吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现. Contribute to liugy111/python-machine-learning development by creating an account on GitHub.
Girolami's Machine Learning Module (GitHub Mirror). "Good for people with a strong mathematics background." An epic Quora thread: How can I become a data scientist? ujjwalkarn/Machine-Learning-Tutorials There are more alternatives linked at the bottom of this guide Getting Help: Questions, ...
The course introduces students to the basic concepts of machine learning by using the well-known programming language Python, and its applications in fields ranging from healthcare, telecommunications, and finance to high-performance computing. Additionally, it discusses the differences between supervised ...
aasso1340 Copper ContributorJan 26, 2025Place AI - Machine LearningAI - Machine Learning 49Views 0likes 3Comments Aidemos Microsoft site doesn't work https://aidemos.microsoft.com/ Hello MS team, I am learning AI-900 in Coursera. The course guides me to try AI demos on https://aidemos...
(Thoughtful Machine Learning: A Test-Driven Approach),Java(Java-ML),Scala(Breeze),Lua(Torch), and so on. However, except for a Java class I attended years ago, orPySpark, a Python API for Spark, which is written in Scala, I really don’t have much experience with those languages and...
Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN)@iamtrask Stanford 机器学习课程整理 [coursera 机器学习课程] Machine Learning by Andrew Ng@zhwhong [斯坦福CS231n课程整理] Convolutional Neural Networks for Visual Recognition(附翻译,下载)@zhwhong ...
网址:https://www.coursera.org/specializations/deep-learning 同样是吴恩达主讲,不同的是,这门专项课程属于高阶系列课程,适合那些有兴趣学习神经网络与深度学习、并利用它们来解决问题的人。 这门课程涉及神经网络的作业和讲座将采用 Python 语言以及 TensorFlow 库。不用说,这是学习完吴恩达《机器学习》课程后的最佳...
https://www.coursera.org/specializations/machine-learning 课程的作业主要分两部分,一部分是根据课程的知识点回答问题,还有一部分是根据编程来回答问题,这里提供了编程的内容,仅供参考,如有错误请指正。 官方数据及题目地址: https://github.com/learnml/machine-learning-specialization ...
Mathematics for Machine Learning A single resource, in the form of a simple website built with GitHub Pages, which will hopefully serve as a complete crash course on the various areas of mathematics essential to understanding machine learning. To do this, I will use the Mathematics for Machine...
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