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.

Posts
20+
Linkedin
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.
Are Thermostats Artificially Intelligent?
January 1, 2018

Are Thermostats Artificially Intelligent?

In the last episode of Data Skeptic, Kyle provided a definition of artificial intelligence that was broad enough to include thermostats. This post expands on that discussion with a few finer points. Please share your thoughts in the comments!
January 1, 2018

Data Skeptic T-Shirt Sizing

We've gotten some questions about the manufacturing and sizing of our t-shirts. Here are the measurement details.
December 5, 2017

NIPS Day 2

The Neural Information Processing Systems conference (NIPS) reached a record 7850 registered attendees this year. 679 papers were accepted out of 3590 submissions (18.9% acceptance rate). The accepted papers where 90% academic and 10% industry submissions. This is my day 2 summary.
December 5, 2017

Reprogramming the Human Genome Using AI

The second day of NIPS kicked off with this presentation from Brendan Frey. In the first minute, he put forward the bold claim "without artificial intelligence medicine is going to completely fail".
November 22, 2017

Computational Complexity Theory for Data Scientists

As was announced a while back on the Data Skeptic podcast, the show is going to have running themes for the foreseeable future, in which we'll spend a few months talking about one topic or area. We more or less did this earlier this year when we focused on deep learning following by a few episodes on deep learning in medical applications. These themes will become more formal and more obvious going forw
November 20, 2017

The Formal Statement of P not equal to NP

In the last episode of Data Skeptic, I asked Lance Fortnow about whether or not is was possible P vs NP was ill-posed. He correctly pointed out that, while some surprising result come emerge (like showing its impossible to solve it), it can't be ill-posed, because the problem has a formal mathematical statement. That statement is be
DataSkeptic Bot