With the rapid pace at which technology is driving innovation in machine learning and artificial intelligence, it has become immensely important to keep pace with the ongoing trends in data science. However, it can become challenging to read everything that’s out there.
Podcasts are a great alternative to keep yourself updated. With the remarkable rise of the data science industry in recent years, enough podcasts have been created for us to geek out over.
In this article, we look at 10 such podcasts that we feel any data scientist must listen to:
Analytics Vidhya’s own DataHack Radio Podcast!
This is Analytics Vidhya’s exclusive podcast series which features top leaders and practitioners in the data science and machine learning industry. In fact, the first three episodes are already available! Listen and subscribe now!
It’s available on SoundCloud, iTunes, Google Podcasts and of course, our own site!
Average episode duration: 60 minutes
Total Number of Episodes: 23
Area(s) of focus: Data science, machine learning, deep learning, artificial intelligence
The Data Skeptic
With episodes ranging from anywhere between 15 minutes to an hour, the Data Skeptic is a great way to introduce yourself to the world of Data Science podcasts. The topics include interviews with data science practitioners to talk about real world data science challenges, simple academic concepts like feature selection, NLP, decision trees, among may others.
If you have to narrow down to one podcast, make sure it’s this one.
Average episode duration: Anywhere between 15-60 minutes
Total Number of Episodes: 198
Area(s) of focus: Data science concepts and real-world issues
The O’Reilly Data Show
This can get technical and quite in-depth at times, but it’s still a great way of keeping up to date with what’s happening in the world of AI and Machine Learning. It’s hosted by O’Reilly Media’s Chief Data Scientist, Ben Lorica.
Average episode duration: 20-60 minutes
Total Number of Episodes: 60
Area(s) of focus: Technically driven, deals with current issues
Concerning AI
This podcast offers a slightly different take on AI – it looks at the threats and risks that the growing influence of AI can have on today’s society, and what steps we need to take to combat it.
Average episode duration: 20-40 minutes
Total Number of Episodes: 62
Area(s) of focus: Regulations and concerns in the AI world
Data Stories
Data Visualization is at the heart of this podcast. Hosts Enrico Bertini and Moritz Stefaner interview folks from various fields every week. Recent topics include Data Pottery, Bitcoin Visualizations and a fascinating episode of “What’s Going on with this Graph?”.
Average episode duration: 30-50 minutes
Total Number of Episodes: 112
Area(s) of focus: Data visualization
Learning Machines 101
Their aim is to “demystify the field of Artificial Intelligence by explaining fundamental concepts in an entertaining manner”. Their topics do tend to get technical sometimes, like “How to use Expectation Maximization to Learn Constraint Satisfaction Solutions” or “How to Use Radial Basis Function Perceptron Software for Supervised Learning”. However, some topics are meant for all listeners regardless of technical knowledge.
Average episode duration: 20-30 minutes
Total Number of Episodes: 69
Area(s) of focus: Technically driven, intermediate to advanced machine learning concepts
Women in Data Science (WiDS) Podcast
I’m a big fan of the Women in Data Science (WiDS) series. In the WiDS podcast, Stanford Professor Margot Gerritsen interviews women across the data science profession as they share their career highlights, advice, and lessons learned along the way.
It’s quite an inspirational podcast and covers a wide range of domains, from healthcare to seismology to human rights and more.
Average episode duration: 30-40 minutes
Total Number of Episodes: 9
Area(s) of focus: Data science, machine learning, data science career
Artificial Intelligence in Industry (Dan Faggella)
Every week, Dan Faggella interviews data scientists and AI leaders from the world’s companies to figure out the applications and implications of AI. There are tons of episodes you can listen to from the last couple of years that are still relevant. The latest episode, “Will you buy your home or car using AI?” is a very pertinent topic in today’s society.
Average episode duration: 30 minutes
Total Number of Episodes: 99
Area(s) of focus: Interviews with data practitioners, discussions on current topics
Talking Machines
If you’re new to data science or are not a fan of the technical stuff, this podcast is for you. Each episode features interviews with industry experts about data science and gives a holistic overview of a few techniques. Most episodes also feature listeners calling in and asking questions.
Average episode duration: 60 minutes
Total Number of Episodes: 29
Area(s) of focus: Basic to intermediate data science concepts, listener Q&A , interviews with industry experts
This Week in Machine Learning & AI
Episodes in this podcast are churned out at a fairly regular interval every week. This features interviews with AI /ML experts on a variety of data science topics.
Average episode duration: 45 minutes
Total Number of Episodes: 111
Area(s) of focus: Current topics in ML and AI including projects and companies
Linear Digressions
The hosts, Ben Jaffe and Katie Malone, manage to break down complex data science problems and techniques into snippets of information that can be easily digested by the casual listener.
Average episode duration: 15 minutes
Total Number of Episodes: 164
Area(s) of focus: Data science and machine learning concepts applied to real-world issues
Freakonomics Radio
Disclaimer: This isn’t exclusively a data science podcast. Host Stephen J. Dubner explores a whole host of puzzling issues in the world but it gives the listener a good idea of how data science can be integrated into economics and other global issues.
Average episode duration: 45 minutes
Total Number of Episodes: 310
Area(s) of focus: Economics, interviews with social scientists
Are there any other podcasts you listen to? Add them in the comments section below!
Note: The total number of episodes mentioned in this article are updated till the publishing date.
Senior Editor at Analytics Vidhya.
Data visualization practitioner who loves reading and delving deeper into the data science and machine learning arts. Always looking for new ways to improve processes using ML and AI.
