Machine Learning Times
Machine Learning Times
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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 analytics

Reinforcement Learning for Budget Constrained Recommendations

 Originally published in Netflix TechBlog, Aug 15, 2022. Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations. Working within the time budget introduces an extra resource constraint for the recommender system. It

Visualizing Decision Trees with Pybaobabdt

 Originally published in Towards Data Science, Dec 14, 2021. An open-source package for decision tree visualization and model interpretation.   Data visualization is the language of decision-making. Good charts effectively convey information. Great charts enable, inform, and...

Correspondence Analysis: From Raw Data to Visualizing Relationships

 Isn’t it satisfying to find a tool that makes our analytic lives easier? Have you ever wondered whether it’s possible to display the results of an analysis visually so that insight can be gleaned quickly? Have you...

Ten Mistakes to Avoid When Creating a Recommendation System

 Originally published in Medium.com, July 27, 2022.  We’ve been long working on improving the user experience in UGC products with machine learning. Here are our ten key lessons of implementing recommendation systems in business to build a...

Supercharging A/B Testing at Uber

 Originally published in Uber Engineering, July 21, 2022. Introduction “Immensely laborious calculations on inferior data may increase the yield from 95 to 100 percent. A gain of 5 percent, of perhaps a small total. A competent overhauling...

Machine Learning for Snapchat Ad Ranking

 Originally published in Snapchat Engineering, July 11, 2022. Snapchat ad ranking aims to serve the right ad to the right user at the right time.  These are selected from millions of ads in our inventory at any...

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...

Heinz Taps State-of-the-Art AI to Design Its Next Ad Campaign

 Originally published in AdWeek, Aug 1, 2022. The brand is one of the first to rely on OpenAI’s Dall-E 2 art generator. Heinz tapped an artificial intelligence-powered art generator to create a clever demonstration of the ubiquity...

Artificial General Intelligence Is Not as Imminent as You Might Think

 Originally published in Scientific American, June 6, 2022.   A close look reveals that the newest systems, including DeepMind’s much-hyped Gato, are still stymied by the same old problems.   To the average person, it must seem as if...

A Refresher on Continuous Versus Discrete Input Variables

 How many times have I heard that the most critical element in predictive analytics is the data? Don’t misunderstand what I am saying. Method counts as well. But if there is a choice between better data or...

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