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b"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.\\nGET SOME FREE TRADING TECH BOOK PDFS\\xa0HTTP://QUANTLABS.NET/BOOKS\\nJoin our Discord for quant trading and programming news\\xa0https://discord.gg/k29hRUXdk2\\nDon\\u2019t forget to subscribe to my Substack for more trading tips and strategies! Let\\u2019s keep learning and growing together.\\xa0https://quantlabs.substack.com/\\nThe 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.\\nBrian 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.\\nThis 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.\\n\\xa0\\nmedium.com/machinevision/overview-of-mlops-a07053fc2a80\\nreddit.com/r/coding/comments/1bd4w76/what_are_best_practices_for_machine_learning/"