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/BOOKSJoin 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/
Expert Tips on HFT Content with Highest Paying Internship
Insider Insights with Systematic Trading vs Human
Exploring High-Frequency Trading Strategies with TradingView and PineScript
My Journey in Crypto Trading and Shifting Base - Podcast with Brian
AI, Deep HFT, and TradingView Integration
Rediscovering Old HFT Source Code and Research Papers
Let's Keep Trading Advice and Programming Ideas Separate
Seeking Financial Stability Beyond the Western Hemisphere
Leaving Canada for Better Prospects
Unveiling High-Frequency Trading Forecast for Bitcoin and the Roadmap Ahead
Insights, Strategies, And Revealed Plans
AI Replacing Coders & Impact on Tech Jobs
A Technical Perspective
Transitioning to SaaS with Javascript and React
Ready to Dive into Lucrative Crypto Opportunities
The Rise of AI How Everyone Thinks They’re a Programmer But Are They Really
There will be 300 millions jobs cut thanks to AI
Discover Lucrative Crypto and Forex Pairs - Unlock Your Trading Potential!
How To Discover High-Performing Forex, Cryptocurrency, and Stock Reports
Discover TradingView Your One Stop for Auto Trading and More!
Join Podbean Ads Marketplace and connect with engaged listeners.
Advertise Today
Create your
podcast in
minutes
It is Free
The Commercial Edge: Unleash the Power of People
The emPOWERed Half Hour
Aligned Money Show
Dubai Property Podcast
IBKR Podcasts
The Ramsey Show
The Clark Howard Podcast