Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the ... more
Publishes | Weekly | Episodes | 110 | Founded | 9 years ago |
---|---|---|---|---|---|
Categories | NewsTechnologyTech News |
In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show profe... more
On this episode we feature an interview with Madhulika Shrikumar of the Partnership on AI about their recent work Managing Risk and Responsible Publication more
Neil and Katherine chat about ICML and the timely award winner of this years test of time award! Bayesian Learning via Stochastic Gradient Langevin Dynamics more
Devin Guillory of UC Berkeley, is our guest on this episode. We talk about his love of robotics, working at the center of a new hype (learning with less labels) and his paper Combatting Anti-Blackness in the AI Community. He recently gave a talk on t... more
Find out how many people listen to Talking Machines and see how many downloads it gets.
We scanned the web and collated all of the information that we could find in our comprehensive podcast database.
Listen to the audio and view podcast download numbers, contact information, listener demographics and more to help you make better decisions about which podcasts to sponsor or be a guest on.
What used to be a great technical podcast on machine learning has devolved into increasingly obscure discussions of social justice. Apparently the culture war has to permeate all of my interests even those ostensibly non political in nature.
The only ML podcast I’ve found so far which is technical enough to listen to as an ML practitioner
Good guests but too long.
The audio levels are inconsistant and often way too low. This really interfears with my listening. When I can hear the content it is wonderful
I have my volume ALL THE WAY UP and yet I can hardly hear this. Hope this is resolved soon so I can enjoy the cast.
Apple Podcasts | #118 | Canada/Technology |
Apple Podcasts | #220 | France/Technology |
Apple Podcasts | #242 | Italy/Technology |
Apple Podcasts | #180 | Chile/Technology |
Apple Podcasts | #210 | Hong Kong/Technology |
Apple Podcasts | #227 | India/Technology |
Listeners, engagement and demographics and more for this podcast.
Gender Skew | Engagement Score | Primary Location | |||
---|---|---|---|---|---|
Social Media Reach |
Rephonic provides a wide range of data for three million podcasts so you can understand how popular each one is. See how many people listen to Talking Machines and access YouTube viewership numbers, download stats, chart rankings, ratings and more.
Simply upgrade your account and use these figures to decide if the show is worth pitching as a guest or sponsor.
There are two ways to find viewership numbers for podcasts on YouTube. First, you can search for the show on the channel and if it has an account, scroll through the videos to see how many views it gets per episode.
Rephonic also pulls the total number of views for each podcast we find a YouTube account for. You can access these figures by upgrading your account and looking at a show's social media section.
Podcast streaming numbers or 'plays' are notoriously tricky to find. Fortunately, Rephonic provides estimated listener figures for Talking Machines and three million other podcasts in our database.
To check these stats and get a feel for the show's audience size, you'll need to upgrade your account.
To see how many followers or subscribers Talking Machines has, simply upgrade your account. You'll find a whole host of extra information to help you decide whether appearing as a sponsor or guest on this podcast is right for you or your business.
If it's not, use the search tool to find other podcasts with subscriber numbers that match what you're looking for.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. You can see some of this data for free. But you will need to upgrade your account to access premium data.
Talking Machines launched 9 years ago and published 110 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contact information for you.
Our systems scan a variety of public sources including the podcast's official website, RSS feed, and email databases to provide you with a trustworthy source of podcast contact information. We also have our own research team on-hand to manually find email addresses if you can't find exactly what you're looking for.
Rephonic pulls reviews for Talking Machines from multiple sources, including Apple Podcasts, Castbox, Podcast Addict and more.
View all the reviews in one place instead of visiting each platform individually and use this information to decide whether this podcast is worth pitching as a guest or sponsor.
You can view podcasts similar to Talking Machines by exploring Rephonic's 3D interactive graph. This tool uses the data displayed on the 'Listeners Also Subscribed To' section of Apple Podcasts to visualise connections between shows.