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Title: GitHub - Shef-AI/MLAI: Machine Learning And Adaptive Intelligence Module · GitHub

Open Graph Title: GitHub - Shef-AI/MLAI: Machine Learning And Adaptive Intelligence Module

X Title: GitHub - Shef-AI/MLAI: Machine Learning And Adaptive Intelligence Module

Description: Machine Learning And Adaptive Intelligence Module. Contribute to Shef-AI/MLAI development by creating an account on GitHub.

Open Graph Description: Machine Learning And Adaptive Intelligence Module. Contribute to Shef-AI/MLAI development by creating an account on GitHub.

X Description: Machine Learning And Adaptive Intelligence Module. Contribute to Shef-AI/MLAI development by creating an account on GitHub.

Opengraph URL: https://github.com/Shef-AI/MLAI

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ModuleDeliveryPlanMLAIAutumn2021.pdfhttps://github.com/Shef-AI/MLAI/blob/master/ModuleDeliveryPlanMLAIAutumn2021.pdf
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READMEhttps://github.com/Shef-AI/MLAI
https://github.com/Shef-AI/MLAI#com45096509-machine-learning-and-adaptive-intelligence---university-of-sheffield
https://github.com/Shef-AI/MLAI#autumn-2021-by-mauricio-a-álvarez-1-5-and-haiping-lu-6-10
Session 6: Logistic regression and PyTorch for deep learninghttps://www.youtube.com/watch?v=hnAoAYSzZYI&list=PLuRoUKdWifzwCTez18kp8qL6WLXZhxtm8
Session 7: Neural networkshttps://www.youtube.com/watch?v=SHw_a3YGwZQ&list=PLuRoUKdWifzxmvxhjjFztwY1kbfp8Pav6
Session 8: Unsupervised learninghttps://www.youtube.com/watch?v=e8FFrxbYECo&list=PLuRoUKdWifzzN88NwRtFL3Cm2VhxUD9zq
Session 9: Generative modelshttps://www.youtube.com/watch?v=c7qt56HH_Wg&list=PLuRoUKdWifzzFL5Am_xk-NDwewFwm1-BM
Session 10: Accessible multimodal/transfer learning with PyKalehttps://www.youtube.com/watch?v=nybYgw-T2bM&list=PLuRoUKdWifzzXGInKdWG2VDeINBJ2MCYq
https://github.com/Shef-AI/MLAI#module-delivery-plan
herehttps://github.com/Shef-AI/MLAI/blob/master/ModuleDeliveryPlanMLAIAutumn2021.pdf
https://github.com/Shef-AI/MLAI#lab-sessions
https://github.com/Shef-AI/MLAI#option-1
Anaconda Navigatorhttps://docs.anaconda.com/anaconda/navigator/
https://github.com/Shef-AI/MLAI#option-2
install Anaconda in your local computerhttps://www.anaconda.com/products/individual
launch Jupyter Notebook using the Anaconda Navigatorhttps://docs.anaconda.com/anaconda/navigator/
https://github.com/Shef-AI/MLAI#option-3
University of Sheffield has a remote desktop servicehttps://www.sheffield.ac.uk/it-services/remote/remote-desktop
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https://github.com/Shef-AI/MLAI#option-4
Google Colabhttps://colab.research.google.com/notebooks/intro.ipynb?utm_source=scs-index
https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%201%20-%20Probability%20and%20Introduction%20to%20Jupyter%20Notebooks.ipynb
https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%202%20-%20End-to-end%20project%20in%20ML.ipynb
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https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%204%20-%20Linear%20Regression.ipynb
https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%205%20-%20Automatic%20Differentiation.ipynb
https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%206%20-%20Logistic%20regression%20%26%20pytorch%20for%20DL.ipynb
https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%207%20-%20Neural%20Networks.ipynb
https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%208%20-%20Unsupervised%20learning.ipynb
https://colab.research.google.com/github/maalvarezl/MLAI/blob/master/Labs/Lab%209%20-%20Generative%20Model.ipynb
this linkhttps://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb#scrollTo=Rmai0dD30XzL
https://github.com/Shef-AI/MLAI#references
https://github.com/Shef-AI/MLAI#introductory-level
https://github.com/Shef-AI/MLAI#intermediate-and-advanced-levels
https://github.com/Shef-AI/MLAI#focus-on-implementation
https://github.com/Shef-AI/MLAI#acknowledgement
material developed by Prof. Neil Lawrencehttp://inverseprobability.com/mlai2015/
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