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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dvc-and-git-for-data-science/
课程评论：没有评论
**课程名称：** DVC和Git在数据科学中的应用 **课程概述：** 本课程旨在为数据科学家、机器学习工程师和AI开发者介绍并深入讲解Git和DVC这两个在数据科学项目中至关重要版本控制工具。在软件开发领域，Git已是必不可少的工具，用于追踪和管理代码的变更。然而，对于数据科学项目中的数据和机器学习模型，如何进行有效的追踪和管理仍是一个崭新且资料相对匮乏的领域。 本课程将填补这一空白，通过轻松有趣且无脚本的教学方式，带您深入了解Git和DVC的精髓。您将学会如何使用这两个工具来追踪和管理您的项目中的数据集和机器学习模型，直至整个机器学习项目的生命周期。 **主要学习内容：** * **Git基础知识：** * Git的工作原理 * Git分支在数据科学项目中的应用 * 从零开始构建自定义版本控制工具 * **数据版本控制：** * 数据版本控制的定义、重要性及实现方法 * **DVC（Data Version Control）基础：** * DVC的核心概念和用法 * 如何追踪和版本化您的机器学习模型 * DVC管道（Pipelines）的构建与使用 * **相关工具与实践：** * DAGsHub和GitHub的应用 * Label Studio的使用 * 机器学习实验追踪 * **最佳实践：** * DVC和Git在数据科学项目中的最佳实践 **课程目标：** 完成本课程后，学员将对Git和DVC的基础知识有全面的了解，并能够熟练运用这些工具来管理和追踪机器学习项目中的模型和数据集，贯穿项目的整个生命周期。
Our modern world runs on software and data, with Git - a version control tool we track and manage the different changes and versions of our software. Git is very useful in every programmer's work. It is a must-have tool for working in any software-related field, that includes data science to machine learning.What about the data and the ML models we build? How do we track and manage them?How do data scientist, machine learning engineers and AI developers track and manage the data and models they spend hours and days building?In this course we will explore Git and DVC - two essential version control tools that every data scientist, ML engineer and AI developer needs when working on their data science project.This is a very new field hence there are not a lot of materials on using git and dvc for data science projects. The goal of this exciting and unscripted course is to introduce you to Git and DVC for data science.We will also explore Data Version control, how to track your models and your datasets using DVC and Git.By the end of the course you will have a comprehensive overview of the fundamentals of Git and DVC and how to use these tools in managing and tracking your ML models and dataset for the entire machine learning project life cycle.This course is unscripted,fun and exciting but at the same time we will dive deep into DVC and Git For Data Science.Specifically you will learnGit EssentialsHow Git worksGit Branching for Data Science ProjectBuild our own custom Version Control Tools from scratchData Version Control - The What,Why and HowDVC EssentialsHow to track and version your ML ModelsDVC pipelinesHow to use DAGsHub and GitHubLabel StudioBest practices in using Git and DVCMachine Learning Experiment Trackingetc
