deep learning.ai 相信很多同学认识吴恩达大佬,在这门课上( machine earning specialization)你将自己编程实现机器学习。数百万人参加了这门课程的早期版本许多学习者,最终建立了令人兴奋的机器学习系统,甚至在人工智能AI领域获得非常成功的职业生涯。欢迎你的到来 (配套课件、笔记已整理,随工房附送,求三连! ) 展开更多...
github:https://github.com/kaieye/2022-Machine-Learning-Specialization Course code and test content have been updated welcome to pull request, whether it is to supplement learning files or markdown notes Course Outline Machine learning specialization is divided into 3 parts Part 1:Supervised Machine ...
This year I completedStanford / DeepLearning.AI’s Machine Learning Specialization. In this post I summarise the high-level points, glossing over the technical complexity. What is machine learning? Machine learning is a sub-field of artificial intelligence. It is “the science of getting computers...
coursera上吴恩达的《machine learning》的所有大作业Code,仅供大家参考之用。 coursera 机器学习 吴恩达2015-08-11 上传大小:28.00MB 所需:50积分/C币 2022-Machine-Learning-Specialization-main.zip 吴恩达机器学习ppt 吴恩达的机器学习课程主要包括两门,一门是在Cousera上的《机器学习》,另一门是他在斯坦福大学教授...
perhaps a few weeks depending on how much time you put in and at what level you already are. But the ML courses I will now recommend do take some time. The best and probably most famous machine learning course or collection of courses is the machine learning specialization by Andrew Ng. ...
Coursera Machine Learning course offered by AI visionary Andrew Ng has been rebuilt and expanded into this ML specialization comprising of 3 courses, that teach foundational AI concepts through an intuitive visual approach, and introduce the code needed to implement the algorithms and the underlying ...
zangyuzhe/Coursera-Machine-Learning-Specializationmain 1 Branch0 Tags Code This branch is up to date with quocviethere/Coursera-Machine-Learning-Specialization:main.Folders and filesLatest commit quocviethere Update README.md 806928a· Mar 27, 2023 History127 Commits Advanced Learning Algorithms Add ...
1.归纳与演绎:归纳(induction)是指从特殊到一般,从个性中提取共性的 “泛化(generalization)” 过程,演绎(deduction)是从一般到特殊的 “特化(specialization)”。“从样例中学习”当然是一种 “归纳学习(inductive learning)”。 2.归纳学习的狭义与广义之分:狭义的归纳学习要求从训练数据中学得 “概念(concept)”...
Decision Trees, Naïve Bayes Classification, Ordinary Least Squares Regression, Logistic Regression, Support Vector Machines; Unsupervised Learning: Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition along with Python code examples tackling real-life use cases from different indust...
Stanford/DeepLearning.ai: Machine Learning Specialization With nearly 100 hours of content, instructors from Stanford University and DeepLearning.ai, including renowned AI and edtech leader Andrew Ng, walk students through the foundations of machine learning. It also focuses on the applications of AI...