Ranked #1
[MINI] Markov Chain Monte Carlo
[MINI] Markov Chain Monte Carlo
This episode explores how going wine testing could teach us about using markov chain monte carlo (mcmc).
3 Apr 2015
•
15mins
Ranked #2
Quantum Computing
Quantum Computing
In this week's episode, Scott Aaronson, a professor at the University of Texas at Austin, explains what a quantum comput... Read more
1 Dec 2017
•
47mins
Similar Podcasts
Super Data Science: ML & AI Podcast with Jon Krohn
Practical AI: Machine Learning, Data Science
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Engineering Podcast
The AI Podcast
Talk Python To Me
Python Bytes
The Real Python Podcast
a16z Podcast
DeepMind: The Podcast
Software Engineering Radio - the podcast for professional software developers
Thoughtworks Technology Podcast
The Changelog: Software Development, Open Source
In Machines We Trust
Ranked #3
Onnx
Onnx
Kyle interviews Prasanth Pulavarthi about the Onnx format for deep neural networks.
22 Jul 2019
•
20mins
Ranked #4
Game Theory
Game Theory
Thanks to our sponsor The Great Courses. This week's episode is a short primer on game theory. For tickets to the free D... Read more
11 May 2018
•
24mins
Most Popular Podcasts
The Joe Rogan Experience
TED Talks Daily
The Tim Ferriss Show
The Daily
Stuff You Should Know
Oprah's SuperSoul Conversations
Armchair Expert with Dax Shepard
Ranked #5
[MINI] Confidence Intervals
[MINI] Confidence Intervals
Commute times and BBQ invites help frame a discussion about the statistical concept of confidence intervals.
26 Sep 2014
•
11mins
Ranked #6
[MINI] The Chi-Squared Test
[MINI] The Chi-Squared Test
The Chi-Squared test is a methodology for hypothesis testing. When one has categorical data, in the form of frequency co... Read more
6 Feb 2015
•
17mins
Ranked #7
Being Bayesian
Being Bayesian
This episode explores the root concept of what it is to be Bayesian: describing knowledge of a system probabilistically,... Read more
26 Oct 2018
•
24mins
Ranked #8
[MINI] Natural Language Processing
[MINI] Natural Language Processing
This episode overviews some of the fundamental concepts of natural language processing including stemming, n-grams, par... Read more
17 Apr 2015
•
13mins
Ranked #9
Algorithmic Fairness
Algorithmic Fairness
This episode includes an interview with Aaron Roth author of The Ethical Algorithm.
14 Jan 2020
•
42mins
Ranked #10
[MINI] k-means clustering
[MINI] k-means clustering
The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters ... Read more
20 Feb 2015
•
14mins
Ranked #11
The Complexity of Learning Neural Networks
The Complexity of Learning Neural Networks
Over the past several years, we have seen many success stories in machine learning brought about by deep learning techni... Read more
20 Oct 2017
•
38mins
Ranked #12
[MINI] Bias Variance Tradeoff
[MINI] Bias Variance Tradeoff
A discussion of the expected number of cars at a stoplight frames today's discussion of the bias variance tradeoff. The ... Read more
13 Nov 2015
•
13mins
Ranked #13
[MINI] Primer on Deep Learning
[MINI] Primer on Deep Learning
In this episode, we talk about a high-level description of deep learning. Kyle presents a simple game (pictured below),... Read more
10 Feb 2017
•
14mins
Ranked #14
BERT is Magic
BERT is Magic
Kyle pontificates on how impressed he is with BERT.
16 Sep 2019
•
18mins
Ranked #15
Practicing and Communicating Data Science with Jeff Stanton
Practicing and Communicating Data Science with Jeff Stanton
Jeff Stanton joins me in this episode to discuss his book An Introduction to Data Science, and some of the unique challe... Read more
24 Oct 2014
•
36mins
Ranked #16
Serverless NLP Model Training
Serverless NLP Model Training
Alex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning ... Read more
10 Dec 2019
•
29mins
Ranked #17
Data Science Hiring Processes
Data Science Hiring Processes
Kyle shares a few thoughts on mistakes observed by job applicants and also shares a few procedural insights listeners at... Read more
28 Dec 2018
•
33mins
Ranked #18
The Right (big data) Tool for the Job with Jay Shankar
The Right (big data) Tool for the Job with Jay Shankar
In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar. The episod... Read more
7 Jul 2014
•
49mins
Ranked #19
[MINI] Bayesian Updating
[MINI] Bayesian Updating
In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might... Read more
27 Jun 2014
•
11mins
Ranked #20
Advertising Attribution with Nathan Janos
Advertising Attribution with Nathan Janos
A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of ... Read more
6 Jun 2014
•
1hr 16mins
