Hello :) Today is Day 14!
A quick summary of today:
- Advanced learning algorithms - Coursera
Andrew Ng and Professor Yaser S. Abu-Mostafa’s teaching methods are similar so I am really enjoying this!
Today I learned about:
- model selection
When selecting a model, keep in mind the words “Do not use test data.” You must select a model based on the training and verification datasets to evaluate the model with test data!
- bias vs variance, and regularization
Andrew Ng said that bias and variance theory can be understood, but the difference can only be understood when creating a model. In the future, I should consider bias and variance when making a model
In neural nets, lambda can also be an important hyperparam
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random forest
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decision trees and neural nets
Today was great! Tomorrow I will learn about Unsupervised Learning, Recommenders, Reinforcement Learning
That is all for today!
See you tomorrow :)