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The Data Buzz series brings you a regular roundup of what’s trending in data science.
Interested in learning more about data science? Podcasts are a great place to begin. There are hundreds of active data science podcasts, covering everything from machine learning to data science current events – here are five suggestions to get you started.
1. Data Skeptic
The Data Skeptic podcast is one of the longest-running data science programs on the web. Hosts Kyle and Linda Polich explore a wide variety of data science topics with an eye toward unseen angles and quirky insights, and welcome a diverse cast of expert guests – including frequent appearances by their pet parrot, Yoshi. Data Skeptic also releases two 15-minute “mini shows” every month dedicated to in-depth explanations of topics like using dropouts to combat data overfitting. A great fit for analysts new to the field, and for the data-curious general public.
2. Partially Derivative
Partially Derivative is tailor-made for busy up-and-coming analysts who need a breather from their data science courses or professional work. The show has a laid-back “beer and wine” vibe, with hosts Chris Albion and Jonathan Morgan examining trending topics and current events in the field. Worth a listen by anyone, from curious enthusiasts to senior-level scientists.
3. The Data Show
The Data Show, hosted by O’Reilly Media chief data scientist Ben Lorica, features deep dives into data science topics. From interviews with experts to panel discussions and topic breakdowns, you can count on this podcast for a hard look at the technical details of topics like neural function and virtual reality visualizations. Especially good for veterans in the data science field.
4. IBM Analytics Insights
IBM’s data science podcast is your go-to channel if you want to hear from top players in the world of big data and big business. Expert guests offer deep insight into complex topics, along with stories from their own work in the field. Recent episodes have focused on issues like using cognitive computing to stop cyber criminals and how video analytics can improve a community’s quality of life. The program’s technical depth is geared toward industry veterans, but its topics are interesting enough to keep the layman entertained.
5. Learning Machines 101
If you’ve ever wondered what machine learning is all about, this program is right up your alley. Learning Machines 101 has a dual mission: gently introduce listeners to the world of machine learning, while also embarking on deep examinations of technical topics like “How to Identify Hallucinating Learning Machines Using Specification Analysis.” Perfect for anyone who’s at all curious about one of the hottest subfields in data science today.
The post 5 Data Science Podcasts Worth Tuning Into appeared first on Coursera Blog.
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Interested in learning more about data science? Podcasts are a great place to begin. There are hundreds of active data science podcasts, covering everything from machine learning to data science current events – here are five suggestions to get you started.
1. Data Skeptic
The Data Skeptic podcast is one of the longest-running data science programs on the web. Hosts Kyle and Linda Polich explore a wide variety of data science topics with an eye toward unseen angles and quirky insights, and welcome a diverse cast of expert guests – including frequent appearances by their pet parrot, Yoshi. Data Skeptic also releases two 15-minute “mini shows” every month dedicated to in-depth explanations of topics like using dropouts to combat data overfitting. A great fit for analysts new to the field, and for the data-curious general public.
2. Partially Derivative
Partially Derivative is tailor-made for busy up-and-coming analysts who need a breather from their data science courses or professional work. The show has a laid-back “beer and wine” vibe, with hosts Chris Albion and Jonathan Morgan examining trending topics and current events in the field. Worth a listen by anyone, from curious enthusiasts to senior-level scientists.
3. The Data Show
The Data Show, hosted by O’Reilly Media chief data scientist Ben Lorica, features deep dives into data science topics. From interviews with experts to panel discussions and topic breakdowns, you can count on this podcast for a hard look at the technical details of topics like neural function and virtual reality visualizations. Especially good for veterans in the data science field.
4. IBM Analytics Insights
IBM’s data science podcast is your go-to channel if you want to hear from top players in the world of big data and big business. Expert guests offer deep insight into complex topics, along with stories from their own work in the field. Recent episodes have focused on issues like using cognitive computing to stop cyber criminals and how video analytics can improve a community’s quality of life. The program’s technical depth is geared toward industry veterans, but its topics are interesting enough to keep the layman entertained.
5. Learning Machines 101
If you’ve ever wondered what machine learning is all about, this program is right up your alley. Learning Machines 101 has a dual mission: gently introduce listeners to the world of machine learning, while also embarking on deep examinations of technical topics like “How to Identify Hallucinating Learning Machines Using Specification Analysis.” Perfect for anyone who’s at all curious about one of the hottest subfields in data science today.
The post 5 Data Science Podcasts Worth Tuning Into appeared first on Coursera Blog.
Continue reading...
