~/talk

Teaching ML and AI to Coders

Talkat ML Conf EU 2020 · 2020-11-05..11-06· [machine-learning]
slides:none on file

Explains a concrete program: a TensorFlow syllabus turned into three MOOCs (with deeplearning.ai), a YouTube channel, hands‑on codelabs, university partnerships and bootcamps — Bangkit academy (300 students) and employer‑backed cohorts — that aim to scale developers into ML practitioners. Claims measurable reach: about 600,000 learners on the specializations, an employment-oriented developer certificate with ~1,200 holders, and direct deployment tooling (TensorFlow mobile, JS, embedded) to move models from code to production.

AI-written summary · about

  1. 0:00Intro
  2. 0:58The Life Cycle Curve
  3. 2:45The number of AI practitioners
  4. 4:39Making AI easy
  5. 14:23Results
  6. 22:34TensorFlow vs PyTorch
  7. 24:48Practice Practice Practice
  8. 27:18How to Get Started
  9. 29:48Questions
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