Peng Liu – författare

This book introduces computational advertising, and Internet monetization. It provides a macroscopic understanding of how consumer products in the Internet era push user experience and monetization to the limit. Part One of the book focuses on the basic problems and background knowledge of online advertising. Part Two targets the product, operations, and sales staff, as well as high-level decision makers of the Internet products. It explains the market structure, trading models, and the main products in computational advertising. Part Three targets systems, algorithms, and architects, and focuses on the key technical challenges of different advertising products.

Features

· Introduces computational advertising and Internet monetization

· Covers data processing, utilization, and trading

· Uses business logic as the driving force to explain online advertising products and technology advancement

· Explores the products and the technologies of computational advertising, to provide insights on the realization of personalization systems, constrained optimization, data monetization and trading, and other practical industry problems

· Includes case studies and code snippets

This book introduces computational advertising, and Internet monetization. It provides a macroscopic understanding of how consumer products in the Internet era push user experience and monetization to the limit. Part One of the book focuses on the basic problems and background knowledge of online advertising. Part Two targets the product, operations, and sales staff, as well as high-level decision makers of the Internet products. It explains the market structure, trading models, and the main products in computational advertising. Part Three targets systems, algorithms, and architects, and focuses on the key technical challenges of different advertising products.

Features

· Introduces computational advertising and Internet monetization

· Covers data processing, utilization, and trading

· Uses business logic as the driving force to explain online advertising products and technology advancement

· Explores the products and the technologies of computational advertising, to provide insights on the realization of personalization systems, constrained optimization, data monetization and trading, and other practical industry problems

· Includes case studies and code snippets

Providing a window on educational leadership from an Asian cultural perspective, Liu and Thien’s edited collection describes how educational leadership is linked with national culture in the context of different Asian countries.

While much of the scholarship on this topic has been built on Western paradigms, this book examines the measurement of school leadership from a diverse lens by taking cultural context into account while examining educational leadership. Drawing on cross-cultural perspectives, the authors investigate the relationship between leadership for learning and societal culture, in addition to the relationship between leadership style and culture. The text provides a theoretical basis for understanding leadership in the context of Asian countries, and offers practical suggestions for identifying effective, and culturally sensitive leadership practices in similar cultural contexts.

An excellent resource for graduate students, researchers in comparative education, educational practitioners looking to improve their education practices, and anyone interested in cultural leadership practices.

Providing a window on educational leadership from an Asian cultural perspective, Liu and Thien’s edited collection describes how educational leadership is linked with national culture in the context of different Asian countries.

While much of the scholarship on this topic has been built on Western paradigms, this book examines the measurement of school leadership from a diverse lens by taking cultural context into account while examining educational leadership. Drawing on cross-cultural perspectives, the authors investigate the relationship between leadership for learning and societal culture, in addition to the relationship between leadership style and culture. The text provides a theoretical basis for understanding leadership in the context of Asian countries, and offers practical suggestions for identifying effective, and culturally sensitive leadership practices in similar cultural contexts.

An excellent resource for graduate students, researchers in comparative education, educational practitioners looking to improve their education practices, and anyone interested in cultural leadership practices.

This book examines the vital roles of teacher leadership in the ever-evolving landscape of educational change, a constant presence in educational settings. As a cornerstone of school improvement initiatives, teacher leadership is essential; however, research in this field frequently lacks strong theoretical foundations and thorough exploration. This edited volume provides a comprehensive perspective on the roles of teacher leaders in driving educational change.

The chapters discuss the competencies required for teacher leadership in turnaround schools, its influence on both school-level and systemic reforms, and the contextual factors shaping leadership development. Additionally, the book provides an in-depth examination of teacher leadership''s transformative potential in fostering educational change, offering comprehensive insights into how teacher leaders drive innovation, collaboration, and improvement within schools. By addressing these themes, the volume contributes to a deeper understanding of teacher leadership''s role in shaping educational outcomes.

This book caters to a wide audience, including graduate students in leadership programs, practitioners, policymakers, and stakeholders involved in shaping educational policies. It offers valuable theoretical insights and serves as a practical reference for those aiming to understand the significant impact of teacher leadership on educational change and improvement efforts.

This book examines the vital roles of teacher leadership in the ever-evolving landscape of educational change, a constant presence in educational settings. As a cornerstone of school improvement initiatives, teacher leadership is essential; however, research in this field frequently lacks strong theoretical foundations and thorough exploration. This edited volume provides a comprehensive perspective on the roles of teacher leaders in driving educational change.

The chapters discuss the competencies required for teacher leadership in turnaround schools, its influence on both school-level and systemic reforms, and the contextual factors shaping leadership development. Additionally, the book provides an in-depth examination of teacher leadership''s transformative potential in fostering educational change, offering comprehensive insights into how teacher leaders drive innovation, collaboration, and improvement within schools. By addressing these themes, the volume contributes to a deeper understanding of teacher leadership''s role in shaping educational outcomes.

This book caters to a wide audience, including graduate students in leadership programs, practitioners, policymakers, and stakeholders involved in shaping educational policies. It offers valuable theoretical insights and serves as a practical reference for those aiming to understand the significant impact of teacher leadership on educational change and improvement efforts.

This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.

After completingthis book, you will have a firm grasp of Bayesian optimization techniques, which you’ll be able to put into practice in your own machine learning models.

Build and implement trading strategies using Python. This book will introduce you to the fundamental concepts of quantitative trading and shows how to use Python and popular libraries to build trading models and strategies from scratch. It covers practical trading strategies coupled with step-by-step implementations that touch upon a wide range of topics, including data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning, all coupled with practical examples in Python.

Part one of Quantitative Trading Strategies with Python covers the fundamentals of trading strategies, including an introduction to quantitative trading, the electronic market, risk and return, and forward and futures contracts. Part two introduces common trading strategies, including trend-following, momentum trading, and evaluation process via backtesting. Part three covers more advanced topics, including statistical arbitrage using hypothesistesting, optimizing trading parameters using Bayesian optimization, and generating trading signals using a machine learning approach.

Whether you''re an experienced trader looking to automate your trading strategies or a beginner interested in learning quantitative trading, this book will be a valuable resource. Written in a clear and concise style that makes complex topics easy to understand, and chock full of examples and exercises to help reinforce the key concepts, you’ll come away from it with a firm understanding of core trading strategies and how to use Python to implement them.

What You Will Learn

Who This Book Is For

Aspiring quantitative traders and analysts, data scientists interested in finance, and researchers or students studying quantitative finance, financial engineering, or related fields.

Today’s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations.

The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and gametheory to address the goal of computing effective strategies in dynamic, adversarial environments.