Machine Learning Podcast Learning Notes Apr 18

1. Support Vector Machine (SVM): draw a fat line, like a wall, to classify data set into different categories, dots are support vector and it is used to solve over-fitting problem (vs logistic regression).

 

Non-linear data set can be “converted” to linear ones with Kernel, which is like a goggle, look at the world in a different angle (dark to light).

2. Naive Bayes Classifier

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Resources:

Pattern Recognition and Machine Learning

Machine Learning with R

Machine Learning Map

Machine Learning Algorithms Pros and Cons

Mathematical Decision Making: Predictive Models and Optimization

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Yao Li is a web and iOS developer, blogger and he has a passion for technology and business. In his blogs, he shares code snippets, tutorials, resources and notes to help people develop their skills. Donate $5 to him for a coffee with PayPal at About Me page and read more professional and interesting technical blog articles. Follow him @Yaoli0615 at Twitter to get latest tech updates.
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