Udacity、北邮、华盛顿大学 人工智能课程

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发表于 2021-10-24 23:29:33 | 显示全部楼层 |阅读模式
【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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