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Are these the best practices for machine learning operations

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Manage episode 406264307 series 3426945
A tartalmat a QuantLabs.net biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a QuantLabs.net vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Welcome to another exciting episode with Brian from quantlabs.net. Recorded on the 13th of March, noontime, this engaging and enlightening talk revolves around machine learning and the best practices in engineering with machine learning. Although Brian admits to not being an expert, he invites listeners, even those who may not find the subject generally useful, to engage with him as he explores this intriguing world.

GET SOME FREE TRADING TECH BOOK PDFS HTTP://QUANTLABS.NET/BOOKS

Join our Discord for quant trading and programming news https://discord.gg/k29hRUXdk2

Don’t forget to subscribe to my Substack for more trading tips and strategies! Let’s keep learning and growing together. https://quantlabs.substack.com/

The podcast delves into an article originally discovered on Reddit, within the toting subreddit. Another piece of content that sparks discussion is an article from Medium.com penned by Luis Bermondes which gives an overview of ML Ops (Machine Learning Operations). Of particular interest is a diagram depicting the ML op stack and the direction it operates in.

Brian undertakes a comprehensive walkthrough of the ML Ops stack, pointing out key areas such as the Data Collection, Experimentation, Evaluation, and Maintenance. He additionally highlights the right-hand side of the diagram, ascending from Infrastructure layer, Component layer, Pipeline layer, to Run layer.

This episode invites listeners to join the conversation about machine learning and artificial intelligence by sharing their insights and comments through various platforms. Brian encourages feedback and insights via his discord community, email, his website, or social media. Everyone is urged to share their thoughts whether they consider themselves 'novices' or experts in the field, contributing to this fascinating exploration.

medium.com/machinevision/overview-of-mlops-a07053fc2a80

reddit.com/r/coding/comments/1bd4w76/what_are_best_practices_for_machine_learning/

  continue reading

100 epizódok

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iconMegosztás
 

Archivált sorozatok ("Inaktív feed" status)

When? This feed was archived on May 12, 2025 09:08 (7M ago). Last successful fetch was on June 25, 2024 20:38 (1+ y ago)

Why? Inaktív feed status. A szervereink huzamosabb ideig nem tudtak érvényes podcast-feedet megjeleníteni.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 406264307 series 3426945
A tartalmat a QuantLabs.net biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a QuantLabs.net vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Welcome to another exciting episode with Brian from quantlabs.net. Recorded on the 13th of March, noontime, this engaging and enlightening talk revolves around machine learning and the best practices in engineering with machine learning. Although Brian admits to not being an expert, he invites listeners, even those who may not find the subject generally useful, to engage with him as he explores this intriguing world.

GET SOME FREE TRADING TECH BOOK PDFS HTTP://QUANTLABS.NET/BOOKS

Join our Discord for quant trading and programming news https://discord.gg/k29hRUXdk2

Don’t forget to subscribe to my Substack for more trading tips and strategies! Let’s keep learning and growing together. https://quantlabs.substack.com/

The podcast delves into an article originally discovered on Reddit, within the toting subreddit. Another piece of content that sparks discussion is an article from Medium.com penned by Luis Bermondes which gives an overview of ML Ops (Machine Learning Operations). Of particular interest is a diagram depicting the ML op stack and the direction it operates in.

Brian undertakes a comprehensive walkthrough of the ML Ops stack, pointing out key areas such as the Data Collection, Experimentation, Evaluation, and Maintenance. He additionally highlights the right-hand side of the diagram, ascending from Infrastructure layer, Component layer, Pipeline layer, to Run layer.

This episode invites listeners to join the conversation about machine learning and artificial intelligence by sharing their insights and comments through various platforms. Brian encourages feedback and insights via his discord community, email, his website, or social media. Everyone is urged to share their thoughts whether they consider themselves 'novices' or experts in the field, contributing to this fascinating exploration.

medium.com/machinevision/overview-of-mlops-a07053fc2a80

reddit.com/r/coding/comments/1bd4w76/what_are_best_practices_for_machine_learning/

  continue reading

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