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Drawn from his experience as the executive dean of Wilner Sales and Leadership Institute, Leon Cai shares his proven philosophy and methods for improving leadership skills among middle and high-level managers. Leon is one the top ten most influential trainers in China winning “Honor China Award” and is a leading figure in China’s training and consulting industry. Gear-Shifting Leadership, now in its Second Edition, is a book designed to improve leadership ability of practicing managers and addresses the full spectrum or panorama of what is expected from successful leaders. Managers need to grasp more than just one or two aspects of leadership, but the whole content and complete framework of it. Gear-Shifting Leadership, Second Edition provides the concepts, tools, and examples needed for managers to become effective leaders. Updated with new examples and tools, Gear-Shifting Leadership, Second Edition synthesizes dozens of leadership models, and fully displays "the panorama of leadership." The author demonstrates the panorama by showing the links and connections between different parts of leadership. The book displays the four gears and nineteen components of leadership managers need to develop. The four gears are: Followership, Face-to-face Leadership, In-Direct Leadership, and Organizational Executive Leadership. • Followership refers to the ability of leaders to win the trust from subordinates, superiors, and counterparts through demonstrative self-management. • Face-to-face Leadership demonstrates the leaders’ ability to drive, encourage, instruct, manage, control, and develop direct subordinates and core teams. It exhibits leaders’ one-on-one leadership abilities targeted at their direct subordinates. • Indirect Leadership shows the leaders’ influence and driving power towards indirect subordinates and the whole team, and it can be defined as the leaders’ role in managing the team as a whole. • Organizational Executive Leadership shows leaders’ acute insight of the dynamic changes in their organizations, and the leaders’ ability to optimize their own approach to managing the team and in so doing, adapt to changes in both the internal and external environment of organizations. The book walks readers through each gear as well as the several components it comprises. Many leadership books have excellent concepts and ways of thinking, but lack practical sheets, models and tools, so that books of this type can only improve leaders themselves and can’t be widely used in their organizations. Gear-Shifting Leadership illustrates the model, tables, evaluation questionnaires, and simplified tools that will make the material in this book practical and applicable.
Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning. The book starts with an introduction to machine learning and moves on to describe the basic architecture, different activation functions, forward propagation, cross-entropy loss and backward propagation of a simple neural network. It goes on to create different code segments to construct deep neural networks. It discusses in detail the initialization of network parameters, optimization techniques, and some of the common issues surrounding neural networks such as dealing with NaNs and the vanishing/exploding gradient problem. Advanced variants of multilayered perceptrons namely, convolutional neural networks and sequence models are explained, followed by application to different use cases. The book makes extensive use of the Keras and TensorFlow frameworks.
This is the first practical guide that enables you to actually work with artificial neural networks on your personal computer. It provides basic information on neural networks, as well as the following special features:source code listings in C**actual case studies in a wide range of applications, including radar signal detection, stock market prediction, musical composition, ship pattern recognition, and biopotential waveform classification**CASE tools for neural networks and hybrid expert system/neural networks**practical hints and suggestions on when and how to use neural network tools to solve real-world problems.
Political issues people care about such as racism, climate change, and democracy take on new urgency and meaning in the light of technological developments such as AI. How can we talk about the politics of AI while moving beyond mere warnings and easy accusations? This is the first accessible introduction to the political challenges related to AI. Using political philosophy as a unique lens through which to explore key debates in the area, the book shows how various political issues are already impacted by emerging AI technologies: from justice and discrimination to democracy and surveillance. Revealing the inherently political nature of technology, it offers a rich conceptual toolbox that can guide efforts to deal with the challenges raised by what turns out to be not only artificial intelligence but also artificial power. This timely and original book will appeal to students and scholars in philosophy of technology and political philosophy, as well as tech developers, innovation leaders, policy makers, and anyone interested in the impact of technology on society.​
Enhance your Maori-language learning with the most reliable – and easiest – resource available. The bestselling Maori Made Easy gave learners an accessible and achievable entry into te reo Maori. It quickly cemented itself as the guide to those new to the language. Scotty Morrison now offers a second instalment to help readers continue their learning journey, picking up where the first volume left off. Maori Made Easy 2 unpacks more of the specifics of the language while still offering an easy, assured approach. By committing 30 minutes a day for 30 weeks, learners can build their knowledge in a practical, meaningful and fun way.