دانلود کتاب یادگیری ماشینی قابل اعتماد

This is not a book about how machine learning works. This is a book about how to make machine learning work—for you. The way that machine learning (ML) works is fascinating. The math, algorithms, and statistical insights that surround and support ML are themselves of interest, and what they can achieve when applied to the right data can be nothing short of magical. But we do something a little different in this book. We are not algorithm-oriented—we are whole-system-oriented. In short, we talk about everything other than the algorithms. There are plenty of other works covering the algorithmic component of ML in great detail, but this one is deliberately focused on the whole lifecycle of machine learning, giving it time and attention it doesn’t really get elsewhere. This means that we talk about the messy, complicated, and occasionally frustrating work involved in shepherding data correctly and responsibly, reliable model building, ensuring a smooth (and reversible) path to production, safety in updating, and explore concerns about cost, performance, business goals, and organizational structure. We attempt to cover everything involved in having machine learning happen reliably in your organization.