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Xero-Hige authored Oct 3, 2024
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| 16-09 | **Entrega TP** _Defensa_ | - | - |
| 19-09 | **Spark I**. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYck1nRMGJFeWIN2W5IrxoLO) | [Video](https://youtu.be/PVrIAUX2eq0) |
| 23-09 | **Spark II**. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYeu_JRN8eQgzJUfaXUrhsk2) | [Video](https://youtu.be/ec9sWPZh_II) |
| 26-09 | **Spark III** | - | [Video](https://youtu.be/6KpSq1zjukA) |
| 30-09 | **Consultas TP** _Spark_ | - | - |
| 26-09 | **Spark III** | - | [Video](https://youtu.be/6KpSq1zjukA) |
| 30-09 | **Consultas TP** _Spark_ | - | - |
| 03-10 | **Compresión e IA**: Compresión sin pérdida, Complejidad de Kolmogorov, Teoría de la información, Inducción de Solomonoff, Compresión con pérdida. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYfKGWLlVG8J86OzRgJ8NLcJ) | - |
| 07-10 | **Consultas TP** _Spark_ | - | - |
| 10-10 | **Entrega TP1** | | - |
| TBA | **Machine Learning I**. Teoría de Machine Learning. Clasificación y Regresión. Linear y Logistic Regression. KNN. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYesnp_BG0RejQCfHnlthj-5) | - |
| TBA | **Machine Learning II**. El problema de representación. Feature Engineering y casos de estudio | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYf9JstrrlXBf_SSg66aEJQk) | - |
| TBA | **Machine Learning III**. Árboles | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYeJQb-M1nE_cnj43uOKZtf2) | - |
| TBA | **Machine Learning IV**. Deep Learning. **Enunciado TP2** | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYeMhP2KGFWFHNDesRCyRB5j) | - |
| TBA | **NLP II**: RNNs, Convs 1D, Word embeddings, Fasttext, Char embeddings | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYc3ZKiKx5GJVHc1Qwsejgmx) | - |
| TBA | **Gen-AI**: Texto e Imagenes | [Lectura](https://drive.google.com/file/d/1GEA-D-8802wsDNNPlYXE7IyeV8fwbuid/view?usp=sharing)| - |
| TBA | **Reducción de Dimensiones**. PCA/SVD - LSI - Autoencoders - TSNE - UMAP. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYeTvoYdNOR9alvMUMfwq-1Z) | - |
| TBA | **Clustering**. Clustering jerárquico. K-Means, K-Means online, K-Means++, Clustering espectral. DBScan y HDBScan. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYd6IYbQsMwPSIbDNGsuqByW) | - |
| TBA | **Fairness** | [Clase Vieja](https://www.youtube.com/watch?v=9VdieuHf3ik) | - |
| TBA | Repaso general / consultas final | | - |
| 07-10 | **Consultas TP** _Spark_ | - | - |
| 10-10 | **Entrega y Defensa TP1** | - | - |
| 14-10 | **Machine Learning I**. Teoría de Machine Learning. Clasificación y Regresión. Linear y Logistic Regression. KNN. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYesnp_BG0RejQCfHnlthj-5) | - |
| 17-10 | **Machine Learning II**. Árboles | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYeJQb-M1nE_cnj43uOKZtf2) | - |
| 21-10 | **Machine Learning III**. El problema de representación. Feature Engineering y casos de estudio | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYf9JstrrlXBf_SSg66aEJQk) | - |
| 24-10 | **Consultas TP** _Analisis de Features_ | - | - |
| 28-10 | **Machine Learning + NLP I**. Deep Learning, Embeddings. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYeMhP2KGFWFHNDesRCyRB5j) | - |
| 31-10 | **Machine Learning Practico** Desarrollo de un caso de estudio. | - | - |
| 04-11 | **Machine Learning + NLP II**: Redes de Convolucion, W2V, Tranformers y Sentence Transformers | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYc3ZKiKx5GJVHc1Qwsejgmx) | - |
| 07-11 | **Gen-AI I**: LLMs y RAG | [Lectura](https://drive.google.com/file/d/1GEA-D-8802wsDNNPlYXE7IyeV8fwbuid/view?usp=sharing) (Primera Parte) | - |
| 11-11 | **Consultas TP** _Modelos de Machine Learning_ | - | - |
| 14-11 | **Reducción de Dimensiones**. PCA/SVD - LSI - Autoencoders - TSNE - UMAP. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYeTvoYdNOR9alvMUMfwq-1Z) | - |
| 18-11 | **FERIADO** | - | - |
| 21-11 | **Clustering**. Clustering jerárquico. K-Means, K-Means online, K-Means++, Clustering espectral. DBScan y HDBScan. | [Playlist](https://www.youtube.com/playlist?list=PLeo_qKwGPZYd6IYbQsMwPSIbDNGsuqByW) | - |
| 25-11 | **Consultas TP** _TP Final_ | - | - |
| 28-11 | **Gen-AI II**: Modelos de difusion, CLIP, Modelos multimodal | [Lectura](https://drive.google.com/file/d/1GEA-D-8802wsDNNPlYXE7IyeV8fwbuid/view?usp=sharing) (Segunda Parte) | - |
| 02-12 | **Entrega y Defensa final del TP**
| 05-12 | Repaso general / consultas final | - | - |
| 09-12 | Final (Presencial) - Recuperatorio Defensa TP | - | - |

## Clases prácticas grabadas

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