Due to not taking the book's title at face value, I didn't realize what I was getting into.  I misappropriated the "introduction" term and as such, it left me disappointed with the book.  This is not the book's fault however.<br><br>This is the type of book that's useful if you have a strong foundation in math.  There's it's subtitle is "...An Applied Mathematics Introduction."<br><br>It is such that if you do have strong math skills, then this book will be of great importance to you as you understand how to apply math towards machine learning.<br><br>If you are like me and learning machine learning on your own and don't quite have the mathematical foundation then it will be a high hurdle to overcome as you read.<br><br>The book is broken down into chapters which cover various machine learning methodologies.  They give a quick synopsis of what the methodology is and when you would use.  Then the math begins.<br><br>It is by no means heavy on math, but it is rich in math.  I do enjoy Wilmott's writing style but for me, I need a more basic introduction towards math and due to my own misreading of the title, thought this would aid me.<br><br>For a pop culture analogy:  there's a Simpsons episode where Homer is reading a book on advanced marketing.  He doesn't grasp it and in the next scene he is reading a book on beginning marketing.  He doesn't grasp that either and then reads the definition of marketing in a dictionary.  For me, this book is like the advanced marketing book when I need to learn the definitions first.