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<!DOCTYPE html>
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<title>Lectures | TJ Machine Learning Club</title>
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<h1 class="project-name" style="color:#fff">TJ Machine Learning Club</h1>
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<a id="welcome-to-tjhsst-machine-learning" class="anchor" href="#welcome-to-tjhsst-machine-learning" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Schedule</h3>
We're currently updating our lectures for 2017-2018. Here is our approximate schedule and material we've created so far. Check out last year's schedule <a href="old.html">here</a>.
<br><br>
<table style="width:100%">
<tr>
<th>Date</th>
<th>Description</th>
<th>Course Materials</th>
</tr>
<tr>
<td>September 13, 2017</td>
<td><a href="lectures/overview/overview.html">Machine Learning Club: Overview</a></td>
<td>
<a href="lectures/overview/overview.pdf" target="_blank">PDF</a>
</td>
</tr>
<td colspan="3" style="text-align: center" id="intro"><strong><br>The Basics</strong></td>
<tr>
<td>September 20, 2017</td>
<td><a href="lectures/intro/intro.html">Introduction to Machine Learning</a></td>
<td>
<a href="lectures/intro/intro.pdf" target="_blank">PDF</a>
</td>
</tr>
<tr>
</tr>
<tr>
<td>September 20, 2017</td>
<td><a href="lectures/dct/decision.html">Decision Trees</a></br>
Decision Trees: Part 2
</td>
<td>
<a href="lectures/dct/decision.pdf" target="_blank">PDF</a><br>
<a href="lectures/dct/decision2.pdf" target="_blank">PDF Part 2</a><br>
<a href="https://www.kaggle.com/t/cb7c483774b8408582fd138a3a49b0d4" target="_blank">Competition</a><br>
<a href="contests/dct/IO_sample.py.txt" target="_blank">Sample IO Code</a><br>
<a href="lectures/dct/quiz.pdf" target="_blank">Quiz</a>
</td>
</tr>
<tr>
<td>September 27, 2017</td>
<td><a href="lectures/rf/rf.html">Random Forests</a></td>
<td>
<a href="lectures/rf/randomforests.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/t/458d4811158b4d15a0c4e337189608ac" target="_blank">Competition</a><br>
<a href="contests/rf/IO_sample.py.txt" target="_blank">Sample IO Code</a><br>
<a href="contests/rf/shell.py.txt" target="_blank">Shell Code</a><br>
</td>
</tr>
<tr>
<td>October 4th, 2017</td>
<td><a href="lectures/svm/svm.html">Support Vector Machines</a></td>
<td>
<a href="lectures/svm/svm.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/t/84362979276c4a219871ba63161aadcc" target="_blank">Competition</a><br>
<a href="http://scikit-learn.org/stable/modules/svm.html" target="_blank">Scikit Tutorial</a>
</td>
</tr>
<tr>
<td>March 14th, 2018</td>
<td>Naive Bayes</td>
<td>
<a href="lectures/bayes/bayes.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>March 14th, 2018</td>
<td>k-Means Clustering</td>
<td>
<a href="lectures/kmeans/kmeans.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<td colspan="3" style="text-align: center" id="nn"><strong><br>Neural Networks</strong></td>
<tr>
<td>October 18th, 2017</td>
<td><a href="lectures/nn1/nn1.html">Neural Networks: Intro & Overview</a></td>
<td>
<a href="lectures/nn1/nn1.pdf" target="_blank">PDF</a><br>
<a href="lectures/nn1/Problem_Set_1.pdf" target="_blank">Problem Set</a><br>
<a href="lectures/nn1/pset_instructions.txt" target="_blank">Pset info</a>
</td>
</tr>
<tr>
<td>October 25th, 2017</td>
<td><a href="lectures/nn2/nn2.html">Neural Networks: Forward & Backpropagation</a></td>
<td>
<a href="lectures/nn2/nn2.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>November 1st, 2017</td>
<td><a href="lectures/nn3/nn3.html">Neural Networks: Mathematics of Backpropagation</a></td>
<td>
<a href="lectures/nn3/nn3.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/c/nncontest3" target="_blank">Competition</a><br>
<a href="lectures/nn3/nn_shell.py.txt" target="_blank">Shell Code</a><br>
</td>
</tr>
<tr>
<td>November 15th, 2017</td>
