Udacity、北邮、华盛顿大学 人工智能课程
【课程内容】Introduction to Artificial Intelligence AI Class
[*]Welcome to AI
[*]Problem Solving
[*]Probability in AI
[*]Probabilistic Inference
[*]Machine Learning
[*]Unsupervised Learning
[*]Representation with Logic
[*]Planning
[*]Planning under Uncertainty
[*]Reinforcement Learning
[*]HMMs and Filters
[*]MDP Review
[*]Games
[*]Game Theory
[*]Advanced Planning
[*]Computer Vision
[*]Robotics
[*]Natural Language Processing
[*]Office Hours
附带
[*]期中期末试题
[*]问题讲解
Data Manipulation at ScaleSystems and Algorithms
01 data science context and concepts
[*]examples and the diversity of data science
[*]working definitions of data science
[*]characterizing this course
[*]related topics
[*]course logistics
[*]assignment 1 twitter sentiment analysis
02 relational databases and the relational algebra
[*]principles of data manipulation and management
[*]relational algebra
[*]sql for data science
[*]key principles of relational databases
03 mapreduce and parallel dataflow programming
[*]reasoning about scale
[*]the mapreduce programming model
[*]algorithms in mapreduce
[*]parallel databases vs mapreduce
04 nosql systems and concepts
[*]what problems do nosql systems aim to solve
[*]early key value systems and key concepts
[*]document stores and extensible record stores
[*]extended nosql systems
[*]pig programming with relational algebra
[*]pig analytics
[*]spark
05 graph analytics
[*]structural tasks
[*]traversal tasks
[*]pattern matching tasks and graph query
[*]recursive queries
[*]representations and algorithms
钟义信 人工智能与大数据
共两课
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