DISCnetMachineLearningCourse

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DISCnetMachineLearningCourse

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DISCnetMachineLearningCourse

DISCnetMachineLearningCourse 최신버젼 다운로드

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# DISCnet Machine Learning Course

## Old Thorns, Hiplook 30th June-4th July 2025

Notes, demos and materials for learning Machine Learning

## Extra materials

In addition to the material in this git repository, I've also used materials from my computer vision, data mining and deep learning modules. Please feel free to take a look at the lecture slides and notes for these which can be found here:

- http://comp3204.ecs.soton.ac.uk / https://github.com/jonhare/COMP3204
- http://comp6237.ecs.soton.ac.uk / https://github.com/jonhare/COMP6237
- http://comp6248.ecs.soton.ac.uk / https://github.com/jonhare/COMP6248
- http://ecs-vlc.github.io/COMP6258 / https://github.com/ecs-vlc/COMP6258
- http://ecs-vlc.github.io/COMP6208 / https://github.com/ecs-vlc/COMP6208

## Extra Activities

Weather permitting Jon, Niranjan and Adam are likely to go for a walk (possibly to a pub on occasion). If you would like to join us (or go for and independent walk) please take comfortable shoes.

## Rough Plan

(Note that this is only a guide. We'll adapt the content to your needs during the course.)

- **Monday 1st July 2024:** Overview of Machine Learning
  + *Leaders: Prof Niranjan, Prof Prugel-Bennett and Prof Hare*
  + 9:00-10:00 Available outside Carnoustie meeting room meeting room
    * Tea & Coffee welcome
  + 10:00-10:30  Carnoustie meeting room
    * Introductions:  Course teachers and students
  + 10:30-12:50 _Niranjan_
    * [ML in one page](https://github.com/jonhare/DISCnetMachineLearningCourse/raw/master/Monday/SummerSchool_NiranjanOnePage.pdf) _Niranjan_
    * [Artificial Idiots](https://github.com/jonhare/DISCNetMachineLearningCourse/blob/master/Monday/talk.pdf) _Adam_
    * [Failures of machine learning](https://github.com/jonhare/DISCNetMachineLearningCourse/blob/master/Monday/ML-failures.md) _Jon_
  + 1:00-2:00
    * Lunch
  + 2:05-3:30 _Niranjan_
    * Understanding simple machine learning algorithms
      * Linear models, Gaussian distributions
    * Bayes Optimal Regression 
    * Fisher Discriminant Analysis
    * Perceptron
    * Feature selection and Lasso
  + 3:30-4:00 coffee room
    * Coffee 
  + 17:15-9:00 _Dinner_
 
- **Tuesday 2nd July 2024:** Introduction to Machine Learning
  + 8:00-9:00 Breakfast
  + 9:00-10:30 _Adam_
    * [How to do Machine Learning](https://github.com/jonhare/DISCnetMachineLearningCourse/raw/master/Tuesday/)
  + 10:30-11:00
    * Coffee/break out rooms
  + 11:00-12:50  _Jon_
    * Handling Data
    * Hands-of practical session
    * Introduction to python, scikit-learn and CoLab
  + 1:00-2:00
    * Lunch
  + 2:00-3:30 _Niranjan_
    * MLPs
    * Gradient learning, SGD, momentum
    * valuating performance
      * ROC curves
  + 3:30-4:00 coffee room
    * Tea & Coffee
  + 4:00-5:00
    * Ethics discussion
  + 7:00-9:00 _Dinner_
    
- **Wednesday: 3rd July 2024:** [Advanced Machine Learning](https://github.com/jonhare/DISCnetMachineLearningCourse/raw/master/Wednesday/)
  + Leader: _Adam_
  + 9:00-10:30
    * Generalisation
      * Bias-Variance Dilema
    * Kernel methods
      * SVM
      * kernels
  + 10:30-11:00
    * Coffee
  + 11:00-12:50
     * Ensemble Techniques
      * Bagging, random forest and Boosting
  + 1:00-2:00
    * Lunch
  + 13:00-3:30
    * Bayesian Inference
    * Probability Models
      * Gaussian Processes and Naive Bayes
  + 3:30-4:00
    * Coffee
    * Homework
    * Extra exercises: https://ecs-vlc.github.io/COMP6258/labs/lab1/
  + 7:00-9:00 _Dinner__
  + 
- **Thursday 4th July 2024:** Deep Learning
  + *Leader: _Jon_
  + 9:00-10:30
    * Why Deep (see https://github.com/jonhare/DiffProgLecture/blob/main/tex/diffprog.pdf)
      * CNNs
      * RNNs (LSTM, etc.)
      * Current research challenges
      - Visual
        + segmentation
        + object detection
        + multi-label classification
      - Text
        + sequence-sequence learning
          * translation, embedding, etc
          * logical inference & QA
      - Cross-modal transfer
        + generating from embeddings
        + VQA
      - GANs
  + 10:30-11:00
    * Coffee
  + 11:00-12:50
    * Word Embeddings
    * Loss functions
    * GPU programming (libraries)
  + 1:00-2:00
    * Lunch
  + 1:30-3:00
    * Keras tutorial 1 - building simple CNNs
    * Transfer Learning
    * Keras tutorial 2 - transfer learning with CNNs
    * or: https://ecs-vlc.github.io/COMP6258/
    * Keras tutorial 3 - Text classification
    * Keras tutorial 4 - Sequence modelling
    * or: https://ecs-vlc.github.io/COMP6258/
  + 3:30-4:00
    * Coffee
  + 7:00-9:00 _Dinner_
- **Friday 5th July 2024:** Practical Machine Learning
  + *Leaders: Prof Niranjan, Prof Prugel-Bennett and Prof Hare*
  + 9:00-10:30
    * Workshop on data you provide
    * We will look at ([slides](https://github.com/jonhare/DISCnetMachineLearningCourse/blob/master/Friday/projects.pdf)):
      * Analyse the problem
      * Visualise the data
      * Cleaning the data
      * Using machine learning libraries
      * Evaluate performance
  + 10:30-11:00 Coffee
  + 11:00-12:50
    * Work on data 
  + 12:30-1:30 Lunch
  + 13:00-3:30
    * Practical ML
  + 3:30-4:00 Coffee
  + _Leave_

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