|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/calculus-data-science/
课程评论：没有评论
课程名称：Math 0-1：数据科学与机器学习的微积分 课程概述：您想进入机器学习和数据科学，但面对繁杂的数学知识感到困扰？您可能从未学习过这些数学，或者是学得太久而忘记了。为了解决这个问题，我创建了这门课程。微积分是机器学习的重要数学基础，它是理解概率和统计的必要条件，这些构成了数据科学的基础。深度学习和神经网络背后的反向传播算法实质上就是微积分。 如果您希望深入掌握机器学习，而不仅仅是从博客和教程中复制库代码，您就必须学会微积分。通常，微积分分为三门课程，学习时间大约需要1.5年。然而，我将这些知识精简为必要的内容，使您可以在几个小时内学习所有重要概念，而不必耗费数年。 本课程将覆盖微积分1（极限、导数及其重要规则）、微积分2（积分）和微积分3（向量微积分），并增加一些您在常规大学课程中通常见不到的机器学习相关材料。我们还将使用Python编程语言演示许多概念（不必担心，本课程不需要您具备Python基础）。 总之，这门课程没有枯燥的大学微积分内容，而是聚焦于最实用和有影响力的话题，并提供直接适用于机器学习和数据科学的技能，让您能够立即应用这些知识。准备好了吗？让我们开始吧！ 建议的先修知识：对高中数学（函数、代数、三角学）有扎实的理解。
Common scenario: You try to get into machine learning and data science, but there's SO MUCH MATH.Either you never studied this math, or you studied it so long ago you've forgotten it all.What do you do?Well my friends, that is why I created this course.Calculus is one of the most important math prerequisites for machine learning. It's required to understand probability and statistics, which form the foundation of data science. Backpropagation, the learning algorithm behind deep learning and neural networks, is really just calculus with a fancy name.If you want to do machine learning beyond just copying library code from blogs and tutorials, you must know calculus.Normally, calculus is split into 3 courses, which takes about 1.5 years to complete.Luckily, I've refined these teachings into just the essentials, so that you can learn everything you need to know on the scale of hours instead of years.This course will cover Calculus 1 (limits, derivatives, and the most important derivative rules), Calculus 2 (integration), and Calculus 3 (vector calculus). It will even include machine learning-focused material you wouldn't normally see in a regular college course. We will even demonstrate many of the concepts in this course using the Python programming language (don't worry, you don't need to know Python for this course). In other words, instead of the dry old college version of calculus, this course takes just the most practical and impactful topics, and provides you with skills directly applicable to machine learning and data science, so you can start applying them today.Are you ready?Let's go!Suggested prerequisites:Firm understanding of high school math (functions, algebra, trigonometry)
