Designed with insights from advisors from the top 50 tech companies, this program is considered to be the most popular online course in Data Science and Machine Learning. The course adds value to you as a developer and enables you to understand the mathematics behind multiple machine-learning alg...
计算机 基础知识,原理 编程技能 MatLab, Octave(free),R 概率统计:Stat 116 线性代数: math 113, cs 205 跨学科: 生物,统计, 计算机 online resources:http://cs229.stanford.edu https://see.stanford.edu/Course/CS229/47 homework, handout, lecture notes, math and equations newsgroup:http://su.clas...
courserastanford-universitycoursera-machine-learningstanford-machine-learningstanford-onlinecoursera-specialization UpdatedAug 15, 2022 Jupyter Notebook sohansai/machine-learning-andrew-ng Star23 Code Issues Pull requests This repository contains codes of Andrew Ng's course Machine learning ...
Machine Learningby Andrew Ng. Again, one of the first classes, by Stanford professor who started Coursera, the best known online learning provider today. Andrew Ng is a world class authority on machine learning, and this course is a good place to start. It features well chosen topics (notabl...
Get information about online machine learning courses & certifications eligibility, fees, syllabus, admission, scholarship. Know complete details of admission process, scope & career opportunities, placement & salary package.
These are some programming exercise of Stanford Machine Learning Online Course. The algorithms were coded in python or matlab including: 1.Anomaly Detection and Recommender Systems 2.Decision Trees&Boosting 3.HMM 4.K-Means Clustering and PCA 5.Linear Regression 6.Logistic Regression (matlab/octave)...
2. 学习曲线 ( learning curve) function [error_train, error_val] = ... learningCurve(X, y, Xval, yval, lambda) m = size(X,1);error_train = zeros(m,1);error_val = zeros(m,1);X=[ones(m,1) X];mval=size(Xval,1);Xval=[ones(mval,1) Xval];for i =1: m ...
Machine Learning - Stanford University 地主家傻儿子in关注IP属地: 辽宁 2021.02.11 03:48:58字数3,605阅读681 Course syllabus Week 1: Introduction Model and Cost Function Gradient Descent Linear regression with one variable Linear algebra review Week 2: Linear regression with multiple variables Octave/...
Machine Learning (Stanford) Platform:Coursera Description:This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). ...
Stanford to offer Free Machine Learning with Graphs course online from fall The course focuses on computational, algorithmic, and modelling challenges specific to the analysis of massive graphs. Published onFebruary 7, 2022 bySharathKumar Nair