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 …
machine learning - What is the difference between AI, ML, NN and …
Nov 18, 2020 · Machine Learning (ML) Neural Network (NN) Deep Learning (DL) Data Science My current understanding is that each of these encapsulates some set of algorithms. I feel like, …
machine learning - What is Ground Truth - Data Science Stack …
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 …
machine learning - How to train ML model with multiple variables ...
Oct 2, 2018 · I am trying to learn Machine Learning concepts these days. I understand in a traditional ML data, we will have features and labels. I have following toy data in my mind …
machine learning - How to determine which features matter the …
Mar 12, 2020 · I also have a column that shows which loan has been selected at the end by the user per each search. I am looking to find out which features of the loan were most important …
'Solvers' in Machine Learning - Data Science Stack Exchange
May 17, 2022 · 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?
machine learning - What's The Difference Between The Terms …
The difference is likely in the community that uses the terms. For computer vision/ml, the term "feature" is commonly used.
machine learning - What are the disadvantages of Azure's ML vs a …
Azure ML seems to allow hooks into Python or R to give you more control and it sure would be appealing to have to do less work to get the same results. What are the known disadvantages …
What are the most known ML-models that use complex numbers?
Oct 22, 2021 · You could always split the complex number into two, the real and complex part, so 2 columns and use a regular ML model, if this makes sense.
machine learning - How many features is too many when using …
Jul 9, 2023 · Probably use ML based techniques (like Forest or Boosting based importances etc). This is just my opinion and preferance as this has worked for me pretty well, but many people …