Today, no one is, nor can be, an expert in everything. In every challenge, it is easy to feel that you don't know enough to keep up with the accelerating pace of change inside our organisations, let alone the world outside. Start with the assumption that somebody somewhere has already done what you are trying to do. How can you find out whom, and learn from them? "Learning to F...(展开全部)

Fully revised and updated, this new edition updates Novak's theory for meaningful learning and autonomous knowledge building along with tools to make it operational, that is, concept maps, created with the use of CMapTools and the V diagram. It is essential reading for educators at all levels and corporate managers who seek to enhance worker productivity.

After an astonishing career-first in Scotland, and then over 27 years with Manchester United Football Club- Sir Alex Ferguson delivers Leading, in which the greatest soccer coach of all time will analyze the pivotal leadership decisions of his 38 years as a manager and, with his friend and collaborator Sir Michael Moritz, draw out lessons anyone can use in business and life to ...(展开全部)

Ever since its first edition, education professors have relied on the Sadkers for their comprehensive coverage of all aspects of American education. Teachers, Schools, and Society provides in-depth coverage of the foundations of education (history, philosophy, governance, and law) while also presenting a clear overview of what it means to be a teacher today, and including comm...(展开全部)

Ever since its first edition, education professors have relied on the Sadkers for their comprehensive coverage of all aspects of American education. Teachers, Schools, and Society provides in-depth coverage of the foundations of education (history, philosophy, governance, and law) while also presenting a clear overview of what it means to be a teacher today, and including comm...(展开全部)

This book is for analysts, statisticians, and data scientists with knowledge of fundamentals of machine learning and statistics, who need help in dealing with challenging scenarios faced every day of working in the field of machine learning and improving system performance and accuracy. It is assumed that as a reader you have a good understanding of mathematics. Working knowledge of R is expected.

This book is for analysts, statisticians, and data scientists with knowledge of fundamentals of machine learning and statistics, who need help in dealing with challenging scenarios faced every day of working in the field of machine learning and improving system performance and accuracy. It is assumed that as a reader you have a good understanding of mathematics. Working knowledge of R is expected.

Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of interest. Author Aileen Nielsen also off...(展开全部)

Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of interest. Author Aileen Nielsen also off...(展开全部)

Why do people go to museums and what do they learn there? What roles can museums serve in a learning community? How can museums facilitate more effective learning experiences? John H. Falk and Lynn D. Dierking investigate these questions in Learning from Museums. Synthesizing theories and research from a wide range of disciplines, including psychology, education, anthropology, ...(展开全部)