Dramatic Problem Solving

This book provides a comprehensive foundation of machine learning. To answer the questions of what to learn, how to learn, what to get from learning, and how to evaluate, as well as what is meant by learning, the book focuses on the fundamental basics of machine learning, its methodology, theory, algorithms, and evaluations, together with some philosophical thinking on comparison between machine learning and human learning for machinery intelligence.The book is organized as follows: Introduction (Chapter 1), Evaluation (Chapter 2), Supervised learning (Chapters 3, 4, and 5), Unsupervised learning (Chapter 6), Representation learning (Chapter 7), Problem decomposition (Chapter 8), Ensemble learning (Chapter 9), Deep learning (Chapter 10), Application (Chapter 11), and Challenges (Chapter 12).The book can be used as a textbook for college, undergraduate, graduate and PhD students majored in computer science, automation, electronic engineering, communication, ect. It can also be used as

Simplifies the wound care process with clear, succinct information and the newest treatment protocols Freshly updated with the newest evidence-based techniques and protocols, this practical clinical resource distills the fundamentals of wound care for novice nurses and nurses new to wound care. This guide walks through the common, complex and atypical wounds nurses see and includes abundant full-color images. Chapters have been thoroughly revised and now contain critical updates in technological advances in wound care, dramatic changes in documentation and new Medicare and reimbursement guidelines.Fast Facts for Wound Care Nursing, Second Edition is an invaluable companion for the day-to-day care of wound patients, reinforcing knowledge needed in acute care, critical care, long-term care, homecare, operating room and outpatient settings. Written concisely in easy-to-access bulleted format with brief paragraphs, each chapter explains, step-by-step, the essential principles of wound care