Top 10 Data Science Podcasts…
What is Podcast learning?
Podcasting is a valuable tool that teachers can use to teach a language and learn it. It is an alternative learning approach which can help develop your listening skills. Podcasting is also an instrument that enables teachers to share their ideas and feedback to enhance their teaching process.
Listening to podcasts during your daily journey or taking a break from the bustle of your day is an efficient and effective way to stay up to date in the field of data science and ensure that you always discover more.
Perhaps you’re just starting or you’ve been in the field for your entire professional life, data science can sometimes be a tough subject to digest. There are so many different opinions and recent developments to stay on top of, so anyone concerned in the field needs to be constantly plugged in — or what perfect way to do that than through machine learning podcasts? From empathic machine teaching to AI production. Podcasts are available in both audio and video formats.
This Week in Machine Learning & AI
While this podcast is relatively new compared to some of the more senior podcasts on this list, “This Machine Learning & AI Week” can certainly hold its own. Current shows every other week function Sam Charrington, the founder of CloudPulse Techniques, an industry research software company, and a particular artificial intelligence or AI specialist to discuss a range of issues.From empathic machine teaching to AI production. Podcasts are available in both audio and video formats.
TWIML generates and curates’ knowledgeable content that helps makers build better experiences for their consumers and gives executives an in-depth look at the real-world application of intelligence technology. We are also building and supporting communities of innovators who are as excited about these technologies as we are. We also advise a variety of leaders with organizations, helping to develop strategies to take advantage of the vast opportunities created by ML and AI.
Artificial Intelligence in Industry
Formed by Dan Faggella, founder of TechMergence, this weekly podcast finds that the host is discussing some of the insights to be gleaned from the application and the implications of artificial intelligence (AI), interviewing top dogs in the field, including investors and researchers from companies like Facebook, eBay, and Google.
Partially Derivative
If you’re searching for the latest news on data science, look no further. With a much more casual approach to breaking news, “Partially Derivative” finds hosts and experienced data scientists Chris Albon, Jonathon Morgan, and Vidya Spandana talking about drink news.
Because the original podcast format has been withdrawn, the hosts are working on bringing it back to life, and there’s a rich library of episodes to enjoy.
Freakonomics Radio
This is not exactly a data science podcast, but “Freakonomics Radio” is one of the most interesting podcasts out there dealing with economics and statistics puzzles in the face of other global issues. While it may not be directly concerned with data science technologies, this weekly podcast deals with the “before” process of data science: The math and the calculations and concepts behind the sciences.
Digital Analytics Power Hour
Digital Analytics Power Hour” is run by three friends (Michael Helbling, Tim Wilson, and Moe Kiss) who meet twice a month to drink and discuss their data experiences, promoting open forum discussions on interesting topics. Light, witty, and quite personal, this charming digital analytics podcast is more casual to listen to than some of the other podcasts listed here. But it does offer just as much technical detail.
Present Beyond Measure
Sponsored by Lea Pica, this bi-weekly podcast brings her own experience and knowledge as a data scientist and presentation expert. With mostly monologues and occasional interviews with industry experts, “Present Beyond Measures” focuses on data analysis and visualization issues, with the aim of providing guidance and insight into the tools and skills needed in the industry. Whether you’re a digital marketer, an analyst, or a business insight practitioner, you’re going to find a lot to gain from this podcast.
Linear Digressions
While some of the applications of data analytics have been thoroughly explored and become common knowledge in the field, some applications of machine learning and industry technology are not as well mined. “Linear Digressions (Great Name, right?) looks under the hood and into more unusual machine learning applications with data scientist Katie Malone and user interface engineer Ben Jaffe. This weekly podcast also breaks down complex data science issues into digestible chunks that can be valued by casual listeners.
IBM Analytics Insights
This is a go-to channel for listening to in-depth insights into very complex topics with expert guests. Bringing their own experiences and stories, the technical depth of this program makes it more suited to veterans in the data science industry. However, the weekly episodes deal with intriguing topics, such as cybercrime and video analytics, which have the potential to keep even the layman interested and entertained.
Learning Machines 101
As the title suggests, “Learning Machines 101” presents a back-to-back view of machine learning and AI, bringing fun and accessibility to a sometimes dry and technical subject. By raising interesting and clever questions about how these smart machines have an impact on our lives, this monthly podcast manages to get deep into technical issues without losing the audience.
SuperDataScience
The path to becoming a data scientist can be long and winding, and it can be hard to find the motivation to keep going. Host Kirill Eremenko understands that, and in this podcast, he is trying to generate this motivation through short episodes (5–10 minutes) as well as longer, inspiring interviews with data science experts, discussing not just the science behind data science, but also more casual topics such as lessons learned, mistakes made, and career development.
Listen and learn more……………………….
Conclusion*:*
The idea is not new.
New podcasts are airing all the time, and we can only expect the number of data science podcasts to develop as the field continues to explode in popularity.
Now you know that podcasting is very varied. You can choose short episodes focused on career development, more technical series on Machine Learning and Artificial Intelligence, or get inspiration from interviews with renowned experts.
It doesn’t matter what you choose! If you’re really in love with Data Science, podcasts can add a lot of fun to your everyday life and lead your career as a Data Scientist.
Choose the one that fits you best*!*