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Podcast Highlights: Data Skeptic

Today’s feature podcast series comes from Data Skeptic which brings you weekly stories on how to understand more about our data-driven world as well as outlooks on topics such as statistics, machine learning, big data, AI and data science.

Podcast Highlights: Data Crunch

Today’s feature podcast series comes from Data Crunch Corporation. The Data Crunch podcast is for those data science, AI, machine learning and deep learning enthusiasts out there who want to know more about the technology’s impact on the world and how it is being utilized in every part of society, from medicine to finance.

Livestream: Global Women in Data Science (WiDS) Conference

insideBIGDATA, a Global Women in Data Science (WiDS) Conference media collaborator, is pleased to present the WiDS Stanford livestream. The Global WiDS Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual one-day technical conference features outstanding women doing outstanding work.

Podcast Highlights: O’Reilly Data Show

Today’s feature podcast series comes from venerable O’Reilly Media that brings us compelling books (with different animals on the cover) on data science, programming, AI, machine learning, etc. The O’Reilly Data Show explores the opportunities and methodologies propelling data science, big data, and AI.

Podcast Highlights: Towards Data Science

Today’s feature podcast series comes from one my favorite data science blogs, Towards Data Science, which has consistently high-quality content to expand your knowledge of the field. Use the link to browse the 21 podcast series. Enjoy!

Data Science at Microsoft – Interviews with Practitioners

In this technical brief I wanted to pass along some great resources in support how data scientists approach their profession and illustrate the kind of background a typical data scientist might have to become successful. insideBIGDATA previously featured four compelling podcast interviews with Microsoft data scientists.

Interview: Matt Winkler, Group Program Manager for Machine Learning at Microsoft

In this podcast interview, we caught up with Matt Winkler, Group Program Manager for Machine Learning at Microsoft, to get his take on the upward trajectory of data science, machine learning and the cloud – specifically Azure. Matt leads a team crafting tools and services to enable data scientists and developers to do more with their data. Originally from St. Louis, Matt has been at Microsoft for 11 years working on developer tools and cloud services such as the .NET Framework, Visual Studio, Azure Websites, Data Lake and HDInsight.

Interview: Jennifer Marsman, Principal Software Development Engineer at Microsoft

In this podcast interview, I caught up with Jennifer Marsman, Principal Software Development Engineer at Microsoft, to find out what it’s like to be a data scientist at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Interview: Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft

In this podcast interview, I caught up with Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft in the Algorithms and Data Science Group within the Cloud and Enterprise Division, to find out about her experience at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Interview: Anusua Trivedi, Data Scientist on Microsoft’s Advanced Data Science & Strategic Initiatives Team

In this podcast interview, I caught up with Anusua Trivedi, a Data Scientist on Microsoft’s ADS team, to get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.