Solving MLOps from First Principles with Dean Pleban
Struggling to choose the right tools for your data team's workflow? You're not alone. In this talk, Dean Pleban dives deep into the heart of MLOps challenges, shedding light on the overwhelming "MLOps Fatigue" many face today. Instead of pushing specific tools, Dean offers guidelines and mental models to help you analyze your team's problems and select the best solutions. With practical examples and a focus on Open Source tools, this talk provides a robust framework for tackling current and future MLOps issues. Perfect for those immersed in machine learning, data science, and AI, this is a must-watch for data teams aiming to streamline their workflows and make informed decisions.
So cut through the buzzwords and marketing hype to find real value in your MLOps stack. Whether you're dealing with machine learning training, data visualization, or natural language processing, this talk equips you with the strategies to avoid buyer's remorse and enhance your data engineering practices.
#MLOps #MachineLearning #DataScience #AI #ArtificialIntelligence #DataEngineering #OpenSource #MachineLearningTraining #NLP #NaturalLanguageProcessing #DataVisualization #DeepLearning #ODSC
Timecodes:
0:00 - Intro
2:42 - About the speaker
3:39 - Frist Principles Thinking
5:14 - 4 Stages of Grief
9:06 - Assumptions about the SOLUTION
15:23 - Step 1 Define the Problem
16:32 - Step 2 Define the problem parameters
20:12 - Step 3 - Google the problem
25:20 - Step 4 - Evaluate solutions
29:00 - Step 5 - Integrate
32:25 - Questions
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