This repository contains the problem sets for Stanford CS229 (Machine Learning) on Coursera translated to Python 3. It also contains some of my notes.Check out the course website and the Coursera course. Please note that your solutions won't be graded and this repo is not affiliated with Co...
CS103 Mathematical Foundations of Computing (Fall 2021) CS103 Mathematical Foundations of Computing CS103A Math Problem-Solving Strategies CS106A Programming Methodologies CS106A Programming Methodology🎦 CS106L Standard C++ Programming CS109 Probability for Computer Scientists ...
Coursera上的Machine Learning想来大家都有所耳闻,不过那是简化版本,Stanford教学版本深度要大得多,附件中是整理好的该课程所有的笔记和作业问题集,包括Lecture notes、section notes、Supplementary Notes和problem sets。 上传者:sapphirehx时间:2018-02-06
2. Jure Leskovec是Pinterest的首席科学家, 也是数据科学和网络分析领域的领军人物。推荐上他教的CS246: Mining Massive Datatsets, 内容主要是differentML algorithms are applied to data at scale,这节课同样也是很强调math. Jure Leskovec 课程:CS246: Mining massive datasets 职位名称:associate professor of Co...
Thus understood, essences ofnatural kinds, i.e., their “natures”, need be neitherintrinsic nor be possessed by all and only members of the kinds.Instead, essences consist of property clusters integrated bystabilising mechanisms (“homeostatic property clusters”,HPCs). These are networks of ...
MathBot – A Deep Learning based Elementary School Math Word Problem Solver by Anish Nayak, Rajeev Patwari, Viswanathan Subramanian: report poster Multi-Language Intent Prediction by Junhua Zhao, Rongbin Li, Yuehao Wu: report poster Multi-modal Model for Sentence Level Captioning by Hikaru Hotta...
吴恩达这些年,从谷歌大脑项目到创立Coursera再到百度首席科学家再再到最新开设了深度学习deeplearning.ai,辗转多年依然对CS229不离不弃。 个人认为:吴恩达的机器学习课程在机器学习入门的贡献相当于牛顿、莱布尼茨对于微积分的贡献。区别在于,吴恩达影响了10年,牛顿影响了200年。(个人观点) 本课程提供了一个广泛的介绍...
One problem that can happen with mats is the snake crawls through water then goes to the mat and the water heats up (with a higher specific heat it is harder to heat but when it is heated it loses heat slower) and that can harm the reptile. Now with a mat you have some form ...
吴恩达这些年,从谷歌大脑项目到创立Coursera再到百度首席科学家再再到最新开设了深度学习deeplearning.ai,辗转多年依然对CS229不离不弃。 个人认为:吴恩达的机器学习课程在机器学习入门的贡献相当于牛顿、莱布尼茨对于微积分的贡献。区别在于,吴恩达影响了10年,牛顿影响了200年。(个人观点) 本课程提供了一个广泛的介绍...