SUMMARY.md

Table of contents

• The Machine & Deep Learning Compendium
• The Ops Compendium
• Types Of Machine Learning
  • Model Families
  • Weakly Supervised
  • Semi Supervised
  • Regression
  • Active Learning
  • Online Learning
  • N-Shot Learning
• Data Science
• Data Science Tools
• Management
• Data Science Management
• Calculus
• Probability & Statistics
• Probability
• Feature Types
• Features
• Calibration
• Multi Label Classification
• Distribution
• Distribution Transformation
• Information Theory
• Game Theory
• Datasets
• Dataset Confidence
• Normalization & Scaling
• Regularization
• Datasets Reliability & Correctness
• Data & Model Tests
• Fairness, Accountability, and Transparency
• Interpretable & Explainable AI (XAI)
• Meta Learning
• Evaluation Metrics
• Benchmarking
• Hyper Parameter Optimization
• Multi CPU Processing
• Algorithms 101
• Training Strategies
• Classic Machine Learning
• Label Algorithms
• Clustering Algorithms
• Anomaly Detection
• Decision Trees
• Active Learning Algorithms
• Linear Separator Algorithms
• Ensembles
• Reinforcement Learning
• Incremental Learning
• Dimensionality Reduction Methods
• Genetic Algorithms & Genetic Programming
• Learning Classifier Systems
• Recommender Systems
• Timeseries
• Fourier Transform
• Digital Signal Processing (DSP)
• Propensity Score Matching
• Diffusion models
• Natural Language Processing
  • Natural Language Processing (Many Topics)
  • Name Matching
  • String Matching
• Graphs
  • Graph Theory
  • Social Network Analysis
• Deep Learning
  • Deep Neural Nets
  • Deep Neural Machine Vision
  • Deep Neural Audio
• Experimental Design
  • Design Of Experiments
  • DOE Tools
  • A/B Testing
  • Multi Armed Bandits
  • Contextual Bandits
  • Factorial Design
• Product
  • Expanding Your Data Science Skills
  • Product Vision & Strategy
  • Product / Program Managers
  • Product Management Resources
  • Product Tools
  • User Experience Design (UX)
  • Business
  • Marketting
  • Humor
• Business Domains For Data Science
  • Follow the regularized leader
  • Growth
  • Root Cause Effects (RCE/RCA)
  • Log Parsing / Templatization
  • Fraud Detection
  • Life Time Value (LTV)
  • Survival Analysis
  • Propaganda Detection
  • NYC TAXI
• MLOps (www.OpsCompendium.com)
• DataOps (www.OpsCompendium.com)