虽然可以单独地对每一个特征组合做处理,但是随着特征数量增加,组合特征数量会呈爆炸增长,处理起来也不现实。 Adversarial Example(对抗样本) Adversarial Example(AE)的作用和Counterfactual Example有点类似,只不过前者是用来对模型进行解释的,而AE是用来迷惑模型的,以此来加强模型的鲁棒性。AE其实也就是最近非常火爆的GAN...
Example-based Machine Learning是什么? Example-based Machine Learning (EML) 是从数据集中选择特殊的样本来进行学习。下面看几个例子来理解: 一个医生给一个病人看病,该病人咳嗽症状与常见的不太一样,而且发烧严重。这让医生想起了之前的一个病人也是这种症状,于是他怀疑该病人可能和之前的那个病人是同样的病因。
In the pursuit of SQL Machine Learning let us now perform the first step of loading this data into Python script which means we are going to convert this data into a Python Data Frame. Now we have to think in terms of variables to do these tasks. For example, there is a variable th...
Application example: photo OCR Software Octave/MatLab Week 1 Course content Machine learning definition ( Field of study that gives computers the ability to learn without being explicitly programmed. ) Machine learning algorithms: Supervised learning and unsupervised learning, reinforcement learning, recommen...
Find out how machine learning (ML) plays a part in our daily lives and work with these real-world machine learning examples.
where explainability is more often intended to help non-experts understand machine learning models. A so-calledblack boxmodel might still be explainable even if it is not interpretable, for example. Researchers could test different inputs and observe the subsequent changes in outputs, using methods ...
In that way, reinforcement learning handles more complex and dynamic situations than other methods because it allows the context of the project goal to influence the risk in choices. Teaching a computer to play chess is a good example. The overall goal is to win the game, but that may ...
For example, a smart car is able to make an observation and detect an object, and can then identify that object using machine learning. Since there are so many different objects in the world, it would be nearly impossible to explicitly code in what every object is or could be into the ...
In that way, reinforcement learning handles more complex and dynamic situations than other methods because it allows the context of the project goal to influence the risk in choices. Teaching a computer to play chess is a good example. The overall goal is to win the game, but that may ...
Example of Machine Learning Say mining company XYZ just discovered a diamond mine in a small town in South Africa. A machine learning tool in the hands of an asset manager that focuses on mining companies would highlight this as relevant data. The model in the machine learning tool would the...