دانلود کتاب روش‌های گروهی برای یادگیری ماشین (Ensemble Methods)

What exactly is an ensemble method? Let’s get an intuitive notion of what they are and how they work by considering the allegorical case of Dr. Randy Forrest. We can then go on to frame the ensemble learning problem. Dr. Randy Forrest is a famed and successful diagnostician, much like his idol Dr. Gregory House of TV fame. His success, however, is due not only to his exceeding politeness (unlike his cynical and curmudgeonly idol), but also his rather unusual approach to diagnosis. You see, Dr. Forrest works at a teaching hospital and commands the respect of a large number of doctors-in-training. Dr. Forrest has taken care to assemble a team with a diversity of skills. His residents excel at different specializations: one is good at cardiology (heart), another at pulmonology (lungs), and yet another at neurology (nervous system) and so on. All in all, a rather diversely skillful bunch, each with their own strengths. Every time Dr. Randy Forrest gets a new case he solicits the opinions of all his residents and collects possible diagnoses from all of them. He then democratically decides the final diagnosis as the most common one from among all those proposed.