After training, the model is evaluated. This involves using the test set to see how well the ML model performs on unseen data. Metrics like accuracy,precision, and recallcan be used to measure performance. Model Fine-Tuning After the evaluation, the model may need human help to adjust parame...
eg. 下棋:(传统方法:game tree; ML: learning from board data) Statistics:use data to make inference about unknown process g is an inference outcome(预测推论的结果) ;f is something unknown statistics can be used to achieve ML
What is machine learning
In many ways, the problem of machine learning is a version of thegeneral problem of adaptive evolution, as encounteredfor example in biology. In biology we typically imagine that we want to adaptively optimize some overall “fitness” of a system; in machine learning we typi...
Statistics - Machine LearningThe F-measure or F-score is one of the most commonly used single number measures in Information Retrieval, Natural Language Processing and Machine Learning, but it is based on a mistake, and the flawed assumptions render it unsuitable for use in most contexts!
which instruct the system on what output variable is related to each specific input value. The trained model is then presented with test data. This is data that has been labeled, but the labels haven't been revealed to the algorithm. The aim of the test data is to measure how accurately...
(CPI)measureofinflation.Successive governments have permitted such increases on thegrounds that the cost of investing in and running the rail networkshould bebornebythosewhouseit, rather than the general tax paye iWhy,theargumentgoes,should a car-driving pensioner fromLincolnshire have to subsidise ...
Each layer may have tens, hundreds, or thousands of artificial neurons, but the number of neurons is not what AI researchers focus on. Instead, they measure models by the number of connections between neurons. The strengths of these connections vary based on their cell equations’ coefficients,...
But the agent is essentially teaching itself, and the rewards often aren't easy to define or measure, especially with complex tasks, such as NLP. The result is an easily confused chatbot that makes no sense to the user. The goal of RLHF is to train language models to generate text that...
Sentence similarityMeasure how similar two sentences are. Simple ML.NET app The code in the following snippet demonstrates the simplest ML.NET application. This example constructs a linear regression model to predict house prices using house size and price data. ...