/ai_hands_on

Primary LanguageJupyter Notebook

AI Hands-On

Reference and Learning Material

Beginners --> Intermediates

  1. Python3系统入门人工智能-慕课网实战 (imooc.com)，by Flare Zhao
  2. 端到端机器学习平台Amazon SageMaker详解_哔哩哔哩_bilibil，by EmilyWebber
  3. microsoft/ML-For-Beginners: Classic Machine Learning for all
  4. Finetuning Large Language Models by Sharon Zhou
  5. ChatGPT Prompt Engineering for Developers by Isa Fulford
  6. Serverless LLM apps with Amazon Bedrock by Mike Chambers
  7. Awesome Promt Engineering

Advanced

  • TODO

Environment and Toolchain

  1. Anaconda Navigator, 2.6.2
  2. conda, 24.5.0
  3. python, 3.12.4
  4. Jupyter Notebook, 7.0.8
  5. tensorflow, 2.17.0
  6. pandas, 2.1.4
  7. numpy, 1.26.4
  8. scikit-learn, 1.5.1
  9. matplotlib, 3.9.1
  10. vscode, 1.92.0

Notes

  1. Root index: [notes/00-index]
  2. Root folder: notes
  3. Tool: Obsidian, 1.6.7

Dataset

Grouped in dataset folder with [[dataset/00-index]]

Hands-on

Classical Machine Learning

  1. linear regression
    1. simple linear regression
    2. multiple linear regression
  2. logistic regression

Deep Machine Learning

  • TODO