machine learning - What is Ground Truth - Data Science Stack Exchange
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 disprove research …
Source of Arthur Samuel's definition of machine learning
14 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 …
Definition of a model in machine learning - Data Science Stack Exchange
Jul 21, 2016 · 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 of model in ML is …
neural network - What does embedding mean in machine learning?
Jun 18, 2019 · 11 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-dimensional …
What are bias and variance in machine learning?
Aug 12, 2020 · Ensembles of Machine Learning models can significantly reduce the variance in your predictions. The Bias-Variance tradeoff If your model is underfitting, you have a bias problem, and …
machine learning - What is the exact definition of VC dimension?
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 dimension can be …
What does Logits in machine learning mean?
Apr 30, 2018 · "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 ?
machine learning - Dimensionality and Manifold - Data Science Stack ...
May 6, 2015 · What does the Wikipedia even mean in layman terms? It sounds like some bizarre definition like most machine learning definition? They are both spaces, so what's the difference …
machine learning - What are tokens and tokenizations? - Data Science ...
May 22, 2019 · "Tokens" are usually individual words (at least in languages like English) and "tokenization" is taking a text or set of text and breaking it up into its individual words This is by far …
What does it mean when we say an algorithm/metric is agnostic
Oct 9, 2019 · 5 Problem I have all kinds of machine learning terms that co-occur with the word "agnostic", including model-agnostic learning, model-agnostic metric. From the dictionary, it explains …