Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI and ML in Health Care: A Brief Review
 Of the many disciplines that are active users of...
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...

data analytics

Massive Traffic Experiment Pits Machine Learning Against ‘Phantom’ Jams

 Originally published in Berkeley News, Nov 22, 2022. Many traffic jams are caused by human behavior: a slight tap on the brakes can ripple through a line of cars, triggering a slowdown — or complete gridlock — for no apparent reason. But in a massive traffic experiment that occurred outside of Nashville last week, scientists

Microsoft Open Sources Its ‘Farm of the Future’ Toolkit

 Originally published in The AI Blog, Oct 6, 2022.  FARMINGTON, Wash. – The gently rolling hills here in eastern Washington have long grown rich harvests of wheat, barley and lentils. Fifth-generation farmer Andrew Nelson is adding a...

The Science Behind NFL Next Gen Stats’ New Passing Metric

 Originally published in Amazon Science, Aug 26, 2022.  Spliced binned-Pareto distributions are flexible enough to handle symmetric, asymmetric, and multimodal distributions, offering a more consistent metric. When football fans evaluate a player’s performance, they measure the player’s...

State of Data Science 2022

 Originally published in Anaconda. This year, we conducted our State of Data Science survey to gather demographic information about our community, ascertain how that community works, and collect insights into big questions and trends that are top...

Productizing Large Language Models

 Originally posted on Replit.com, Sept 21, 2022.  Large Language Models (LLMs) are known for their near-magical ability to learn from very few examples — as little as zero — to create language wonders. LLMs can chat, write...

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...

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...

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