Applied machine learning is the development of a learning system to address a specific learning problem.
这不是一个容易解决的问题,但如果使用其他算法,则可以用更少的数据解决相关的机器学习问题。
This isn't an easy problem to deal with and many machine learning problems can be solved well with less data if you use other algorithms.
如果您有未标记的数据并且想要查找结构,那么这是一个无监督的学习问题。
If it's unlabeled data with the purpose of finding structure, it's an unsupervised learning problem.
在完成这三步以后,你将真正的接触和面对更加困难的机器学习问题和常见的数据科学应用。
After completing these 3 steps, you will be ready to attack more difficult machine learning problems and common real-world applications of data science.
学习机器学习的一种更好方法,开始学习处理端到端的机器学习问题.
A better approach to learning machine learning that starts with working machine learning problems end-to-end.
这种位于试管中的人工智能系统通过识别手写数字,可以解决典型的机器学习问题。
This artificial intelligence system in a test tube solves typical machine learning problems by recognizing handwritten numbers.
他的研究兴趣围绕着决策者与其环境交互时所面临的学习问题,他将其看作是人工智能的核心问题。
His research interests center on the learning problems facing a decision-maker interacting with its environment, which he sees as central to intelligence.
一是语义理解,即知识、常识的学习问题。
The first is semantic understanding, that is to say the problem of learning knowledge or common sense.
一是语义理解,或者说知识的学习,或常识的学习问题。
The first is semantic understanding, that is to say the problem of learning knowledge or common sense.
他的研究兴趣集中在决策者与环境相互作用所面临的学习问题上,他认为这是人工智能的核心。
His research interests center on the learning problems facing a decision-maker interacting with its environment, which he sees as central to intelligence.
Please Note: There is a strong bias towards algorithms used for classification and regression, the two most prevalent supervised machine learning problems you will encounter.
Those eight programmes, managed as a'knowledge cohort', within the Trust Fund, are guided by a common set of learning questions and approaches to baseline data collection.
下面是在本书中讨论的一些真实的学习问题..
Here are some examples of real learning problems that are discussed in this book.
现在我们已经了解了神经网络,下面看看如何将它们用于有监督的学习问题。
Now that we have an intuition of what neural networks are, let's see how we can use them for supervised learning problems.
我们可以将其转化为一个有监督的学习问题,其中每个时间戳都可以根据所需的片段进行分类。
We can convert this into a supervised learning problem, where each time stamp can be classified on the basis of the segments required.
相对于一个有监督的学习问题来说,它们提供了一个完全不同的挑战--有更多的空间来试验我的数据。
They offer a completely different challenge to a supervised learning problem- there's much more room for experimenting with the data that I have.
幼稚园的学生还学习问题的形式语言的表达。
Kindergarten students also learn expression of language in the form ofquestions.
许多现实中的机器学习问题都可以归纳为这一类。
Many of the realistic-world machine learning related problems fall into this category.
与大多数的机器学习问题类似,我们还是需要一个学习速率。
Similar to most machine learning problems, we will need a learning rate as well.
这属于典型的机器学习问题,即根据携带噪音的数据做出预测。
This is an obvious problem for machine learning, which is all about making predictions based on noisy data.
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