Machine Learning for All

所在平台: CourseraArchive

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课程主页: https://www.coursera.org/archive/uol-machine-learning-for-all

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课程大纲

Machine learning
Data Features
Machine Learning in Practice
Your Machine Learning Project

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Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it. Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it. While it is true that working as a Machine Learning engineer does involve a lot of mathematics and programming, we believe that anyone can understand the basic concepts of Machine Learning, and given the importance of this technology, everyone should. The big AI breakthroughs sound like science fiction, but they come down to a simple idea: the use of data to train statistical algorithms. In this course you will learn to understand the basic idea of machine learning, even if you don't have any background in math or programming. Not only that, you will get hands on and use user friendly tools developed at Goldsmiths, University of London to actually do a machine learning project: training a computer to recognise images. This course is for a lot of different people. It could be a good first step into a technical career in Machine Learning, after all it is always better to start with the high level concepts before the technical details, but it is also great if your role is non-technical. You might be a manager or other non-technical role in a company that is considering using Machine Learning. You really need to understand this technology, and this course is a great place to get that understanding. Or you might just be following the news reports about AI and interested in finding out more about the hottest new technology of the moment. Whoever you are, we are looking forward to guiding you through you first machine learning project. NB this course is designed to introduce you to Machine Learning without needing any programming. That means that we don't cover the programming based machine learning tools like python and TensorFlow.

所有人的机器学习:机器学习(通常称为人工智能或AI)是当前最令人兴奋的技术领域之一。我们每天都会看到一些新闻报道,这些报道预示着面部识别技术,自动驾驶汽车或计算机的新突破,它们可以像真实的人一样进行对话。机器学习技术将彻底改变人类生活和工作的任何领域,因此将影响我们的整个生活,因此您可能想了解更多有关它的信息。机器学习作为计算机科学中最复杂的领域之一而闻名,需要高级数学和工程技能来理解它。虽然作为机器学习工程师的工作确实涉及很多数学和编程,但是我们相信任何人都可以理解机器学习的基本概念,并且鉴于这项技术的重要性,每个人都应该理解。 AI的重大突破听起来像科幻小说,但它们归结为一个简单的想法:使用数据训练统计算法。在本课程中,即使您没有数学或编程背景,您也将学习了解机器学习的基本概念。不仅如此,您还将动手使用伦敦大学金史密斯分校开发的用户友好工具来实际执行机器学习项目:训练计算机以识别图像。本课程适合许多不同的人。这可能是迈入机器学习技术生涯的第一步,毕竟,最好在技术细节之前先从高层次的概念开始,但是如果您的角色不是技术人员,那也很好。您可能正在考虑使用机器学习的公司中担任经理或其他非技术角色。您确实需要了解这项技术,并且本课程是获得这种了解的好地方。或者,您可能只是关注有关AI的新闻报道,并有兴趣了解有关当前最热门新技术的更多信息。无论您是谁,我们都期待着指导您完成第一个机器学习项目。 注意:本课程旨在向您介绍机器学习,而无需任何编程。这意味着我们不会涵盖基于编程的机器学习工具,例如python和TensorFlow。

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