Coursera Machine Learning Notes (iv)

Source: Internet
Author: User

Mainly for the sixth week Content machine learning application recommendations and system design.

What to do next

When training good one model, predicting unknown data discovery, how to improve it?

    1. Get more examples of training
    2. Try to reduce the number of features
    3. Try to get more features
    4. Try adding two-item features
    5. Try to reduce the degree of normalization λ
    6. Try to increase the degree of normalization λ

Do not rush to try these methods, but through a number of machine learning diagnostic methods to determine what the current algorithm is, which methods can improve the effectiveness of the algorithm, how to choose a more meaningful method.

?

How to evaluate a model

Diagnostic methods

A Deviations and variances

Two Normalization

Three Learning curve

Look back.

More data is good?

Error analysis

Precision & Recall

Coursera Machine Learning Notes (iv)

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