Matthew Kirk

I took this book, while I am struggling to finish Pattern Recognition by Bishop.

Overall, an Excellent Gentle Introduction to Machine Learning.

I think, I'd recommend this as your first Machine Learning book if you want to know the basics. I have a summary of the book, if you want, do message me. Here is the outline

Outline:

### 1 Probably Approximately Correct Software

### 2 A Quick Introduction to Machine Learning

### 3 K-Nearest Neighbors

### 4 Naive Bayesian

### 5 Decision Trees and Random Forests

### 6 Hidden Markov Models

### 7 Support Vector Machines

### 8 Neural Networks

### 9 Clustering

### 10 Improving Models and Data Extraction

### 11 Putting it Together: Conclusion

Deus Vult,
Gottfried

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