80 lines
6.8 KiB
Markdown
80 lines
6.8 KiB
Markdown
# IA
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## [Introducción a la IA](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
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- Definición de IA
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- Historia de la IA
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- Enfoques de la IA
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- De arriba hacia abajo/Simbólica
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- De abajo hacia arriba/Neural
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- Evolutiva
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- Sinérgica / IA Emergente
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- [Microsoft AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste)
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## [IA Simbólica](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
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- Representación del Conocimiento
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- [Sistemas Expertos](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
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- [Ontologías](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
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- Web Semántica
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## [Redes Neuronales](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md)
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- [Perceptrón](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md)
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- [Redes Multicapa](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md)
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- [Introducción a Frameworks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md)
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- [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb)
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- [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md)
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- [Sobreajuste](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)
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## [Visión Computacional](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/README.md)
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- En MS Learn
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- [Fundamentos de IA: Explorando la Visión Computacional](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
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- [Visión Computacional con PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
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- [Visión Computacional con TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
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- [Introducción a la Visión Computacional. OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
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- [Redes Convolucionales](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
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- [Arquitecturas CNN](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
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- [Aprendizaje por Transferencia](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md)
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- [Trucos de Entrenamiento](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
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- [Autoencoders y VAEs](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
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- [Redes Generativas Antagónicas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
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- [Transferencia de Estilo](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
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- [Detección de Objetos](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
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- [Segmentación](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
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## [Procesamiento de Lenguaje Natural](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/README.md)
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- En MS Learn
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- [Fundamentos de IA: Explorando PLN](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
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- [PLN con PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
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- [PLN con TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
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- [Representación de Texto](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
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- Bolsa de Palabras
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- TF/IDF
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- [Embeddings Semánticos](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md)
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- Word2Vec
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- GloVE
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- [Modelado del Lenguaje](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling)
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- [Redes Neuronales Recurrentes](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/README.md)
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- LSTM
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- GRU
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- [Redes Recurrentes Generativas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
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- [Transformers y BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
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- [Reconocimiento de Entidades Nombradas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
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- [Generación de Texto y GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)
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## Otras Técnicas
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- [Algoritmos Genéticos](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md)
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- [Aprendizaje Profundo por Refuerzo](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
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- [Sistemas Multiagente](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)
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## [Ética en la IA](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md)
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- [MS Learn sobre IA Responsable](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste)
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## Extras
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- [Redes Multimodales](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md)
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- [CLIP](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb)
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- DALL-E
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- VQ-GAN
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---
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**Descargo de responsabilidad**:
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