Udacity、北邮、华盛顿大学 人工智能课程

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【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 Scale  Systems 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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