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.
Python Machine Learning Yearning book by🅰️𝓷𝓭𝓻𝓮𝔀 🆖 machine-learningdeep-learningmachine-learning-courseradeeplearning-aimachine-learning-yearningandrew-ng-machine-learningandrew-ng-machine-learning-yearningdeep-learning-andrew-ng
对于此仓库的Octave / MatLab版本,请查看machine-learning-octave项目。 本仓库包含在Python中实现的流行机器学习算法的示例,其中包含算法背后的解释。 每个算法都有交互式Jupyter Notebook演示,你可以使用它来训练数据和算法配置,并立即在浏览器中查看结果、图表和预测。 在大多数情况下,算法的解释是基于Andrew Ng的伟大...
翻译同步至Github:https://github.com/yingzk/Machine-Learning-YearningPart1中文版下载:https://yingjoy.cn/downloads/MLY/CN_Ng_MLY01.pdfPart2中文版下载:https://yingjoy.cn/downloads/MLY/CN_Ng_MLY02.pdfPart3中文版下载:https://yingjoy.cn/downloads/MLY/CN_Ng_MLY03.pdf点击即可下载 本站正在...
• 了解Machine Learning 基本算法 • 会用Matlab / Octave / python建构Machine Learning • 熟悉Anaconda、jupyter等功能及环境介面 • 了解Deep Learning Framework( 如Tensorflow、keras、PyTorch 等) 建议菜单序 1. 网络课程(视频课程) • 1-a. Coursera的Machine Learning(=CS229a, less math, run @...
7. Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy) This course is meant to teach you the fundamentals of Machine Learning and Data Science from A-Z. It is a great course for students who want to learn Data Science and Machine Learning, as well as for professionals ...
Healthcare analytics, AI solutions for biological big data, providing an AI platform for the biotech, life sciences, medical and pharmaceutical industries, as well as for related technological approaches, i.e., curation and text analysis with machine learning and other activities related to AI ...
Free Course Trial – Deep Learning Certification by DeepLearning.ai – Andrew Ng (Coursera) A lot of learners, opt to learn Deep Learning along with Machine Learning. If that’s what’s on your mind, then this is undoubtedly one of the most sought after deep learning courses out there. ...
Machine Learning for Humans Part1: 世界上最简单的机器学习入门 机器学习的理念是,有一些通用算法可以告诉你有关一组数据的有趣信息,而无需编写任何特定于问题的自定义代码。您可以将数据提供给通用算法,而不是编写代码,并根据数据构建自己的逻辑。 您可以将机器学习算法视为两个主要类别之一 - 监督学习和无监督...
Machine Learning for iOS 原文:https://github.com/alexsosn/iOS_ML iOS开发人员的主题资源列表,主题如下: 核心ML 机器学习库 深度学习图书馆 深度学习:模型压缩 计算机视觉 自然语言处理 语音识别(TTS)和生成(STT) 文本识别(OCR) 其他AI 机器学习Web API...