10 tips I wish I had known before I started a data Journey [ENG]

AI Saturdays is an incredible project I am very proud to collaborate with. Our main goal is, “empower diverse individuals to learn Artificial Intelligence in a collaborative and project-based way”.

As co-organizer of the Madrid chapter, I had the honor of giving the opening keynote for the 3rd edition. The talk was 10 tips I wish I had known before I started a data Journey.

Here are the 10 tips:

  1. Context: data, computing power, ML
  2. Think in a dimensional way
  3. Make sense over dimensions -> Algorithm
  4. Clever data over complex algorithms
  5. There is NOT a ML problem waiting for you
  6. Build end-to-end and iterate fast
  7. Open Source, this is not a religion
  8. Learn everyday & deal with the impostor syndrome
  9. Be Humble
  10. Future: Causal Inference, ML Engineer & mix profiles

A summary blogpost + Slides

10 tips I wish I had known before starting a Data Journey

At some point, it looked like all of the sudden most of the companies had a strong interest in "Big Data".


A tweet during the kick-off of the 3rd edition of AI Saturdays👇



Written on September 1, 2020 - Data Strategy, AI Saturdays - Post

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