<td><a href="lectures/nn4/nn4.html">Neural Networks: Hyperparameters and Network Tuning</a></td>
<td>
<a href="lectures/nn4/nn4.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/c/nncontest3" target="_blank">Competition</a><br>
</td>
</tr>
<tr>
<td>November 17th, 2017</td>
<td>Neural Networks: A High-Level Overview (Workshop)</td>
<td>
<a href="lectures/nn5/nn5.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>November 17th, 2017</td>
<td><a href="lectures/library/keras.html">Introduction to Keras</a></td>
<td>
<a href="lectures/library/keras.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/c/neuralnetworkbasic1" target="_blank">Competition 1</a><br>
<a href="https://www.kaggle.com/c/neural-networks-basics-2" target="_blank">Competition 2</a><br>
<a href="contests/keras/IO_sample.py.txt" target="_blank">Sample IO Code</a><br>
</td>
</tr>
<td colspan="3" style="text-align: center" id="cnn"><strong><br>Convolutional Neural Networks and Image Processing</strong></td>
<tr>
<td>November 17th, 2017</td>
<td><a href="lectures/cnn/cnn.html">Convolutional Neural Networks (Workshop)</a></td>
<td>
<a href="lectures/cnn/cnn.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/c/tjmlfacialfeatures" target="_blank">Competition 1</a><br>
<a href="https://www.kaggle.com/c/diabetic-retinopathy-contest" target="_blank">Competition 2</a><br>
</td>
</tr>
<tr>
<td>November 29th, 2017</td>
<td><a href="lectures/cnn/cnn.html">Convolutional Neural Networks</a></td>
<td>
<a href="lectures/cnn/cnn.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/c/tjmlfacialfeatures" target="_blank">Competition</a><br>
<a href="contests/cnn/IO_sample.py.txt" target="_blank">Sample Code</a><br>
<a href="contests/cnn/FacialRecognition_solution.py.txt" target="_blank">Sample Solution</a>
</td>
</tr>
<tr>
<td>December 6th, 2017</td>
<td><a href="lectures/deepconv/deepconv.html">Transfer Learning, Residual Connections, and Inception Modules</a></td>
<td>
<a href="lectures/deepconv/deepconv.pdf" target="_blank">PDF</a><br>
<a href="lectures/deepconv/CNN_Quiz.pdf" target="_blank">Quiz</a><br>
<a href="lectures/deepconv/CNN_Quiz_Solutions.pdf" target="_blank">Solutions</a><br>
<a href="https://www.kaggle.com/c/statoil-iceberg-classifier-challenge" target="_blank">Competition</a>
</td>
</tr>
<tr>
<td>December 13th, 2017<br>January 3rd, 2018</td>
<td><a href="lectures/obj/obj.html">Object Detection</a></td>
<td>
<a href="lectures/obj/obj.pdf" target="_blank">PDF</a><br>
<a href="https://www.kaggle.com/c/statoil-iceberg-classifier-challenge" target="_blank">Competition</a>
</td>
</tr>
<tr>
<td>January 10th, 2018</td>
<td><a href="lectures/preprocess/preprocess.html">Image Preprocessing</a></td>
<td>
<a href="lectures/preprocess/preprocess.pdf" target="_blank">PDF</a>
</td>
</tr>
<tr>
<td>January 10th, 2018</td>
<td><a href="lectures/fcn/fcn.html">Fully Convolutional Networks</a></td>
<td>
<a href="lectures/fcn/fcn.pdf" target="_blank">PDF</a>
</td>
</tr>
<tr>
<td>January 10th, 2018</td>
<td><a href="lectures/instance/instance.html">Instance Segmentation</a></td>
<td>
<a href="lectures/instance/instance.pdf" target="_blank">PDF</a>
</td>
</tr>
<tr>
<td>March 7th, 2018</td>
<td>Capsule Networks</td>
<td>
<a href="lectures/capsule/capsule.pdf" target="_blank">PDF</a>
</td>
</tr>
<td colspan="3" style="text-align: center" id="rnn"><strong><br>Recurrent Neural Networks and Language Processing</strong></td>
<tr>
<td>January 24th, 2018</td>
<td><a href="lectures/rnn/rnn.html">RNNs, LSTMs, and GRUs</a></td>
<td>
<a href="lectures/rnn/rnn.pdf" target="_blank">PDF</a><br>
<a href="resources/instructions/EEGInstructions.txt" target="_blank">Competition</a><br>
<a href="https://www.kaggle.com/c/grasp-and-lift-eeg-detection/data" target="_blank">Data</a>
</td>
</tr>
<tr>
<td>January 31st, 2018</td>
<td>RNN Competition</td>
<td>
<a href="contests/rnn/rnn.pdf" target="_blank">Competition Instructions</a><br>
