李航的《统计学习方法》能够当提纲參考。cs229除了lecture notes。还有session notes(简直是雪中送炭。夏天送风扇,lecture notes里那些让你认为有必要再深入了解的点这里能够找到),和problem sets。假设细致读。资料也够多了。 线性回归 linear regression 通过现实生活中的样例。能够帮助理解和体会线性回归。比方某日,某...
李航的《统计学习方法》能够当提纲參考。cs229除了lecture notes。还有session notes(简直是雪中送炭。夏天送风扇,lecture notes里那些让你认为有必要再深入了解的点这里能够找到),和problem sets。假设细致读。资料也够多了。 线性回归 linear regression 通过现实生活中的样例。能够帮助理解和体会线性回归。比方某日,某...
李航的《统计学习方法》可以当提纲参考。cs229除了lecture notes,还有session notes(简直是雪中送炭,夏天送风扇,lecture notes里那些让你觉得有必要再深入了解的点这里可以找到),和problem sets,如果仔细读,资料也够多了。 线性回归 linear regression 通过现实生活中的例子,可以帮助理解和体会线性回归。比如某日,某屌丝...
02-7. Problem sets - cash/credit作业讲解 & 贪心算法 | C语言基础 | CS50 Week1 C - 7 | 零基础转码系列 1026 -- 25:40 App 02-5. 整形溢出 & 小数精度相关问题 Week1正课最后一期! | C语言基础 | CS50 Week1 C - 5 | 零基础转码系列 973 17 32:46 App 02-4. 条件控制 & 循环语句怎...
CS 229 Machine Learning Course Materials Handouts and Problem Sets Handout #1: Course Information (HTML) Handout #2: Course Schedule (HTML) Handout #3: Final Project Guidelines (PDF) Problem Set 1 (pdf)Data:q1x.dat,q1y.dat,q2x.dat,q2y.datPS1 Solution (pdf) ...
fically, when the data is in- deed non-Gaussian, then in the limit of large datasets, logistic regression will 1This uses the convention of redefining the x(i)’s on the right-hand-side to be n + 1- dimensional vectors by adding the extra coordinate x(i) = 1; see problem ...
课程机器学习斯坦福andrew ng教授cs229 lecture10.pdf,MachineLearning-Lecture10 Instructor (Andrew Ng):So just a couple of quick announcements. One is, first, thanks again, for all of your Problem Set 1 submissions. They’ve all been graded, and we’ll retu
CS9 Problem-Solving for the CS Technical Interview CS197 Computer Science Research CS238 Decision Making under Uncertainty EE185/285, CS241 Interactive Light Sculpture Project CS348E Character Animation: Modeling, Simulation & Control CS476A Music, Computing and Design I ...
We will introduce a common programming framework for deep learning for the problem sets.Prerequisites: programming abilities (python), linear algebra, MATH 21 or equivalent, machine learning background (CS 229 or similar) Recommended: CS 224N, EE364a (convex optimization), CS 231N. CS 224N. ...
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