Data science | Machine learning

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Contents

With the rapid pace at which technology is driving innovation in machine learning and artificial intelligence, it has become immensely important to keep up with current trends in data science. But nevertheless, it can be difficult to read everything out there.

Podcasts are a great alternative to keep up to date. With the remarkable rise of the data science industry in recent years, enough podcasts have been created for us to get to know them.

In this article, we analyze 10 podcasts like this that we think any data scientist should listen to:

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This is DataPeaker's exclusive podcast series featuring top leaders and professionals from the data science and machine learning industry.. In fact, The first three episodes are now available!! Listen and subscribe now!

Is available in SoundCloud, iTunes, Podcasts de Google and of course, our own site!

Average episode duration: 60 minutes

Total number of episodes: 23

Area (s) focus: Data science, machine learning, deep learning, artificial intelligence

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With episodes ranging from 15 minutes and an hour, Data Skeptic is a great way to introduce yourself to the world of data science podcasts. Topics include interviews with data science professionals to discuss real-world data science challenges, simple academic concepts such as feature selection, PNL, decision trees, among others.

If you have to limit yourself to a podcast, make sure it's this.

Average episode duration: Anywhere between 15 Y 60 minutes

Total number of episodes: 198

Area (s) focus: Data Science Concepts and Real World Problems

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This can get technical and quite profound at times., but it's still a great way to keep up with what's going on in the world of artificial intelligence and machine learning. It is hosted by O'Reilly Media's Chief Data Scientist, I'm Lorica.

Average episode duration: 20-60 minutes

Total number of episodes: 60

Area (s) focus: Technically driven, deals with current issues.

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This podcast offers a slightly different take on AI: analyzes the threats and risks that the growing influence of AI can have in today's society and the steps we must take to combat it.

Average episode duration: 20-40 minutes

Total number of episodes: 62

Area (s) focus: Regulations and concerns in the world of AI

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Data visualization is at the heart of this podcast. Hosts Enrico Bertini and Moritz Stefaner interview people from various fields each week. Recent topics include Data Pottery, Bitcoin visualizations and a riveting episode of “What's going on with this graph?”.

Average episode duration: 30-50 minutes

Total number of episodes: 112

Area (s) focus: Data visualization

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Its objective is "to demystify the field of Artificial Intelligence by explaining fundamental concepts in an entertaining way". His topics tend to get technical at times, What “How to use expectation maximization to learn constraint satisfaction solutions” O “How to Use Radial Basis Function Perceptron Software for Supervised Learning”. But nevertheless, some songs are intended for all listeners, regardless of your technical knowledge.

Average episode duration: 20-30 minutes

Total number of episodes: 69

Area (s) focus: Technically Driven Intermediate to Advanced Machine Learning Concepts

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I'm a huge fan of the Women in Data Science series (WiDS). On the WiDS podcast, Stanford Professor Margot Gerritsen interviews women in the data science profession as they share career highlights, tips and lessons learned along the way.

It's quite an inspiring podcast and covers a wide range of domains, from healthcare to seismology, human rights and more.

Average episode duration: 30-40 minutes

Total number of episodes: 9

Area (s) focus: Data science, machine learning, career in data science

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every week, Dan Faggella interviews data scientists and artificial intelligence leaders from the world's companies to discover the applications and implications of artificial intelligence. There are tons of episodes you can listen to from the last few years that are still relevant.. The last episode, “Will you buy your house or your car with AI?” it is a very pertinent topic in today's society.

Average episode duration: 30 minutes

Total number of episodes: 99

Area (s) focus: Interviews with data professionals, discussions on current issues.

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Whether you're new to data science or not a fan of technical stuff, this podcast is for you. Each episode features interviews with industry experts on data science and provides a holistic overview of some techniques.. Most episodes also feature listeners calling and asking questions..

Average episode duration: 60 minutes

Total number of episodes: 29

Area (s) focus: Basic to Intermediate Data Science Concepts, questions and answers from listeners, interviews with industry experts

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The episodes of this podcast are played at fairly regular intervals every week. This includes interviews with AI experts / ML on a variety of data science topics.

Average episode duration: 45 minutes

Total number of episodes: 111

Area (s) focus: Current Topics in ML and AI, including projects and companies.

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The hosts, Ben Jaffe and Katie Malone, they manage to break down the complex problems and techniques of data science into bits of information that the casual listener can easily digest.

Average episode duration: 15 minutes

Total number of episodes: 164

Area (s) focus: Data Science and Machine Learning Concepts Applied to Real-World Problems

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Disclaimer: this is not exclusively a data science podcast. Presenter Stephen J. Dubner explores a host of puzzling problems 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) focus: Economy, interviews with social scientists

Are there other podcasts you listen to? Add them in the comment section below!!

Note: The total number of episodes mentioned in this article is updated to the date of publication..

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