EricChanBD/BuildingMachineLearningSystemsWithPython
Source Code for the book Machine Learning Systems with Python
Developer Profile
EricChanBD
Discovered public repositories for EricChanBD in the GitHub catalog.
EricChanBD/go
The Open Source Data Science Masters
EricChanBD/MiA
Mahout in Action Example Code
EricChanBD/sklearn_pycon2013
Files for my scikit-learn tutorial at PyCon 2013
EricChanBD/astroML
Machine learning, statistics, and data mining for astronomy and astrophysics
EricChanBD/libsvm-java-kernel
Refactored libsvm for easily plugging custom kernels (e.g., Tree Kernel) written in Java.
EricChanBD/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
EricChanBD/ml-class
My solutions to programming exercises from Stanford online Machine Learning class.
EricChanBD/MachineLearningLectures
Code to demonstrate basic machine learning algorithms following on Stanford CS229.
EricChanBD/Machine-learning-programming-exercises
My solutions to the programming exercises from Stanford's Machine Learning online course
EricChanBD/Graduate-Machine-Learning-Assignment
This repository serves a container for my CS534 Machine Learning Programming Assignment Source Code. There are four programming assignments required in this course, including gradient descent algorithm, Perceptron, Naive Bayes algorithm as well as Batch and Boosting.
EricChanBD/ml_hackers
Machine Learning For Hackers 中文版
EricChanBD/scikit-learn
scikit-learn: machine learning in Python
EricChanBD/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
EricChanBD/PRML
Pattern recognition and machine learning toolbox
EricChanBD/Stanford-Machine-Learning-Course
machine learning course programming exercise
EricChanBD/FaceRecognition
Implement face recognition using PCA, LDA and LPP
EricChanBD/MachineLearning-C---code
using c++ code to show the example of machine learning