Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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The Future of Big Data with O'Reilly's Chief Data Scientist
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Manage episode 243436770 series 1544663
Content provided by Big Data Beard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Big Data Beard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Cory and Brett get to sit down with Mr. @BigData, Ben Lorica, Chief Data Scientist at O’Reilly Media to get a glimpse into the future of AI, ML and Data Science. Ben, who also happens to be the Program Chair for Strata Data, AI Conference and TensorFlowWorld talks about the common challenges he is seeing organizations have in starting and scaling machine learning projects and provides some best practices to take in order not to fall into the same traps as others. The team also gets to hear about some of the trends, tools and technologies on the bleeding edge that are driving huge advancements in machine and deep learning.
207 episodes
M4A•Episode home
Manage episode 243436770 series 1544663
Content provided by Big Data Beard. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Big Data Beard or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Cory and Brett get to sit down with Mr. @BigData, Ben Lorica, Chief Data Scientist at O’Reilly Media to get a glimpse into the future of AI, ML and Data Science. Ben, who also happens to be the Program Chair for Strata Data, AI Conference and TensorFlowWorld talks about the common challenges he is seeing organizations have in starting and scaling machine learning projects and provides some best practices to take in order not to fall into the same traps as others. The team also gets to hear about some of the trends, tools and technologies on the bleeding edge that are driving huge advancements in machine and deep learning.
207 episodes
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