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# System prepended metadata

title: AutoML Links

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# AutoML Links

## Notebook de Patri 

https://colab.research.google.com/drive/180MmfJZcVG9COCPJEEEYebIrfoiaAzFA?usp=sharing

Slides del profe:
**Día 1** 
https://docs.google.com/presentation/d/1OFchX_9b5cuxKobiqBoXkIMB96lCGVSSvEoHqAiWib0/edit?usp=sharing

**Día 2**
https://docs.google.com/presentation/d/1ZSKQZxaz_V_kAgGSPqmU2hq-QXaFXxA4-lRCl5tQa0E/edit?usp=sharing 

**Grupos armados**
https://docs.google.com/spreadsheets/d/1vDSMBZ3L7520gTacTFmlTvHSq0Aj4nvJlxOX77w04Hk/edit?usp=sharing 


**Nuestras slides:**
https://docs.google.com/presentation/d/1CsY4TukpSrIxphBlQxMAhB1jZybtZYiVt75s0Zf7n_w/edit#slide=id.gb21e5d6fee_0_15 


**Notebook de Python (que compartio el compañero)**
https://colab.research.google.com/drive/1Au5sGCegoGLLxqrIs85GCCW0oWIHqwQw#scrollTo=0i3oHFF5qgGO




## Links importantes
[AutoML-Freiburg-Hannover](https://www.automl.org/)

*  Repo en GitHub: https://github.com/automl
*  Canal de Youtube 
https://www.youtube.com/channel/UCFFqgQoJlPh55Dk56C1u7iQ 

**AutoDL challenge**
https://autodl.chalearn.org/ 

**Optimización Bayesiana** 
https://distill.pub/2020/bayesian-optimization/ 

**Awesome AutoDL (lista de recursos con papers y links de GitHub)**
https://github.com/D-X-Y/Awesome-AutoDL 

**AutoML Virtual Seminars**
https://automl-seminars.github.io/ 

**Videos del ICML 2020 (uno de los congresos TOP de ML)**
https://slideslive.com/icml-2020/7th-icml-workshop-on-automated-machine-learning-automl-2020 

### Código de Medium

AutoML — Machine learning in just 5–10 lines of code for people who does not know Machine Learning
https://medium.com/@chauhanrutvik21r/automl-machine-learning-in-just-5-10-lines-of-code-for-people-who-does-not-know-machine-learning-3027ec37ee40







