Machine Learning Times
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Inside Netflix’s Quest to End Scrolling – How the Company is Working to Solve One of its Biggest Threats: Decision Fatigue.

 Originally published in Vulture, April 28, 2021.  Ten years ago, Netflix got the idea that its app should work more like regular TV. This was early on in its transition from DVD delivery to streaming on demand, and product engineers at the company were still figuring out how the platform’s user interface would work. Instead

Clustergam: Visualisation of Cluster Analysis

 Originally published in MARTIN FLEISCHMANN, April 27, 2021. When we want to do some cluster analysis to identify groups in our data, we often use algorithms like K-Means, which require the specification of a number of clusters....

The Precondition for Machine Learning Success: Bridge the Quant/Business Culture Gap

  Over the last few years, I poured thousands of working hours and 25 years of consulting and teaching experience into making the online course Machine Learning Leadership and Practice – End-to-End Mastery. Why? I developed this...

Hot Video: The Accuracy Fallacy – Bogus Machine Learning Results

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re gay? When machine learning practitioners claim their model achieves “high accuracy,” it’s often bogus. This video reveals the undeniable yet...

Can Artificial Intelligence Combat Wildfires? Sonoma County Tests New Technology

 Originally published in Los Angeles Times, March 19, 2021. Sonoma County is adding artificial intelligence to its wildfire-fighting arsenal. The county has entered into an agreement with the South Korean firm Alchera to outfit its network of...

Data Science for Marketing Optimization – Case Studies from Airbnb, Lyft, DoorDash

 Originally published in Blogboard Journal, Jan 7, 2021. In this article we’ll look at several case studies of data science being used to optimize marketing efforts at companies like Lyft, Airbnb, Netflix, Doordash, Wolt, Rovio Entertainment. In...

I Helped Build ByteDance’s Censorship Machine

 Originally published in Protocol, Feb 18, 2021. This is the story of Li An, a pseudonymous former employee at ByteDance, as told to Protocol’s Shen Lu. I wasn’t proud of it, and neither were my coworkers. But...

Institutionalizing Ethics in AI Through Broader Impact Requirements

 Originally published in Nature Machine Intelligence, Feb, 2021. Turning principles into practice is one of the most pressing challenges of artificial intelligence (AI) governance. In this Perspective, we reflect on a governance initiative by one of the...

Surge Pricing, Artificial Intelligence, and Responsibility

 On my first work trip to Jakarta 14 January 2016 for Grab, multiple terrorist bombs exploded a couple of miles from the GrabBike office where I had just arrived. People were fleeing cafes and restaurants around the attack site. My...

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...

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