

Ethical Machine Learning as a Wicked Problem

 In the 1950 and 1960s, social and behavioral sciences were at the cutting edge of innovation. Scientific techniques and quantitative analyses were being applied to some of the most pressing social problems. The thinking was “If NASA...

Page 1 of 18 1 2 3 4 5 6 18