Podcasts are a great way to educate yourself about a certain topic or to keep up with the latest trends in a particular area. They’re gaining more and more relevance, as the number of podcast listeners is on the rise. Currently, around 50 million Americans listen to podcasts on a weekly basis. Among topics that are becoming increasingly interesting for both creators and fans are the latest data science and AI issues and developments. If you’re interested in getting involved in this industry or simply want to know what’s new in this area, here are a few podcasts that you might find useful.
Talking Machines offers a little bit of something for everyone. Hosts Katherine Gorman and Ryan Adams have different backgrounds, the former coming from the world of radio production and the latter being a machine learning academic. Together with their guests who are experts in machine learning, they try to analyze some important concepts on a level comprehensible to most listeners, although they do sometimes tend to get a bit technical. An average episode lasts for around 60 minutes and listeners are welcome to give them a call and get involved in the conversation themselves.
Once a week, for more than 4 years, Kyle Polich, the host of Data Skeptic, deals with matters like natural language processing, data science or game theory. The episodes vary from hour-long discussions with industry experts to 10-15 minutes short overviews of topics and trends related to the mentioned subject matters. Some episodes demand a decent level of knowledge about these fields, but Kyle and his occasional co-host, Linh Da, do their best to make them more accessible, often by using amusing analogies with their parrot.
The O’Reilly Data Show
Big data is truly big and is not getting smaller as 2.5 quintillion bytes of new data is created every day. One of the best places to get informed on big data is the O’Reilly data show, hosted by Ben Lorica, Chief Data Scientist of the O’Reilly Media. Episodes are around half an hour long, with a schedule that tends to be somewhat inconsistent.
Lorica hosts some of the top authorities in the area of data science and usually keeps the discussion at a very high level. Therefore, having some knowledge of the subject matter is desirable if you want to be able to follow the conversation. It’s great for experts and those who work in the big data companies, as it can help them improve their understanding of the hottest data science issues.
Learning Machines 101
Some of the predictions concerning AI are not just shocking, but also worrying. For instance, according to some studies, almost 40 percent of jobs in America will be replaced by AI by 2030s. In addition, as soon as two years from now, we can expect 85 percent of customer interactions being managed without any human help.
These two predictions come from reliable sources, but there’s a lot of crazy theories about AI that need to be debunked. Learning Machines 101 is a podcast with a goal to demystify artificial intelligence and myths about it. They claim that they’re trying to introduce people to the world of AI in an amusing and entertaining manner, although they do get carried away now and then so discussions can become too technical at times. Therefore, some episodes require a bit of background knowledge about artificial intelligence.
As it was just mentioned, there’s a lot of ignorance surrounding the topics of AI, machine learning and data science. Luckily, there are all sorts of courses, shows and podcasts that are trying to reach people who are not exactly experts in the subject matter. And it’s very important to find ways to present the complex issues related to these topics to a wider, less proficient audience.
Linear Digressions’ hosts, Ben Jaffe and Katie Malone, try to do this by pointing out to real-world applications of neural networks and some machine learning concepts. It’s short, interesting and relatively easy to digest, so listening to their 15-30 minute episodes definitely won’t be a waste of time
Data Stories is a podcast created by Enrico Bertini and Moritz Stefaner, and it runs once a week. It features guests from different fields, and the discussions are probably a bit more focused than in the case of other presented podcasts. The main talking point is data visualization, so if you happen to have an interest in this field, this podcast is a great place to start. Over one hundred episodes have been aired already, and with each episode 30-50 minutes long, that’s a huge amount of content you can enjoy.
There are many more podcasts that deal with topics of data science, machine learning and artificial intelligence, such as Concerning AI, This Week in Machine Learning and AI, Partially Derivative or Freakonomics Radio. If you’re interested in these fields, you should choose the podcasts that suit your level of understanding and specific areas of interest. Whichever you pick, having a little extra knowledge on these matters won’t hurt you, since these are all growing industries, with AI industry alone predicted to become a $5 billion business by 2020. In any event, it will be time well-spent compared to endless scrolling through social networks.