Machine Learning With Python
Review for the implementation of machine learning algorithms with python.
Machine Learning
Sample post listing for the category machine_learning.
Machine Learning Part 7：Large Scale Machine Learning
Gradient descent and data parallelism for large scale machine learning problems.
Machine Learning Part 6：Recommender System
About how to use the collaborative filtering algorithm to build a recommemder system.
Machine Learning Part 5：Clustering
Introduction to several useful unsupervised algorithms for clustering, dimensionality reduction and anomaly detection.
Machine Learning Part 4：Support Vector Machine (SVM)
The algorithm of SVM for linear classfication. Kernal functions are introduced for the application of SVM in non-linear classfications.
Machine Learning Part 3：Evaluating and Designing
An introductin to evaluating and designing machine learning algorithms. Specifically, we talk about the balance between bias and variances and the learning c...
Machine Learning Part 2： DNN
Problem representation and learning algorithms for neural networks.
Machine Learning Part 1： Basics
A brief introduction to machine learning. Foundamental concepts and algorithms for regression and classification are given.