MIST101-5: Unsupervised Learning and Clustering

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Image of MIST101-5

So far we have discussed how machines learn using data that is labeled. But more often than not, the raw data we have in real life is unlabeled. This is because labeling data requires humans intervention and hence is harder to obtain. This is where unsupervised learning comes into play. Our dear machines can not just learn from labeled data but also find patterns and make sense out of unlabeled data!

In this workshop, we will go over the difference between supervised and unsupervised learning, explore clustering, principal component analysis (PCA), K-means algorithm, and much more. This workshop also includes a coding tutorial that will implement an image compression program that uses the k-means algorithm - Your own image compressor software!

Good News! We have made the process of participating and winning prizes a LOT simpler. After watching the workshop videos, you can test how well you have understood the concepts by participating in a short online quiz which consists of MCQs and short answer questions. This will not just help you reinforce what you have learned but also help you win prizes!

The quiz can be found here!

As always, we are partnering with Amazon Prime Student to provide gift cards worth 25 CAD each when you answer them correctly* ! So stay tuned for our upcoming workshop which will be released on our YouTube channel on November 14th, 2020.

Wait a minute, what time is it?…. We value the fact that you are busy, and hence we’ll upload the recorded videos on our YouTube channel, so that you can watch it when you have time!

Presentation slides are here and the Colab notebook can be found here.

Event Details

Topics to be covered:

  1. Supervised vs Unsupervised learning
  2. Types of unsupervised learning
  3. Clustering
  4. Principal Component Analysis
  5. K-means clustering algorithm
  6. Applications and disadvantages of unsupervised learning
  7. Demo: Image compression using K-means

How to win prizes:

  • Participate in the quiz.
  • Answer the MCQs and short answer questions to the best of your knowledge.
  • Hit submit.
  • That’s it!

The quiz should take no longer than 10 minutes, provided that you have watched the videos!

We’ll contact you if you win!

References:

Dabbura, I. (2020, August 10). K-means Clustering: Algorithm, Applications, Evaluation Methods, and Drawbacks. Retrieved November 08, 2020, from https://towardsdatascience.com/k-means-clustering-algorithm-applications-evaluation-methods-and-drawbacks-aa03e644b48a

Unsupervised Machine Learning: What is, Algorithms, Example. (n.d.). Retrieved November 08, 2020, from https://www.guru99.com/unsupervised-machine-learning.html

Brems, M. (2019, June 10). A One-Stop Shop for Principal Component Analysis. Retrieved November 08, 2020, from https://towardsdatascience.com/a-one-stop-shop-for-principal-component-analysis-5582fb7e0a9c

* An Amazon gift card worth 25$ will be provided to the top submissions.