machine learning - What is the difference between AI, ML, NN and DL ...
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, amongst …
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 …
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 …
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 where I have features like '
machine learning - How to determine which features matter the most ...
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 to users, i.e. try …
machine learning - Do model training pipeline should run on dev ...
Feb 21, 2023 · Do we train the model in three different environments? (IMO, No, but looking for justifications and understanding industry best practices) How do the dev, staging, and production …
machine learning - What's The Difference Between The Terms Predictor ...
The difference is likely in the community that uses the terms. For computer vision/ml, the term "feature" is commonly used.
Best practices to store Python machine learning models
What are the best practices to save, store, and share machine learning models? In Python, we generally store the binary representation of the model, using pickle or joblib.
machine learning - How important is the input data for a ML model ...
Last 4-6 weeks, I have been learning and working for the first time on ML. Reading blogs, articles, documentations, etc. and practising. Have asked lot of questions here on Stack Overflow as well.
machine learning - How many features is too many when using feature ...
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 might agree …