Introduction to Python/R and Their Applications
Introduction
Matlab
GPU
Math Basics
协方差与相关性
Python Basics
Packages List
IDE
Basic syntax
R Basics
Packages List
IDE
Introduction
Javascript
D3
Three.js
Visulization
RadViz
Machine Learning
General Introduction
What Is Machine Learning
route of ML
Machine Learning Done Wrong
How to Evaluate Machine Learning Models
Orientation
Classification metrics
Ranking and regression metrics
Hyperparameter Tuning
Validation and offline testing
A/B testing
Features
Feature Engineering versus Feature Extraction: Game On
Feature Selection and Feature Learning
Feature Extraction
Feature extraction with R
Parameter Tuning
Benchmark
Dimension Reduction
Expectation Maximization
Bayesian
Clustering
Regression
Spatial Regression
Ensemble
XGBoost
Parameter Tuning in XGBoost
A Guide to Gradient Boosted Trees with XGBoost in Python
Random Forest
Regularized Greedy Forest
Rule based Learning Ensembles
Time Series
LSTM
RNN
R Practices for Time Series
Zhihu
H2O
How to use R, H2O, and Domino for a Kaggle competition
MxNet
Getting Started with MXNet
MXnet GPU installation and MNIST
mxnet- Integrating R with GPU to Accelarate Deep Learning
AutoEncoders
AutoEncoder
Denosing AutoEncoder
Stacked AutoEncoder
Sparse AutoEncoder
Contractive Autoencoder
Marginalized Stacked Denoising Autoencoder
Sparse Filtering
R_saenet
Geophysics
Powered by
GitBook
Machine Learning
Machine Learning
保尔·拉法格在《忆马克思》中谈到,马克思认为：“一种科学只有在成功地运用数学时,才算达到了真正完善的地步.”
Introduction to multifractal detrended fluctuation analysis
SHOGUN machine learning toolbox
Basic Procedure
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