AI and ML for Product Management
summary
Overview of concrete claims and demos: a startup is built for intrusion detection using computer vision that classifies ethnicity, age, package-theft and object transformation; a Python NLP API (reproduced as "NL DK") scores sentiment at about 60% positive while a second example flips to 30% positive / 70% negative; an action-recognition model trains on ~25–34 images per gesture and reports 81% confidence for waving. Covers classification, clustering, regression, anomaly detection, recommendations and reinforcement learning with product-focused use cases.
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chapters (11)
- 0:00Intro
- 1:00Demo
- 4:00What is AI
- 6:00Examples of AI
- 8:00Computer Vision
- 10:00Natural Language Processing
- 14:00Computer Vision Analysis
- 18:00Machine Learning vs Traditional Programming
- 20:00Regression
- 22:00Unsupervised
- 24:00Recap
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