Kyle Polich

Kyle studied computer science and focused on artificial intelligence in grad school. His general interests range from obvious areas like statistics, machine learning, data viz, and optimization to data provenance, data governance, econometrics, and metrology.

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Notes on Uber's Experimentation Platform
May 21, 2018

Notes on Uber's Experimentation Platform

I attended the Chicago AI & Data Science Conference 2018 this past weekend. I presented a talk, lead a panel, and had the opportunity to enjoy a number of interesting talks. The particular talk I took the most from was given by Jeremy Gu and Mandie Liu, both from Uber on their experimental platform.
Ethical AI at MS Build 2018
May 7, 2018

Ethical AI at MS Build 2018

For a conference that is usually about product and service announcements, Build 2018 got off to a surprising start. This is Kyle's event summary.
Computing Machinery and Intelligence by Alan Turing, part 3
May 3, 2018

Computing Machinery and Intelligence by Alan Turing, part 3

A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 3 of 10.
Computing Machinery and Intelligence by Alan Turing, part 2
May 2, 2018

Computing Machinery and Intelligence by Alan Turing, part 2

A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 2 of 10.
Reinforcement Learning in the Real World
April 29, 2018

Reinforcement Learning in the Real World

We've pulled together a few short videos that give interesting examples of robots that leverage reinforcement learning to do some physical task.
Computing Machinery And Intelligence, Part 1 of 10
April 24, 2018

Computing Machinery And Intelligence, Part 1 of 10

A reading of Alan Turing's classic paper asking whether or not a machine can think. This is part 1 of 10.
Picking a Winner
April 20, 2018

Picking a Winner

At the end of our episode The Master Algorithm we asked listeners to submit a resume to us to build a corpus for an upcoming project. We're working on an analysis of all the submissions and our result will be sent just to those that contributed a resume.
Bruce Wilcox
April 18, 2018

Bruce Wilcox

The full version of my interview with Bruce Wilcox.
April 18, 2018

Los Angeles Data Scientists

Here's a quick collection of episodes we've done specifically with data scientists working in Los Angeles.
A Turing Test for X
April 15, 2018

A Turing Test for X

Humans continue to build machines which are increasingly better and better at tasks we once thought only a human could do. Attempts to compare human actions to computer actions are sometimes referred to as "Turing Tests for _____". Is this an appropriate name? What are some noteworthy examples? Find out in this post.
Charlie Maloney
April 13, 2018

Charlie Maloney

The full version of my interview with Charlie Maloney.
Allen NLP
April 2, 2018

Allen NLP

AllenNLP is an open source Python NLP research library built on top of PyTorch. It's designed to give users access easily leverage models built by other people, and to build and test user-defined model and datasets.
AI at Microsoft
March 25, 2018

AI at Microsoft

In this episode I catch up with Paige Bailey and Seth Juarez from Microsoft regarding how Microsoft is working on empowering developers to include artificial intelligence in their applications.
Meet Rose, a Chatbot
March 25, 2018

Meet Rose, a Chatbot

Many more ambitious developers have created chatbots which seek to mimic human conversation. One such chatbot named Rose can be talked to online. Click this link to talk to Rose. Rose is built using a language called Chatscript.
March 24, 2018

Concerns About the AI Threat

I recently got a message from a listener responding to my episode with Pedro Domingos raising some concerns about the context within which we discussed the topic of artificial intelligence. The email was thoughtful and detailed, so I thought an open reply might benefit a larger readership than just one listener. Here's my reply.
POMDP Retrospective
February 26, 2018

POMDP Retrospective

In the most recent episode of Data Skeptic, we discussed Partially Observable Markov Decision Processes (POMDPs). This framework for artificial intelligence is a big topic requiring much deeper discussion than fits well into the podcast format. If you're looking for a bit more on this subject, a great next step is these slides from Anthony Cassandra.
Progress in AI
February 19, 2018

Progress in AI

Last year, the Electronic Frontier Foundation launched a project to track progress in the field of AI called the EFF AI Progress Measurement. This is an open source effort to document progress made in AI and open challenges faced by the community. Their research does a nice job summarizing progress made in various tasks such as computer vision and chess playing. It is deeply linked to the research papers relevant and the performance of each.
February 15, 2018

Simple SQL Query Not Working with Pandas Solution

Here's how you fix a very obtuse error message of `TypeError: 'dict' object does not support indexing`.
Deploying Machine Learning to Production with MS SQL Server
January 29, 2018

Deploying Machine Learning to Production with MS SQL Server

A dirty secret of machine learning in industry is how often people re-invent the wheel figuring out how to deploy their models into a production environment. Largely, this is due to the lack of canonical tools that have all the necessary bells and whistles. In this episode, I discuss the process with Tobias Ternström. We have a detailed discussion about the questions a practioneer would have when considering how they might use SQLServer as the right tool for their production machine learning model deployments.
Colossus: The Forbin Project
January 22, 2018

Colossus: The Forbin Project

This 1970s film from Universal Pictures, based upon the 1966 science fiction novel Colossus, by Dennis Feltham Jones, is required watching in the genre of artificial intelligence movies. It's the story of what happens when a military supercomputer comes on line and is given control of important systems.
Word Clouds Revisited
January 15, 2018

Word Clouds Revisited

Listeners to the Data Skeptic podcast will recall an episode in which I put forward a call to arms suggesting: Let's kill the word cloud. I gave my strongest arguments for why I hate word clouds, but I didn't provide any empirical support for my point of view. Lucky for me, a new study fills in this gap.
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