I'm mainly interested in Machine Learning algorithms. I've read the first 75 pages of this book, and skimmed most of Mackay, and I prefer this one. It goes into

I'm mainly interested in Machine Learning algorithms. I've read the first 75 pages of this book, and skimmed most of Mackay, and I prefer this one. It goes into a lot more detail on the performance of different algorithms, how the handle sparse data, error rates and high dimensionality. McKay's looks like a good book, but appears more applicable to pure information theory rather than ML specifically.