|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-an-open-source-time-series-lib-from-scratch-in-rust/
课程评论：没有评论
课程名称：在Rust中构建时间序列库并发布到Cargo 概述：想在学习Rust的同时构建一些有用的东西吗？在本课程中，您将从零开始创建一个开源的时间序列库，且不使用任何外部库依赖，全部使用Rust语言完成！ 您将学习的内容： - 时间序列数据的定义及其应用（如股票、气象、传感器等）。 - Rust的基础知识及其在数据处理中的关键特性。 - 如何从头构建时间序列函数，例如移动平均、趋势检测、ARIMA、SARIMA模型等。 - 时间序列模型背后的数学概念和方程。 - 如何利用Rust的速度和内存安全性来优化性能。 - 如何将您的Cargo库开源并与他人分享。 目标群体： - 想通过实际项目学习Rust的开发者。 - 对时间序列分析和机器学习感兴趣的任何人。 - 寻求创建高性能数据工具的工程师。 - 希望为开源项目做出贡献的任何人。 - 想要探索Rust在时间序列分析中应用的数据科学家或分析师。 课程优势： - 通过实际操作逐步构建时间序列模型，无需外部库依赖。 - 初学者友好的模块：无需先前的Rust经验。 - 职业发展：为您的技能增加Rust和时间序列的专业知识。 课程结束时，您将拥有自己的基于Rust的时间序列库，随时可以使用和分享！
Want to build something useful while learning Rust? In this course, you will create an open-source time-series library from scratch without any external library dependencies using Rust!What You Will Learn:What time-series data is and where it is used (stocks, weather, sensors, etc.)Rust basics and key features for data processing.How to build time-series functions like moving averages, trend detection, ARIMA, SARIMA model from scratch, and much more..Mathematical concepts and equations behind Time series models.How to optimize performance using Rust's speed and memory safety?How to open-source your cargo library and share it with others?Who Is This Course For?Developers who want to learn Rust by building a real project.Anyone interested in time-series analysis and machine learning.Engineers looking to create high-performance data tools.Anyone who wants to contribute to open-source projects.Data scientists or analysts who want to explore Rust for time-series analysis.Why Take This Course?Hands-on learning: build a time series model from scratch step by step without any external library dependencies.Beginner-friendly modules: No prior Rust experience neededCareer growth: Add Rust and time-series expertise to your skillsetBy the end of this course, you will have your own Rust-based time-series library ready to use and share!
