Applied AI from Scratch培训

课程编码

appai

课程时长

28 小时 通常来说是4天,包括中间休息。

要求

There are no specific requirements needed to attend this course.

课程概览

这是一个为期4天的课程,介绍AI及其应用。在完成本课程后,可以选择额外一天进行AI项目。

Machine Translated

课程大纲

Supervised learning: classification and regression

  • Bias-variance trade off
  • Logistic regression as a classifier
  • Measuring classifier performance 
  • Support vector machines
  • Neural networks
  • Random forests    

Unsupervised learning: clustering, anomaly detetction

  • principal component analysis
  • autoencoders    

Advanced neural network architectures

  • convolutional neural networks for image analysis
  • recurrent neural networks for time-structured data
  • the long short-term memory cell

Practical examples of problems that AI can solve, e.g.

  • image analysis
  • forecasting complex financial series, such as stock prices,
  • complex pattern recognition
  • natural language processing
  • recommender systems    

Software platforms used for AI applications:

  • TensorFlow, Theano, Caffe and Keras
  • AI at scale with Apache Spark: Mlib    

Understand limitations of AI methods: modes of failure, costs and common difficulties

  • overfitting
  • biases in observational data
  • missing data
  • neural network poisoning

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