</td>
</tr>
<tr>
<td>February 28th, 2018</td>
<td>Word2Vec</td>
<td>
<a href="lectures/word2vec/word2vec.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr style="color: #b5b5b5">
<td>February 2018</td>
<td>Application: Machine Translation</td>
<td>
coming soon
</td>
</tr>
<tr style="color: #b5b5b5">
<td>February 2018</td>
<td>Working with Time-Series Data</td>
<td>
coming soon
</td>
</tr>
<td colspan="3" style="text-align: center" id="gan"><strong><br>Generative Models</strong></td>
<tr>
<td>February 14th, 2018</td>
<td><a href="lectures/gan/gan.html">Generative Adversarial Networks</a></td>
<td>
<a href="lectures/gan/gan.pdf" target="_blank">PDF</a><br>
<a href="resources/instructions/GANInstructions.txt" target="_blank">Competition</a>
</td>
</tr>
<tr>
<td>February 21st, 2018</td>
<td><a href="lectures/advgan/advgan.html">Advanced GANs: Wasserstein GAN & More</a></td>
<td>
<a href="lectures/advgan/advgan.pdf" target="_blank">PDF</a><br>
<a href="resources/instructions/GANInstructions.txt" target="_blank">Competition</a>
</td>
</tr>
<tr style="color: #b5b5b5">
<td>March 2018</td>
<td>PixelRNN & CNN</td>
<td>
coming soon
</td>
</tr>
<tr>
<td>March 2018</td>
<td><a href="lectures/auto/auto.html">Autoencoders</a></td>
<td>
<a href="lectures/auto/autoencoder.pdf" target="_blank">PDF</a><br>
<a href="resources/instructions/DenoisingInstructions.txt" target="_blank">Competition</a><br>
<a href="resources/data/DenoisingData.txt" target="_blank">Data</a>
</td>
</tr>
<tr style="color: #b5b5b5">
<td>March to April 2018</td>
<td>Markov Chains</td>
<td>
coming soon
</td>
</tr>
<td colspan="3" style="text-align: center" id="rl"><strong><br>Reinforcement Learning</strong></td>
<tr>
<td>April 4th, 2018</td>
<td><a href="lectures/rl/rl.html">Introduction to Reinforcement Learning</a></td>
<td>
<a href="lectures/rl/rl.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr style="color: #b5b5b5">
<td>April 2018</td>
<td>Intro to Gym</td>
<td>
coming soon
</td>
</tr>
<tr style="color: #b5b5b5">
<td>April 2018</td>
<td>Deep-Q Learning</td>
<td>
coming soon
</td>
</tr>
<td colspan="3" style="text-align: center" id="guest"><strong><br>Guest Lectures</strong></td>
<tr>
<td>April 11th, 2018</td>
<td><a href="lectures/guest/rnnadv/rnnadv.html">RNN Advancements</a></td>
<td>
<a href="lectures/guest/rnnadv/rnnadv.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>April 25th, 2018</td>
<td>Genetic Algorithms</td>
<td>
<a href="lectures/guest/gen/gen.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>May 1st, 2018</td>
<td>Hidden Markov Models</td>
<td>
<a href="lectures/guest/markov/markov.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>May 8th, 2018</td>
<td>Reinforcement Learning: Part II</td>
<td>
<a href="lectures/guest/rl2/rl2.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>May 8th, 2018</td>
<td>Actor-Critic Reinforcement Learning</td>
<td>
<a href="lectures/guest/actor/actor.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>May 16th, 2018</td>
<td>Confidence Estimates for Neural Networks</td>
<td>
<a href="lectures/guest/confidence/confidence.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>May 16th, 2018</td>
<td>Encoder-Decoder Models in NMT</td>
<td>
<a href="lectures/guest/encoder/encoder.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr>
<td>May 23rd, 2018</td>
<td>Introduction to Gradient Boosting</td>
<td>
<a href="lectures/guest/boost/boost.pdf" target="_blank">PDF</a><br>
</td>
</tr>
<tr style="color: #b5b5b5">
<td>May 2018</td>
<td>TBD</td>
<td>
coming soon
</td>
</tr>
</table>
<p>
After April, we will to split into teams and work on <a href="https://www.kaggle.com">Kaggle</a> competitions. Officers will mentor students and help them apply the knowledge they have gained
from the lectures and internal competitions to the Kaggle competitions and datasets.
</p>
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