The ML Mindset for Managers

on YouTube ↗44m

" summary

Contrasts explicit rules with models that learn, showing an Atari agent that goes from random to flawless play after ~120 minutes and discovers a novel strategy by ~240 minutes, a pizza image classifier that trains at 92% but tests at 75% until feature engineering changes accuracy, and a prototype cloud classifier built with AutoML that runs on onboard images to predict turbulence. Emphasizes pragmatic choices: start without ML, log metrics from day one, use 80/20 split and iteratively validate models with humans in the loop.

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" chapters (5)

1. 0:00Start
2. 0:47In this session we shall discuss: What is Machine Learning? How ML is different from normal software development? How to represent physical problems in data? The ML mindset for Managers - dos, don'ts & where to focus on? • How managers should start thinking about ML in their products?
3. 16:48In this session we shall discuss: • What is Machine Learning? • How ML is different from normal software development? How to represent physical problems in data? • The ML mindset for Managers - dos, don'ts & where to focus on? • How managers should start thinking about ML in their products?
4. 17:18The Mindset! (1 of 2) 1 Don't be afraid to launch a product without machine learning 2. Identify and articulate your problem that cannot be solved using tradition programming models 2. Predictions vs. Decisions - Aim to make decisions, not just predictions
5. 43:16Set up principles to use Al in your Org • Al and other advanced technologies will empower people, widely benefit current and future generations, and work for the common good.

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