SignUpIntroduction to Machine Learning for Coders
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
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Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building data products.
4.1 ( 11 )
Today we continue building our logistic regression from scratch, and we add the most important feature to it: regularization. Well learn about L1 vs L2 regularization, and how they can be implemented.
We also talk more about how learning rates work, and how to pick one for your problem.
In the second half of the lesson, we start our discussion of natural language processing (NLP). Well build a "bag of words" representation of the popular IMDb text dataset, using sparse matrices to ensure good performance and reasonable memory use.
Well build a number of models from this, including naive bayes and logistic regression, and will improve these models by adding ngram features.
Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.
