Study
I am taking classes in our group meeting, online courses websites, etc. This is very helpful on my research, especially when transferring from EE to CS and from networking to machine learning. I would like to share my experiences and notes of these courses.
More materials will come ...
Machine Learning
Machine Learning
Linear Regression
Classification
Naive Bayes Classifier
Logistic Regression
Support Vector Machine
Decision Tree and Random Forest
Neural Network
Deep Learning
Regularizatino and Model Selection
Regularization
Unsupervised Learning
Clustering
Expectation-Maximization
Associative
Mining of Massive Data Set
Data Structure and Algorithms
Data Structures
Arrays
Linked Lists
Trees
Stacks
Queues
Heap
HashMaps
Graphs
Algorithms
String
Sorting
Search
Greedy
Dynamic Programming
Typical Questions
Meeting Rooms II (multiple solutions; data structures: ArrayList, MinHeap, TreeMap)