But if it's not 'explicitly programming' a model to allow the weights to 'arrive' at an ideal arrangement given the data, in effect we're still just 'learning' weights for a linear regression …

Sep 27, 2019 · Machine learning is certainly not (just) linear regression, but if you know linear regression many of the concepts can transfer to other algorithms, mainly to supervised learning.

Oct 17, 2019 · For one of the marketing offers, they used a linear regression model using 13 weeks of data to predict the next 16 weeks and called it 'Highly Optimized Machine Learning …

Oct 10, 2021 · Some linear regression models may assume that the residuals are normally distributed; but this is not generally the case. Most machine learning algorithms do not assume …

Mar 7, 2023 · Linear regression lies inside supervised learning. Other techniques like logistics regression, NN and svm etc also lie inside supervised machine learning categories. P. S …

May 10, 2023 · I don’t know why but it seems too simple, when using the linear regression model, are there any others ways of learning simple linear regression, also is it worth learning how to …

I've seen many junior data scientists and data science aspirants disregard linear regression as a very simple machine learning algorithm. All they care about is deep learning and neural …

Logistic regression is L2 penalized by default, i.e. there actually is no logistic regression classifier using out-of-the-box defaults, only a ridge classifier which you can use to do logistic regression …