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