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@@ -249,9 +249,10 @@ <h4>How will this be assessed?</h4>
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<th style='width:27%'>Content</th>
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<th style='width:12%'>Files</th>
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<th style='width:11%'>Activity</th>
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<th style='width:10%'>Room</th>
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<td rowspan="2">Mon</td>
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<td>10 - 12</td>
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<td>Introduction to Machine Learning </td>
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<td>1: Introduction to Machine Learning</td>
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<td>
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<a target="_blank" class="table-files-link"
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href="https://github.com/ML4NS/ml4ns.github.io/raw/main/slides/01-%20Introduction/Lecture1_Introduction.pptx">
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<td> Lecture</td>
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<a target="_blank" href="https://forms.office.com/r/giifkiSZjv">
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&#9734&#9734&#9734&#9734&#9734
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</a>
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</td>
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<td>P. Barnaghi</td>
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</tr>
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</td>
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<td> Lab </td>
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<a target="_blank" href="https://forms.office.com/r/giifkiSZjv">
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&#9734&#9734&#9734&#9734&#9734
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</a>
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<td>P. Barnaghi</td>
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<td rowspan="2">Tue</td>
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<td>10 - 12</td>
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<td>Linear Models </td>
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<td>2: Linear Models</td>
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<td>
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<a target="_blank" class="table-files-link"
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href="https://github.com/ML4NS/ml4ns.github.io/raw/main/slides/02-%20Regression%20models%20and%20linear%20prediction/ML4NuerScience_Linear_models.pptx">
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</a>
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</td>
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<td> Lecture </td>
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<a target="_blank" href="https://forms.office.com/r/A370pCwixx">
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&#9734&#9734&#9734&#9734&#9734
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</a>
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</td>
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<td>P. Barnaghi</td>
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</a>
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<td> Lab </td>
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<a target="_blank" href="https://forms.office.com/r/A370pCwixx">
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&#9734&#9734&#9734&#9734&#9734
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</a>
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</td>
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<td>P. Barnaghi</td>
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</tr>
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<td rowspan="2">Wed</td>
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<td>10 - 12</td>
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<td>Probability and Information Theory </td>
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<td>3: Probability and Information Theory</td>
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<td>
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<a target="_blank" class="table-files-link"
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href="https://github.com/ML4NS/ml4ns.github.io/raw/main/slides/03-%20Probability%20and%20information%20theory/ML4NuerScience_Probability_info_theory.pptx">
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<td> Lecture </td>
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<a target="_blank" href="https://forms.office.com/r/6RRM6zfnAu">
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&#9734&#9734&#9734&#9734&#9734
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</td>
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<td>P. Barnaghi</td>
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<td rowspan="2">Thur</td>
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<td>10 - 12</td>
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<td>Bayesian Models </td>
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<td>4: Bayesian Models</td>
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<td> Lecture </td>
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&#9734&#9734&#9734&#9734&#9734
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<td rowspan="2">Fri</td>
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<td>10 - 12</td>
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<td>Ensemble Models and Kernel Based Models </td>
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<td>5: Ensemble Models and Kernel Based Models</td>
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<a target="_blank" class="table-files-link"
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href="https://github.com/ML4NS/ml4ns.github.io/raw/main/slides/05-%20Ensemble%20models%20and%20kernel-based%20models/ML4NuerScience_ensemble%20models_kernel_models.pptx">
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&#9734&#9734&#9734&#9734&#9734
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</td>
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<td>P. Barnaghi</td>
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</tr>
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&#9734&#9734&#9734&#9734&#9734
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<td>P. Barnaghi</td>
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<th style='width:27%'>Content</th>
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<th style='width:12%'>Files</th>
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<td rowspan="2">Mon</td>
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<td>10 - 12</td>
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<td>Neural Networks </td>
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<td>6: Neural Networks</td>
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<td>
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<a target="_blank" href="https://forms.office.com/r/YWB1CebreQ">
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&#9734&#9734&#9734&#9734&#9734
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</a>
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</td>
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<td>P. Barnaghi</td>
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<tr>
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<td>1 - 4</td>
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<td>Building and Traning a Simple Neural Network in PyTorch &#9733</td>
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<td>Building and Traning a Simple Neural Network in PyTorch &#9733 &#9830</td>
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<td>
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<a target="_blank" class="table-files-link notebook-link-table"
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href="https://github.com/ML4NS/ml4ns.github.io/blob/main/labs/06%20-%20Neural%20Networks/06%20-%20Neural%20Networks.ipynb">
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&#128435;
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<td> Lab </td>
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<a target="_blank" href="https://forms.office.com/r/YWB1CebreQ">
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&#9734&#9734&#9734&#9734&#9734
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</a>
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</td>
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<td>P. Barnaghi</td>
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</tr>
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<td rowspan="2">Tue</td>
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<td>10 - 12</td>
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<td>Convolutional Neural Networks (CNNs) </td>
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<td>7: Convolutional Neural Networks (CNNs)</td>
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<a target="_blank" class="table-files-link"
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href="https://github.com/ML4NS/ml4ns.github.io/raw/main/slides/07-%20Convolutional%20Neural%20Networks/ML4NuerScience_CNN.pptx">
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<a target="_blank" href="https://forms.office.com/r/TD6gmZ91pT">
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&#9734&#9734&#9734&#9734&#9734
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</a>
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</td>
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<td>P. Barnaghi</td>
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<td rowspan="2">Wed</td>
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<td>Applications and Neuroscience Inspired Machine Learning </td>
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<td>8: Applications and Neuroscience Inspired Machine Learning &#9827</td>
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<td>9: Ethical Considerations and Responsible Machine Learning</td>
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</td>
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<td>Use-case Evaluation &#9733</td>
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<td>10: Use-case Evaluation &#9733</td>
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<p>&#9733: Marked labs; &#128479: Slides; &#128464: Notes; &#128435: Download lab; <img
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class="colab-icon"></img>: Open lab in Colab
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</p>
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<p>&#9830: Guest Lecture: Introduction to Pytorch with Alex Capstick</p>
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<p>&#9827: Guest Lecture: Large Language Models for Electronic Healthcare Records (EHR) Data Analysis with
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Louise
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Rigny (Data Scientist, Great Ormond Street Hospital)</p>
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</div>
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<caption>Week 3 - Starting Monday 29th January</caption>
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</div>
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<div style="margin-top: 2em;">
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<p>
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In March/April 2024 there will be an optional series on Generative AI and Large Language Models (LLMs)
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covering the topics:
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</p>
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<ul>
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<li>
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Variational Auto-encoders
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</li>
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<li>
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Transformers and Large Language Models
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</li>
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<li>
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Diffusion Models
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</ul>
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<p>Last years slides are available at... </p>
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</div>
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The GitHub repository for this course is available here:
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<a target="_blank" class="github-icon-container" href="https://github.com/PBarnaghi/ML4NS">
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<a target="_blank" class="github-icon-container" href="https://github.com/ML4NS/ml4ns.github.io">
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GitHub
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<img class="github-icon"></img>
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</a>

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