All Projects → Alexoner → AI-cheat-sheet

Alexoner / AI-cheat-sheet

Licence: Apache-2.0 license
cheat sheet for Artificial Intelligence

Programming Languages

TeX
3793 projects
HTML
75241 projects
PostScript
262 projects

Projects that are alternatives of or similar to AI-cheat-sheet

Gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Stars: ✭ 106 (+430%)
Mutual labels:  regression, bayesian
Correlation
🔗 Methods for Correlation Analysis
Stars: ✭ 192 (+860%)
Mutual labels:  regression, bayesian
BAS
BAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (+80%)
Mutual labels:  regression, bayesian
Universal Head 3DMM
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
Stars: ✭ 138 (+590%)
Mutual labels:  regression
gunning-fog
Formula to detect the ease of reading a text according to the Gunning fog index (1952)
Stars: ✭ 16 (-20%)
Mutual labels:  formula
InstantDL
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
Stars: ✭ 33 (+65%)
Mutual labels:  regression
ARCHModels.jl
A Julia package for estimating ARMA-GARCH models.
Stars: ✭ 63 (+215%)
Mutual labels:  regression
R4Econ
R Code Examples Multi-dimensional/Panel Data
Stars: ✭ 16 (-20%)
Mutual labels:  regression
ridge
CRAN R Package: Ridge Regression with automatic selection of the penalty parameter
Stars: ✭ 17 (-15%)
Mutual labels:  regression
sl3
💪 🤔 Modern Super Learning with Machine Learning Pipelines
Stars: ✭ 93 (+365%)
Mutual labels:  regression
MLExp
arxiv.org/abs/1801.07710v2
Stars: ✭ 32 (+60%)
Mutual labels:  bayesian
LinearityIQA
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Stars: ✭ 73 (+265%)
Mutual labels:  regression
BayesianNeuralNets
Bayesian neural networks in PyTorch
Stars: ✭ 17 (-15%)
Mutual labels:  bayesian
phyr
Functions for phylogenetic analyses
Stars: ✭ 23 (+15%)
Mutual labels:  bayesian
node calculator
Create Maya node-network by entering a math-formula.
Stars: ✭ 56 (+180%)
Mutual labels:  formula
stan4bart
Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
Stars: ✭ 13 (-35%)
Mutual labels:  bayesian
HurdleDMR.jl
Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia
Stars: ✭ 19 (-5%)
Mutual labels:  regression
imbalanced-regression
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Stars: ✭ 425 (+2025%)
Mutual labels:  regression
fast-formula-parser
Parse and evaluate MS Excel formula in javascript.
Stars: ✭ 341 (+1605%)
Mutual labels:  formula
models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (+115%)
Mutual labels:  bayesian

#Artificial Intelligence cheat sheet

This cheat sheet contains many mathematical formula, equations,inference and diagrams on Artificial Intelligence. Most of them are based on Pattern Recognition and Machine Learning,Elements of Statisitical Learning and Machine Learning: A Probabilistic Perspective.

##TODO

  • Linear Models for Regression

    • Maximum Likelihood
    • Maximum Posterior
    • Bayesian Linear Regression
    • Bayesian Model Comparison
    • The Evidence Approximation
  • Linear Models for Classification

    • Discriminant Functions
    • Generative Models
    • Discriminative Models
    • Laplace Approximation
    • Bayesian Logistic Regression
  • Neural Networks

    • Feed-forward Network Functions
    • Network Training
      • Parameter optimization
      • Local quadratic approxmiation
      • Use of gradient information
      • Gradient descent optimization
    • Error BackPropagation
      • Evaluation of error-function derivatives
      • Example
      • Efficiency of backpropagation
      • Jacobian matrix
    • The Hessian Matrix
    • Regularization in Neural Networks
      • ...
      • Early stopping
      • Convolutional networks
    • Mixture Density Networks
    • Bayesian Neural Networks
  • Kernel Methods

  • Sparse Kernel Machines

    • Maximum Margin Classifiers
    • Relevance Vector Machines
  • Graphical Models

  • Mixture Models and EM

    • K-means
    • Mixtures of Gaussians
    • Complementary View
    • General EM
  • Approximation Inference

  • Sampling Methods

  • Continuous Latent Variables

  • Sequential Data

  • Combining Models

    • Boosting
    • Random Forests
  • Latent Dirichlet Allocation

    • Gamma function

Sample Latex formula $$\int_{0}^{\infty}f(\vec{x},\vec{w})dx$$

Book review

For Bayesian treatment, refer to PRML. For more data mining practical issues refer to ESL.

##Download PDF cheat-sheet.pdf

##LaTeX template This open-source book adopts the Springer latex template.

##How to compile

  1. Install Tex Live 2012.

  2. Install TeXstudio.

  3. Configure TeXstudio.
    Run TeXstudio, click Options-->Configure Texstudio-->Commands, set XeLaTex to xelatex -synctex=1 -interaction=nonstopmode %.tex.

    Click Options-->Configure Texstudio-->Build,
    set Build & View to Compile & View,
    set Default Compiler to XeLaTex,
    set PDF Viewer to Internal PDF Viewer(windowed), so that when previewing it will pop up a standalone window, which will be convenient.

  4. Compile. Use Open cheat-sheet.tex with TeXstudio,click the green arrow on the menu bar, then it will start to compile.
    In the messages window below we can see the compilation command that TeXstudio is using is xelatex -synctex=1 --enable-write18 -interaction=nonstopmode "cheat-sheet".tex

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].