Machine Learning

My Notebooks on How to Work With Machine Learning Projects

TOC

Statistics

Data Types

• numeric
  • discrete
  • continous
• categorical
  • binary
  • ordinal

Measures of Locations/Centran Tendency

• mean: average
  • trimmed mean: extreme values are removed
  • weighted mean: ??
• median
• percentile
• weighted median
• robust
• outlier

Things that will be included here:

• Python Libraries
  • pandas, numpy
  • matplotlib, seaborn
• Academic Theories: Calculus, Statistics, Etc (this is a good one: https://www.aws.training/Details/eLearning?id=26597&trkCampaign=GLBL-FY21-TRAINCERT-400-ML&sc_channel=el&sc_campaign=GLBL-FY21-TRAINCERT-400-ML-B2IRUG-website-eGuide&sc_outcome=Training_and_Certification)
• Tensorflow
• PyTorch
• SciKitLearn
• SageMaker
  • distributed training
  • distributed gpu
  • automated model tuning
• Process
  • data analysis
  • feature engineering
  • encode (https://www.tensorflow.org/api_docs/python/tf/feature_column)
  • train
    • batching
  • predict
• DevOps
  • CI/CD
  • deploy