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

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10 tips I wish I had known
before I started a data Journey

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1) Context: how did we end up here?
1. Digitalization
2. Decrease of disk storage price
3. Internet: s...

2) It’s all about dimensions
(1) Data Representation
An algorithm will try to make sense
over these dimensions
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3) Making sense over dimensions
-> Training an algorithm
Input
Logistic SVM RF
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· And each algorithm will...

3) Making sense over dimensions
-> Training an algorithm
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Real Value
Predicted Value
Variables /
Dimens...

4) Clever data over complex algorithms
(1) Feature Engineering
New dimensions to help the
algorithm. Ensembles,
stacking, ...

5) There is NOT a ML problem waiting for you
Rule of thumb to approach the suffering
you will have, regarding interview
se...

6) Build end-to-end, iterate fast, communicate
(1) Data
(2) Algorithm
(3)
Prediction
(4) Deploy
Show me your repo!
Hackath...

7) Open Source, this is not a religion
Old Enterprise software Open Source Language Framework
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8) Learn everyday & deal with impostor syndrome
How to stay up to date
• Twitter
• Whatsapp
• Slack
• Arxiv
• Comunidad
• ...

9) Be Humble
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Carlos Bort
Currently in
FanBoy Mode
Trevor Hastie
World Known
Statistician

10) Future, professions and topics
Professions / Specialization Causality
Causality and the directionality of variables
1....

Reflexion
Humans learn
day by day
Source: OprenAI Blog
https://openai.com/blog/openai-five/
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WAYRA – Gran Vía 28;
Floor 8 – 28013 Madrid;
info@xplore.ai;
Lessons Learned:
1. Context: data, computing power, ML
2. Thi...

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