Difference between revisions of "Podcasts"

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The latest Nielsen stats show that half of all U.S. households consider themselves to be fans of at least one podcast, with 22% of these people identifying as “avid fans.”[http://www.rollingstone.com/culture/culture-news/podcast-how-to-start-best-equipment-804418/ How to Start a Podcast: 7 Things These Experts Say You’ll Need | Tim Chan - RollingStone] ...Three popular podcast hosts tell us how they started their podcasts, the equipment they use, and tips for keeping your audience entertained
 
The latest Nielsen stats show that half of all U.S. households consider themselves to be fans of at least one podcast, with 22% of these people identifying as “avid fans.”[http://www.rollingstone.com/culture/culture-news/podcast-how-to-start-best-equipment-804418/ How to Start a Podcast: 7 Things These Experts Say You’ll Need | Tim Chan - RollingStone] ...Three popular podcast hosts tell us how they started their podcasts, the equipment they use, and tips for keeping your audience entertained
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<youtube>8J7y513oSsE</youtube>
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<b>Accurately Automating Dataset Labelling Using [[Amazon]] SageMaker GroundTruth (Level 200)
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</b><br>Learn more about AWS Innovate Online Conference at – https://amzn.to/2WEdJhy
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Successful machine learning models are built on high-quality training datasets. Labeling raw data to get accurate training dataset involves a lot of time and effort, because sophisticated models can require thousands of labeled examples to learn from, before they produce good results. Typically, the task of labeling is distributed across large number of humans, adding significant overheads and costs. In this session, learn how [[Amazon]] SageMaker Ground Truth can solve data labeling problems, build highly-accurate training datasets, and achieve automated labeling. Speaker: Will Badr, Senior Technical Account Manager, AWS Enterprise Support, ANZ
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<youtube>htgVJ5Qh7uA</youtube>
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<b>Week 6: Ground Truth
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</b><br>Ryan Baker discusses ground truth for week 6 of DALMOOC
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Revision as of 13:44, 19 December 2021

Youtube search... ...Google search


Producing Your Podcast

Youtube search... ...Google search

The latest Nielsen stats show that half of all U.S. households consider themselves to be fans of at least one podcast, with 22% of these people identifying as “avid fans.”How to Start a Podcast: 7 Things These Experts Say You’ll Need | Tim Chan - RollingStone ...Three popular podcast hosts tell us how they started their podcasts, the equipment they use, and tips for keeping your audience entertained

Accurately Automating Dataset Labelling Using Amazon SageMaker GroundTruth (Level 200)
Learn more about AWS Innovate Online Conference at – https://amzn.to/2WEdJhy Successful machine learning models are built on high-quality training datasets. Labeling raw data to get accurate training dataset involves a lot of time and effort, because sophisticated models can require thousands of labeled examples to learn from, before they produce good results. Typically, the task of labeling is distributed across large number of humans, adding significant overheads and costs. In this session, learn how Amazon SageMaker Ground Truth can solve data labeling problems, build highly-accurate training datasets, and achieve automated labeling. Speaker: Will Badr, Senior Technical Account Manager, AWS Enterprise Support, ANZ

Week 6: Ground Truth
Ryan Baker discusses ground truth for week 6 of DALMOOC

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