📒 Cuadernos

1. Introducction to AI software	🐍 Python
	🐼 Pandas
	📊 Seaborn
	💡 Scikit-learn

2. Tabular data for clasification Dataset: Titanic Reto: Beer types 🍺	📊 EDA: Simple
	🌳 Decission Tree Classifier
	🌲 Random Forest Classifier
	🌴 Gradient Boosting Classifier
	📏 Logistic Regression
	🧠 Neural Network Classifier

3. Tabular data for regression Dataset: House prices Reto: Car prices 🚗	📊 EDA: Simple
	🌀 EDA: Dimensionality Reduction
	📏 Linear Regression
	📏 Regularized Linear Regression
	📏 Polynomial Regression
	🧠 Neural Network (Fast.ai v1)
	✨ Clustering (K-Means, DBSCAN)

4. Natual Language Processing Dataset: Movie reviews Reto: Disaster tweets	🛍️ Bag of words + Linear model
	📋 Tf-idf + Linear model
	💬 Word embeddings
	🔤 Recurrent Neural Networks
	🤖 Transformers

5. Time series 🕐 Dataset: Future sales Reto: ...	5.1 Prophet: Walmart
	5.2 Prophet: Medium posts
	5.3 Ejercicio en Kaggle

6. Vision Dataset: ... Reto: ...	🖼 Image classification (Fast.ai v1)
	🔍 Image Localization (Fast.ai v1)
	✂️ Image Segmentation (Fast.ai v1)

• ✨ Recommenders
  • Recommender systems
  • Next Product to Buy (NPtB)
  • Collaborative Filtering

7. Create your dataset	🖼 Pictures from Google Images
	🌐 Web scrapping (Beautiful soup)

🗓️ Agenda

Sesión	Día	Tema	Charla
1	1 Feb	AI Software	Pepe Palma (UM) y Andrés Torrubia (Kaggle)
2	8 Feb	Tabular data (clas)	Projects brainstorming
3	15 Feb	Tabular data (regr)	Ángel Esteba (IMIB)
4	22 Feb	Time series	Antonio Vicente (AI Talentum)
5	29 Feb	NLP	Fernando y Mª José (Vocali), Nicolás (UCAM)
6	7 Mar	Vision 1	Jose Javier (Kaggle)
7	14 Mar	Vision 2	Rubén (Biyectiva)
8	28 Mar	Project	Biología y sanidad (UCAM)
9	4 Abr	Project	Alberto Valera (Bankiter)
10	25 Abr	Project	Antonio Terrones (Ética en la IA)
11	9 May	Project	Alberto Granero (Telefonica)
12	16 May	Project	Raquel Aullón (Comunicación Oral)
13	23 May	Demo Day	Vosotros ;)

🛠 Projects

Aqui se irán poniendo los proyectos asignados. Ver ideas.

📚 Aprender más:

• Kaggle learn (Dificultad: Fácil)
• Fast.ai
  • Machine Learning (Dificultad: Fácil)
  • Deep learning práctico (Dificultad: Media)
  • Deep learning avanzado (Dificultad: Avanzado)
  • NLP (Dificultad: Media)
• Mlcourse.ai (Dificultad: Media-Avanzado) (🇷🇺 Calidad rusa)
  • Medium articles
• Coursera: How to Win Kaggle Competitions (Dificultad: Media-Avanzado) (🇷🇺 Calidad rusa)
  • Playlist en Youtube
• Standford winter 2019 courses
  • CS221 Artificial Intelligence
  • CS229 Machine Learning
  • CS230 Deep Learning
  • CS224N: NLP with Deep Learning
• Other:
  • Torrubia repos
  • Albert's toolkit
  • SaturdaysAI Itinerario ML
  • Awesome ML repo
  • How to Rank 10% in Your First Kaggle Competition
• ./missing-semester: Curso sobre sistemas, no IA