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ML Engineer - Coggle Diagram

- - - - hot-deck
      - cold-deck
      - mean-substitution
      - regression
  - - - PCA
      - SVD
    - - embedded methods
        
        lasso regression
        
        ridge regressin
      - filter methods
        
        correlation
        
        Linear Discriminant Analysis
        
        ANOVA: Analysis of Variance
        
        Chi-Square
      - wrapper methods
        
        forward selection
        
        backward elimination
        
        recursive feature elimination
        
        genetic algorithms
- - - - Document
        
        mongo
        
        elasticsearch
      - Wide column
        
        Cassandra
      - graph
        
        neo4j
      - key-value
        
        redis
    - - presto
      - clickhouse
  - - - SOLID
      - GRASP
      - GoF
- - - - cross-entropy
        +binary, weighted
      - Hinge
      - Logistic
      - angular loss
    - - IoU
      - d/g/cIoU
      - CSE
      - Yolo
    - - focal
      - dice
      - tversky
      - lovász-softmax
      - shape-aware
  - - - Leaky ReLU
      - ELU
      - SELU
      - GELU
      - PReLU
  - - - pooling
    - - LSTM
      - GRU
    - - attention
    - - vae
      - gan
        
        ESRGAN
        
        CycleGAN
        
        StyleGAN
      - diffusion models
      - autoregressive
  - - - Backpropagation
      - SGD
      - Momentum
      - Adam
      - AdaGrad
      - AdaDelta
      - Nadam
      - RMSProp
    - - early stopping
      - dropout
      - parameter penalties
      - data augmentation
      - adversarial training
  - - - cuda
      - opencl
      - tensorrt
      - openvino
      - torch jit/script
      - onnx
      - numba
      - dask
    - - paperswithcode
      - hugging face
      - colab
      - zeta-alpha
- - - - hyperopt
    - - MS NNI
    - - optuna
  - - - classification
        
        classification rate
        
        kNN
        
        SVM
        
        logistic regression
        
        naive bayes classifiers
        
        gaussian mixture models
        
        decision tree
      - regression
        
        linear regression
        
        Poisson regression
    - - clustering
        
        algorithms
        
        k-means
        
        hierarchical
        
        Linkage
        
        complete
        
        single
        
        average
        
        centroid
        
        Dissimilarity Measure
        
        Euclidean
        
        Manhattan
        
        DBSCAN
        
        HDBSCAN
        
        Fuzzy C-means
        
        mean shift
        
        Agglomerative
        
        OPTICS
        
        Expectation Maximization
        
        validation
        
        data structure metrics
        
        Dunn Index
        
        Connectivity
        
        Silhouette Width
        
        stability metrics
        
        non-overlap APN
        
        Average Distance
        
        Average Distance Means
        
        Figure of Metric
      - dimensionality reduction
        
        PCA
        
        random projection
        
        NMF
        
        T-SNE
        
        UMAP
      - Association Rule Learning
        
        Apriori algorithm
        
        ECLAT algorithm
        
        FP Trees
    - - bootstrapping
      - boosting
      - bagging
      - stacking
      - algorithms
        
        random forest
        
        voting classifiers
        
        adaboost
  - - - grid search
      - random search
      - grad student descent
      - Gradient-based optimization
      - overfitting
      - underfitting
- - - - conditional probability and Bayes' theorem
      - randomness, random variable, random sample
      - probability distribution
      - (statistical) independence
      - independent and identically distributed random variables
      - cdf, pdf, pmf
        
        cumulative distribution function
        
        probability density funtion
        
        probability mass function
    - - mean and expectation
      - variance and standard deviation
      - median
      - interquartile range
      - percentile / quartile
      - mode
      - Covariance and Correlation
    - - p-value
      - t-tests
      - F-test
      - $$chi^2-test$$
      - A/B testing
    - - continues
        
        normal / Gaussian
        
        uniform
        
        beta
        
        Dirichlet
        
        exponential
        
        $$x^2$$
      - discrete
        
        uniform
        
        binomial
        
        multinomial
        
        hypergeometric
        
        poisson
        
        geometric
      - important lows
        
        law of large numbers
        
        central limit theorem
    - - maximum likelihood estimation
      - kernel density estimation
- - - - starters
        
        Random baseline
        
        Human baseline
        
        Simple heuristic
- - - - Canny
    - - SORT
      - FairMOT
  - - - voxel
      - points cloud
      - mesh
    - - camera, calibration
      - lidar
      - kinect
      - radar