Many people seem to agree that Arthur Samuel wrote or said in 1959 that machine learning is the "Field of study that gives computers the ability to learn without being explicitly programmed". For

In machine learning, the term "ground truth" refers to the accuracy of the training set's classification for supervised learning techniques. This is used in statistical models to prove or …

2021年1月24日 · In machine learning, the model is the center of gravity, everything revolves around it. Yet, people have different definitions of 'model'; but in my opinion, the best definition …

2022年5月17日 · The title refers to Machine Learning but the body of your question does not. Can you clarify if and how your question relates to ML?

Feature and predictor are used interchangeably in machine learning today though I must admit that it seems that feature is being used more than predictor. The definition is the one on …

I'm studying machine learning from Andrew Ng Stanford lectures and just came across the theory of VC dimensions. According to the lectures and what I understood, the definition of VC …

2019年5月27日 · Why are the type 1 and type 2 errors as defined in bankruptcy prediction, different from type 1 and type 2 errors based on confusion matrix? In bankruptcy literature: …

2018年4月30日 · "One common mistake that I would make is adding a non-linearity to my logits output." What does the term "logit" means here or what does it represent ?

2019年6月18日 · In the context of machine learning, an embedding is a low-dimensional, learned continuous vector representation of discrete variables into which you can translate high …

But recently I was asked the meaning of term Variance in machine learning model in one of the interview? I would like to know what exactly Variance means in ML Model and how does it get …