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Machine Learning 101

Ali Akbar S.
December 18, 2017

Machine Learning 101

Ali Akbar S.

December 18, 2017

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  1. Tasks in Machine Learning 1. Predicting stock price 2. Differentiating

    cat vs. dog pictures 3. Spam identification 4. Community detection 5. Mimicking famous painting style 6. Mastering the game of go and chess 7. etc.
  2. Task Categories 1. Supervised learning a. Predicting stock price b.

    Differentiating cat vs. dog pictures c. Spam identification 2. Unsupervised learning a. Community detection b. Mimicking famous painting style 3. Reinforcement learning a. Mastering the game of go and chess
  3. - Iris Dataset - by R.A. Fisher (1936) - 4

    attributes: sepal length, sepal width, petal length, petal width - 3 labels: Iris Setosa, Iris Versicolour, Iris Virginica Let’s take an example dataset...
  4. Nearest Neighbour - Finding the closest reference - What does

    it mean by “closest”? - Humans comprehend visualisations very well - Can computers do the same?
  5. 1. Find some k closest references 2. Use majority vote

    3. We need to compute pairwise distances k-Nearest Neighbours
  6. Clustering - Finding subgroups in the data - Your neighbours

    in the same housing complex regardless of their class - Unsupervised learning
  7. k-Means Clustering 1. Uses Euclidean distance as well 2. k

    = number of clusters 3. Centroids to represent clusters