80 lines
6.5 KiB
Markdown
80 lines
6.5 KiB
Markdown
# AI
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## [Introduction to AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md)
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- Wetin AI mean
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- History of AI
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- Ways to take do AI
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- Top-down/Symbolic
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- Bottom-up/Neural
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- Evolutionary
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- Synergetic / Emergent AI
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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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## [Symbolic AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md)
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- How to show Knowledge
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- [Expert Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb)
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- [Ontologies](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb)
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- Semantic Web
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## [Neural Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md)
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- [Perceptron](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md)
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- [Multi-Layered Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md)
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- [Intro to 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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- [Overfitting](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md)
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## [Computer Vision](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/README.md)
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- For MS Learn
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- [AI Fundamentals: Explore Computer Vision](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste)
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- [CV with PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste)
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- [CV with TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)
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- [Intro to CV. OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md)
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- [Convolutional Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md)
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- [CNN Architectures](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md)
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- [Trasnsfer Learning](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md)
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- [Training Tricks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md)
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- [Autoencoders and VAEs](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md)
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- [Generative Adversarial Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md)
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- [Style Transfer](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb)
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- [Object Detection](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md)
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- [Segmentation](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md)
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## [Natural Language Processing](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/README.md)
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- For MS Learn
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- [AI Fundamentals: Explore NLP](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste)
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- [NLP with PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste)
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- [NLP with TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste)
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- [Text Representation](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md)
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- Bag of Words
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- TF/IDF
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- [Semantic Embeddings](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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- [Language Modeling](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling)
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- [Recurrent Neural Networks](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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- [Generative Recurrent Networks](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md)
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- [Transformers and BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md)
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- [Named Entity Recognition](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md)
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- [Text Generation and GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md)
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## Other Techniques
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- [Genetic Algorithms](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md)
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- [Deep Reinforcement Learning](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md)
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- [Multi-Agent Systems](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md)
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## [AI Ethics](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md)
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- [MS Learn on Responsible AI](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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- [Multimodal Networks](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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**Disclaimer**:
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Dis document don get translation wen AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do. Even tho we dey try make am correct, abeg sabi say automated translations fit get mistake or no too correct. Di original document wey dey im own language na im be di real correct source. For important information, make person wey sabi human translation do am. We no go responsible for any misunderstanding or wrong meaning wey fit show from using dis translation.
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