|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/understanding-the-math-behind-ai/
课程评论：没有评论
课程名称：理解人工智能背后的数学 概述：你想了解人工智能（AI）背后的数学知识，并将其应用于现实世界中的问题和应用吗？你想以清晰简单的方式掌握AI背后的数学概念、公式、方法和例子吗？如果你对这些问题回答“是”，那么本课程将非常适合你！欢迎来到“理解人工智能背后的数学”课程。本课程旨在教你AI中使用的基本数学概念，包括高等数学、概率、统计、线性回归、逻辑回归、神经网络和深度学习。无论你是初学者、中级还是高级学习者，本课程都适合你，也非常适合任何希望从事AI职业或爱好的人员，如数据科学家、机器学习工程师、AI研究人员或AI爱好者。 在本课程中，你将学习到： - 什么是AI，数学对于AI的重要性是什么？ - 高等数学的基本和高级主题及其在AI中的应用？ - 概率和统计的基本和高级主题及其在AI中的应用？ - 线性回归和逻辑回归及其在AI中的使用？ - 神经网络和深度学习及其在AI中的应用？ - 优化神经网络的挑战与解决方案及其在AI中的应用？ - 神经网络和深度学习的应用实例以及如何在AI中使用？ 所以，你还在等什么？今天就报名参加本课程，开始学习人工智能背后的数学。你将惊讶于你可以学到和做到的事情。期待在课程中见到你！
Do you want to learn the math behind artificial intelligence (AI) and how to apply it to real-world problems and applications? Do you want to master the concepts, the formulas, the methods, and the examples of the math behind AI in a clear and simple way? Do you want to have access to a powerful and friendly tool that can help you with anything related to the math behind AI? If you answered yes to any of these questions, then this course is for you!Welcome to the course ‘Understanding the Math Behind AI'. This course is designed to teach you the essential math concepts that are used in AI, such as calculus, probability, statistics, linear regression, logistic regression, neural networks, and deep learning. This course is suitable for anyone who wants to learn the math behind AI, whether you are a beginner, an intermediate, or an advanced learner. This course is also ideal for anyone who wants to pursue a career or a hobby in AI, such as data scientists, machine learning engineers, AI researchers, or AI enthusiasts. In this course, you will learn:What is AI and why is math important for AI?What are the basic and advanced topics of calculus and how to use them in AI?What are the basic and advanced topics of probability and statistics and how to use them in AI?What are linear regression and logistic regression and how to use them in AI?What are neural networks and deep learning and how to use them in AI?What are the challenges and the solutions of optimizing a neural network and how to apply them in AI?What are the applications and the examples of neural networks and deep learning and how to use them in AI?So, what are you waiting for? Enroll in this course today and start learning the math behind AI. You will be amazed by what you can learn and do with the math behind AI. See you in the course!
