Not to mention the shedloads of “X is all you need” papers which you can ignore, because Bishop’s “Pattern Recognition and ML” book is actually all you need (pl

Not to mention the shedloads of “X is all you need” papers which you can ignore, because Bishop’s “Pattern Recognition and ML” book is actually all you need (plus perhaps a good reference on linear algebra).