SUMMARY.md

Table of contents

• The iron data science notebook

ML & Data Science

• Frequent Questions
  • Discriminative vs Generative models
  • Supervised vs Unsupervised learning
  • Batch vs Online Learning
  • Instance-based vs Model-based Learning
  • Bias-Variance Tradeoff
  • Probability vs Likelihood
  • Covariance vs Correlation Matrix
  • Precision vs Recall
  • How does a ROC curve work?
  • Ridge vs Lasso
  • Anomaly detection methods
  • How to deal with imbalanced datasets?
  • What is "Statistically Significant"?
  • Recommendation systems methods
• Statistics
  • The basics
  • Distributions
  • Sampling
  • IQR
  • Z-score
  • F-statistic
  • Outliers
  • The bayesian basis
  • Statistic vs Parameter
  • Markov Monte Carlo Chain
• ML Techniques
  • Pre-process
    • PCA
  • Loss functions
  • Regularization
  • Optimization
  • Metrics
    • Distance measures
  • Activation Functions
  • Selection functions
  • Feature Normalization
  • Cross-validation
  • Hyperparameter tuning
  • Ensemble methods
  • Hard negative mining
  • ML Serving
    • Quantization
    • Kernel Auto-Tuning
    • NVIDIA TensorRT vs ONNX Runtime
• Machine Learning Algorithms
  • Supervised Learning
    • Support Vector Machines
    • Adaptative boosting
    • Gradient boosting
    • Regression algorithms
      • Linear Regression
      • Lasso regression
      • Multi Layer Perceptron
    • Classification algorithms
      • Perceptron
      • Logistic Regression
      • Multilayer Perceptron
      • kNN
      • Naive Bayes
      • Decision Trees
      • Random Forest
      • Gradient Boosted Trees
  • Unsupervised learning
    • Clustering
      • Clustering metrics
      • kMeans
      • Gaussian Mixture Model
      • Hierarchical clustering
      • DBSCAN
  • Cameras
    • Intrinsic and extrinsic parameters
• Computer Vision
  • Object Detection
    • Two-Stage detectors
      • Traditional Detection Models
      • R-CNN
      • Fast R-CNN
      • Faster R-CNN
    • One-Stage detectors
      • YOLO
      • YOLO v2
      • YOLO v3
      • YOLOX
    • Techniques
      • NMS
      • ROI Pooling
    • Metrics
      • Objectness Score
      • Coco Metrics
      • IoU
  • MOT
    • SORT
    • Deep SORT

Related Topics

• Intro
• Python
  • Global Interpreter Lock (GIL)
  • Mutability
  • AsyncIO
• SQL
• Combinatorics
• Data Engineering Questions
• Distributed computation
  • About threads & processes
  • REST vs gRPC

Algorithms & data structures

• Array
  • Online Stock Span
  • Two Sum
  • Best time to by and sell stock
  • Rank word combination
  • Largest subarray with zero sum
• Binary
  • Sum of Two Integers
• Tree
  • Maximum Depth of Binary Tree
  • Same Tree
  • Invert/Flip Binary Tree
  • Binary Tree Paths
  • Binary Tree Maximum Path Sum
• Matrix
  • Set Matrix Zeroes
• Linked List
  • Reverse Linked List
  • Detect Cycle
  • Merge Two Sorted Lists
  • Merge k Sorted Lists
• String
  • Longest Substring Without Repeating Characters
  • Longest Repeating Character Replacement
  • Minimum Window Substring
• Interval
• Graph
• Heap
• Dynamic Programming
  • Fibonacci
  • Grid Traveler
  • Can Sum
  • How Sum
  • Best Sum
  • Can Construct
  • Count Construct
  • All Construct
  • Climbing Stairs