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所在平台: Udemy |
课程主页: https://www.udemy.com/course/julialang/
课程评论：没有评论
**课程名称：** Julia编程：数据科学与机器学习 **课程概述：** 本课程旨在介绍Julia编程语言，这是一种兼具Python的易用性和C的执行速度的下一代科学计算语言。学习者将了解Julia如何在提供如同Python般的便捷编码体验的同时，实现高性能的计算，使其成为生产环境下的理想选择。 **课程内容亮点：** * **Julia入门与基础：** 涵盖Julia的安装、基本概念，包括数字、变量、字符串等。 * **数据结构：** 深入学习Julia的集合类型，如字典(dictionary)、集合(sets)和元组(tuples)。 * **函数与模块：** 讲解Julia的包管理系统以及如何创建和使用函数。 * **数值计算：** 重点介绍向量(vector)和矩阵(matrix)相关的操作，以及如何使用Julia进行线性代数运算。 * **数据科学应用：** 学习使用DataFrame包进行数据处理，并利用Plots包进行数据可视化。 * **机器学习实践：** 以GLM包为例，讲解如何在Julia中实现线性回归和多元回归。 **适合人群：** 对Python感兴趣，追求高性能计算，并希望学习一门易用且高效的科学计算语言的学习者。 **授课讲师：** Ankit Mistry **课程特色：** 提供30天退款保证。
Do you like Python, you enjoy writing python code. It's very easy to code in python. But python is slow. So production require very high performance computing.So we need a language which is easy to work like python and as fast as low level programming language like C.Julia is the programming language which looks like Python and execute like C.If you want to learn next generation fast scientific computing language and easy to work with Julia is the right solution for you and you have come at a right place to learn the Julia.This course mainly focus on data science aspect of Julia. Although I am going to start with Julia introduction installation and major basic concepts related to Julia.Following topics we are going to cover in this course.Introduction to Julia and installationJulia basics number variable send stringJulia collections, dictionary, sets and tuples.Julia package management system and creating function in JuliaVector and matrix related operation in JuliaLinear algebra with JuliaData frame packageAnd plotting with plots package in JuliaLinear and Multiple Regression with GLM packageUdemy consider 30 days money back guarantee, so no need to worry about anything.Get it enrolled in the course.And I will see you inside the course.Happy learningAnkit mistry
