Coursera Assignments

• Bayesian Statistics From Concept to Data Analysis

• Learn to Program: Crafting Quality Code

• Neural Networks for Machine Learning-University of Toronto

• Specialization Applied Data Science with Python

  • Introduction to Data Science in Python
  • Applied Machine Learning in Python

• Specialization Big Data-UCSD

  • Introduction to Big Data
  • Big Data Modeling and Management Systems
  • Big Data Interation and Processing

• Specialization Data Mining-UIUC

  • Text Retrieval and Search Engines
  • Text Mining and Analytics
  • Pattern Discovery in Data Mining
  • Cluster Analysis in Data Mining

• Specialization Data Science-Johns Hopkins University

  • The Data Scientist’s Toolbox
  • R Programming
  • Getting and Cleaning Data

• Specialization Data Structures & Algorithms-UC San Diego

  • Algorithmic Toolbox
  • Data Structures
  • Algorithms on Graphs
  • Algorithms on Strings

• Specialization Deep Learning

  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects

• Specialization Functional Programming in Scala

  • Functional Programming Principles in Scala

• Specialization Fundamentals of Computing-Rice University

  • Principles of Computing 1

• Specialization Meachine Learning-University of Washington

  • Machine Learning Foundations: A Case Study Approach
  • Machine Learning: Regression
  • Machine Learning: Classification
  • Machine Learning: Clustering & Retrieval

• Specialization Probabilistic Graphical Models-Stanford University

  • Probabilistic Graphical Models 1: Representation
  • Probabilistic Graphical Models 2: Inference
  • Probabilistic Graphical Models 3: Learning

• Specialization 程序设计与算法-Peking University

  • 计算导论与C语言基础
  • C程序设计进阶
  • C++程序设计
  • 算法基础
  • 数据结构基础

• Specialization Recommender System-University of Minnesota

  • Introduction to Recommender Systems: Non-Personalized and Content-Based
  • Nearest Neighbor Collaborative Filtering
  • Recommender Systems:Evaluation and Metrics
  • Matrix Factorization and Advanced Techniques

• Specialization Statistics with R-Duke University

  • Introduction to Probability and Data
  • Inferential Statistics

• The Unix Workbench-Johns Hopkins University

• 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations