楼主本科信息管理,学了点编程的皮毛和一些数学课比如,calculus,probability,
linear algebra, intro to statistics,linear models目前本科最后一学期在学
convex optimization, multiviate statistics然后master想读个深点的CS课程,准备
未来从事Machine Learning方向,请教各路高手帮我看看一下课程哪些是对Machine
Learning比较重要,或者就算是做码农也很重要的课,先谢谢大家先.
1.Microprocessors and Interfacing(ISA, interrupts and I/O interfacing,
serial communication, timers etc)
2.Digital Circuits and System
3.Distributed Systems
4.Computer Architecture(pipelined RISC machines,memory subsystem, I/O, and
system level interconnect)
5.Theory of Computation(Turing Machines, computability, Complexity: run time
, space, too theoretical?)
6.Design & Analysis of Algorithms
7.Advanced and Parallel Algorithms (Spatial, semi-structured and multi-
dimensional data storage and manipulation techniques, non Von-Neumann
techniques, advanced and parallel algorithmic technique)
8.Parameterized and Exact Computation( NP-hard problems, branching, colour
coding, iterative compression, and kernelization)
9.Artificial Intelligence (感觉这课太理论,没什么用?)
10.Knowledge Representation and Reasoning(AI Logics, Probablilistic
Reasoning, Constraints)
