Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Podcast: Why Deep Learning Could Expedite the Next AI Winter
  Welcome to the next episode of The Machine Learning...
PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
 In anticipation of his upcoming presentation at Deep Learning...

Predictive Analytics

The Missing Analytics Executive

 Originally published in Benn.Substack, Nov 19, 2021. There’s a treadmill at the mountain top. Among the data leaders I know, many of their stories are the same. After rising up the ranks of their organizations, from junior analysts and data scientists, through positions as team leads and managers, and eventually to directors and VPs, their

Predicting Long-Term User Engagement from Short-Term Behavior

 Originally published in Insight, Nov 17, 2021. User engagement is one of many crucial elements to study and understand deeply for both well-established companies and nascent startups throughout the development of a product. A product’s health can...

EXCLUSIVE: Chinese Province Targets Journalists, Foreign Students with Planned New Surveillance System

 Originally published in Reuters, Nov 29, 2021.   Security officials in one of China’s largest provinces have commissioned a surveillance system they say they want to use to track journalists and international students among other “suspicious people”, documents...

What Percentage of Your Machine Learning Models Have Been Deployed?

  Do your models usually get deployed? Or are many of even your best models never actually launched into production? We want to know: What Percentage of Your Machine Learning Models Have Been Deployed? Industry buzz indicates...

Video – Credit Models, Microfinance, and Improving the Lives of Families in the Developing World

 Event: Machine Learning Week 2021 Keynote: Credit Models, Microfinance, and Improving the Lives of Families in the Developing World Speaker:  Aric LaBarr, Associate Professor of Analytics, Institute for Advanced Analytics at NC State University Bio:  A Teaching Associate Professor in the Institute...

A Behind-the-Scenes Look at How Postman’s Data Team Works

 Originally published in Entrepreneur’s Handbook, Oct 7, 2021 How Postman’s data team set up better onboarding, infrastructure, and processes while growing 4–5x in one year. Postman is no stranger to scale. What started out as a side project...

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...

Video – How to Use AI Ethically from Natalia Modjeska of Omdia

 Event: Machine Learning Week 2021 Keynote: How to Use AI Ethically Speaker: Natalia Modjeska, Research Director at Omdia (part of Informa Tech) Bio:  Natalia Modjeska is a Research Director at Omdia (part of Informa Tech) where she leads the team...

The First Rule of Machine Learning: Start without Machine Learning

 Originally published in Eugeneyan. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the...

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