解析:选项A可定位到倒数第二段第一句,而该句“As machine learning leaves the lab and goes into practice, it will threaten white-collar, knowledge-worker jobs just as machines, automation and assembly lines destroyed factory jobs in the 19th and 20th centuries”前半部分表示当machine learning离开实验...
In this article, you will learn about the basics of machine learning. Generally, the goal of machine learning is to understand the structure of data and fit that data into models that can be understood and utilized by people. What is Machine Learning A subset of artificial intelligence (AI),...
So now let's get back to some theory and finally actually learn about machine learning and deep learning. Okay, up until now, everything should honestly not take too long, perhaps a few weeks depending on how much time you put in and at what level you already are. But the ML courses ...
Well, in traditional programming, we would feed the input data and a well-written and tested program into a machine to generate output. When it comes to machine learning, input data, along with the output, is fed into the machine during the learning phase, and it works out a program for...
这是华盛顿大学教授佩德罗·多明戈斯(Pedro Domingos)在2012年发表的题为“A Few Useful Things to Know about Machine Learning(PDF)”的期刊文章的主题。 这是一个开篇具有极大吸引力的有趣文章: developing successful machine learning applications requires a substantial amount of “black art” that is hard to...
说来有些巧合,豆包推荐了这篇论文,读完之后感触颇深,分享给大家。 论文中提到了10个点,不一一列举,只说有一部分 泛化能力才重要 泛化是机器学习里非常重要的一个概念,我们在训练集上学习,目标是在未知的测试集上评估性能,训练误差不等同于测试误差。通常我们会假设测试集和训练集是相同的数据分布,但更进一步,...
LEARNING = REPRESENTATION +EVALUATION + OPTIMIZATION(学习=表示+评估+优化) 机器学习有许多可用的学习算法,主要有三个部...
Your Machine Learning You’re Confused You have a machine learning problem to solve, but you’re confused about what exactly machine learning is. There’s good reason to be confused. It is confusing to beginners. Machine learning is a large field of study, and not all much of it is going...
Understand data science for machine learning - Training Machine learning is enables data scientists make predictions about objects, people, and the future. This learning path is a high-level introduction to machine learning for people with little or no knowledge of computer science or statistics....
《A Few Useful Things to Know About Machine Learning》翻译与解读了解机器学习的一些有用的东西 key insights 重要见解 Learning = Representation + Evaluation + Optimization 学习=表示+评估+优化 It’s Generalization that Counts 重要的是概括 ...