This book gives a a macro picture of machine learning. In this post, I will briefly summarize the main points of the book. One can think of this post as a meta summary as the book itself is a summary of all the main areas of machine learning. Prologue Machine learning is all around us, embedded in technologies and devices that we use in our daily lives. They are so integrated with our lives that we often do not even pause to appreciate its power.

I stumbled on to this book a few weeks ago and immediately picked it up after a quick browse through the sections of the book. I had promptly placed it in my books-to-read list. I love anything related to information theory mainly because of its inter-disciplinary applications. The principles of information theory are applicable in a wide range of fields. In fact it will hard to pinpoint a specific area where concepts from information theory have not been applied.

Once quiet, we will hear an inner voice proclaim, “You are not enough.” So why not just avoid the compost? Why not skirt the stinking heap? For centuries poets and philosophers, theologians and therapists have taught us that turning over these compost piles is a risk we must undertake, for within these same mounds lies the fertile matter out of which new life arises and is nourished, a cyclic alchemy always at play, just as it is in any garden.

There is no denying about the importance of Silence and Solitude in one’s life. For me, they have always provided an appropriate environment to learn and understand a few things deeply. Drawing from that experience, I strongly feel one should actively seek some amount of “silent time” in one’s life. Is it difficult for a person leading a married life, to carve out spaces of silence? Not necessarily. I remember reading a book by Anne D.

The book titled, “The Golden ticket”, gives a non-technical introduction to the most important unsolved problem in the computer science,“Whether P = NP?”. If you are curious about knowing this problem and do not want to slog through the dense math behind it, then this book might be a perfect introduction to the problem. The author makes sure that the concepts are introduced using plain English and nothing more. By the time you are done with the book, I bet you will start appreciating a few if not all the NP-complete problems that are yet to be cracked.