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Quant Pipeline
Manage episode 360953684 series 2936468
Content provided by Dimitri Bianco. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dimitri Bianco 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://player.fm/legal.
Building a quant team, a data science team, or just an analytics team is challenging. Online there are many stories of why data science teams fail however all roles that build models or predict values using data run into similar issues. Getting a full pipeline from data to results requires a lot of pieces including data quality, training, hiring, external education, and process support. It takes more than a rockstar quant to get everything put together and running. Many teams fail because of the pieces is missing or not developed which could be due to a lack of resources or just not knowing they need it.
Chapters
1. Quant Pipeline (00:00:00)
2. [Ad] The Multiverse Employee Handbook (00:12:05)
3. (Cont.) Quant Pipeline (00:12:44)
114 episodes
Share
Manage episode 360953684 series 2936468
Content provided by Dimitri Bianco. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dimitri Bianco 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://player.fm/legal.
Building a quant team, a data science team, or just an analytics team is challenging. Online there are many stories of why data science teams fail however all roles that build models or predict values using data run into similar issues. Getting a full pipeline from data to results requires a lot of pieces including data quality, training, hiring, external education, and process support. It takes more than a rockstar quant to get everything put together and running. Many teams fail because of the pieces is missing or not developed which could be due to a lack of resources or just not knowing they need it.
Chapters
1. Quant Pipeline (00:00:00)
2. [Ad] The Multiverse Employee Handbook (00:12:05)
3. (Cont.) Quant Pipeline (00:12:44)
114 episodes
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Similar to Talking Tuesdays with Fancy Quant
Interviews with mathematics education researchers about recent studies. Hosted by Samuel Otten, University of Missouri. www.mathedpodcast.com Produced by Fibre Studios
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…
continue reading
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…
continue reading
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…
continue reading
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
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