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所在平台: Udemy |
课程主页: https://www.udemy.com/course/nature-of-intelligence/
课程评论：没有评论
课程名称：智能的本质——机器学习高级课题 课程概述： 本课程由大脑科学家兼人工智能发明家 Danko Nikolic 主讲，为所有有志于创造宏伟人工智能解决方案的人士，深入讲解智能的基础知识。当遇到困难时，你会如何应对？在本课程中，你将学习机器智能与人类智能的区别。你将理解人工智能为何以及何时会失败。机器智能并不像我们人类那样拥有狭窄局限的工作记忆（即短期记忆）。那么，我们的工作记忆是如何让我们比机器更聪明？我们为何能理解世界，而机器却不能？你还将学习机器学习的基本定理，并了解它们如何应用于机器智能和人类智能。 学完本课程，你将能够判断一个机器学习项目是否过于宏大，或者是否有可能成功。你将能够识别困扰过去一些宏伟人工智能项目的根本性问题。你将理解机器为何几乎不可能达到人类智能水平。此外，你还将学习机器学习中的一些技巧为何有时有效，有时无效。你将理解制造自动驾驶汽车为何如此困难。 本课程提供的基础知识在任何其他课程或书籍中都找不到。这些基础知识将对你未来在机器学习和人工智能领域的工作具有极高的价值。 课程大纲：无
In this course Danko Nikolic a brain scientists and AI inventor explains the fundamental of intelligence nedded for everyone interested in creating ambitious AI solutions. What you do when things get tough? In the course you will learn the differences between machine intelligence and human intelligence. You will understand why AI fails and when. AI does not have a narrowy limited working memory (a.k.a., short-term memory) but we humans do. How does our working memory make us more intelligent than machines? Why do we understand the world and machines don't? You will also learn fundamental theorems for machine learning and see how they apply to machine intelligence and human intelligence. After having learned that, you will be able to judge whether an ML project is too amitious or is likely to succeed. You will be able to identify fundamental problems that plaqued some of the ambitious AI projects in the past. You will understand why it is nearly impossible for machines to reach human levels of intelligence. Also, you will learn why some of the tricks in machine learning sometimes work and other times not. You will understand why it is so difficult to build self-driving cars.The course offers fundamentals that you cannot find in any other course or a book. These fundamentals will be invaluable for your future work on ML and AI.
