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https://github.com/callaghanmt-training/ittt-ai-ml-dl

https://github.com/callaghanmt-training/ittt-ai-ml-dl

Science Score: 13.0%

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  • Host: GitHub
  • Owner: callaghanmt-training
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 89.4 MB
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Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme

README.md

Techtalks IT: AI, Machine Learning and Deep Learning

Proposal

A 4 session series of TechTalks/ training sessions for IT Colleagues to give a background to ML tools and techniques using a realistic example familiar to most, the analysis of IT tickets.

Suggested dates

  • Session 1: Tuesday 19th May 1400-1500
  • Session 2: Tuesday 2nd June 1400-1500
  • Session 3: Tuesday 16th June 1400-1500
  • Session 4: Tuesday 30th June 1400-1500

Example dataset

https://github.com/karolzak/support-tickets-classification

Suggested content

Session 1: General introduction to AI/ML/DL, supervised and unsupervised learning; classification and regression and what the terms mean; introduction to the business problem (and some sample data); code along with ScikitLearn and classifying ticket content.

Session 2: Deep dive code-along with classification (getting the ticket to the right team) and regression (can we predict how long a query should take to be answered) problems.

Session 3: Identifying topics in dataset. Code along with LDA; opportnity to discuss approaches eg. bag-of-words

Session 4: Measuring the efficiency of classification (scikit learn again). Neral networks- training a simple LSTM model for classification.

Owner

  • Name: callaghanmt-training
  • Login: callaghanmt-training
  • Kind: organization

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Dependencies

session_3_topicsML/environment.yml pypi