Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...

Industry News

YouTube AI Blocked Chess Channel after Confusing ‘Black’ and ‘White’ for Racist Slurs

 Originally published in News18.com, Fe 20, 2021 Did YouTube block a chess channel over violation of community guideline and usage of racist language? Late last year, a YouTuber who produces popular chess videos found that his channel was blocked over charges of ‘harmful and dangerous’ content. Even though the channel was restored within 24 hours,

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...

Gradient Descent Models Are Kernel Machines (Deep Learning)

 Originally published in infoproc.blogspot.com, Feb 7, 2021. This paper shows that models which result from gradient descent training (e.g., deep neural nets) can be expressed as a weighted sum of similarity functions (kernels) which measure the similarity...

Worried About Your Firm’s AI Ethics? These Startups Are Here to Help.

 Originally published in MIT Technology Review, Jan 15, 2021. A growing ecosystem of “responsible AI” ventures promise to help organizations monitor and fix their AI models. Rumman Chowdhury’s job used to involve a lot of translation. As...

Machine Learning Models are Missing Contracts

 Why pretrained machine learning models are often unusable and irreproducible — and what we can do about it. Introduction A useful approach to designing software is through contracts. For every function in your codebase, you start by writing...

When Are We Going to Start Designing AI With Purpose?

 Originally published in UX Collective, Jan 19, 2021. For an industry that prides itself on moving fast, the tech community has been remarkably slow to adapt to the differences of designing with AI. Machine learning is an...

How Facebook is Using AI to Improve Photo Descriptions for People Who Are Blind or Visually Impaired

 Originally published in [email protected], Jan 19, 2021. When Facebook users scroll through their News Feed, they find all kinds of content — articles, friends’ comments, event invitations, and of course, photos. Most people are able to instantly...

Learning the Language of Viral Evolution and Escape

 Originally published in AAAS, Jan 15, 2021. Natural language predicts viral escape Viral mutations that evade neutralizing antibodies, an occurrence known as viral escape, can occur and may impede the development of vaccines. To predict which mutations...

Machine Learning is Going Real-Time

 Originally published in Chip Huyen, Dec 27, 2020. After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, I noticed two groups of companies. One group has made significant...

2020: A Year Full of Amazing AI papers- A Review

 Originally published in GitHub.com. A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code Even with everything that happened in the world this...

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