一亩三分地数据科学课程Unit 3:Machine Learning

小K数据科学课程共四个单元,各单元之间相互独立,可以单独报名学习。

课程介绍
Note this course is designed for ML scientist/Data scientist. So it will not have a heavy engineering/software development focus.

所需基础:熟悉Machine Learning,上过Intro to ML课程,已经具备基础知识。

课程难度:Intermediate-Advanced to Advanced

课程内容:

– 0. Choosing the right hammer: unsupervised / supervised / (semi-supervised / active) / reinforcement learning / deep learning
– 1. Unsupervised / Semi supervised, autoencoders, tSNE
– 2. Supervised: Classification / Regression, slightly fancier stuff
– 3. Learning to rank / search ranking; recommendation system
– 4. Learning sequences: HMM/particle filter/Kalman Filter, Forecasting & anomaly detection
– 5. ML prototype system design / industry production system / large scale project guideline

实战例子:
课程当中会给出大量工业界一线公司的工作实例和面试题目,内容正在准备中。

课程费用:TBD

课程时间:TBD

开课时间:
戳这里报名下期课程(Sign-up for next live course)

如何​报名

TBD

点这里查看小K数据科学课程其他单元介绍。