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Rosenberg S: Practical AI Governance

Practical AI Governance

Building a Program for Strategy and Oversight

How to Add Business Value as a People Professional

High-Impact HR

Understanding and preventing financial misconduct

The Fault Lines of Finance

A Fashion Revolutionary

Vivienne Westwood

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Foundations, Technologies, and Prospects for the Future

Autonomous Vehicle Safety Solutions

Integration of Federated Learning and Blockchain for Smart Cities

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.

AI for Design and Optimization of Cellular Networks

Applications in R and Python

Essentials of Big Data Analytics

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Driving Business Success and Profit Through Enterprise Automation and AI Agents

Untangling AI

Globally, 2 billion workers are in precarious informal jobs without protection. The Nordic Model privileges co-determination and worker participation in employment relations which can foreclose precarity and the absence of protection. However, the growth of digitalization and algorithmic governance within the workplace raises questions about labour process, worker agency, co-determination, governance, power, surveillance, control, and representation in all parts of the world, including the Nordic countries. This interdisciplinary edited collection offers a unique combination of macro level and micro level analyses of digitalization, algorithmic governance and workplace democracy in the context of Nordic labour markets.
Including studies from the finance industry, hospitals, higher education, police, and&nbsp;journalism, this collection teases out similarities and differences across labour markets and employment sectors and seeks to reflect nuances in terms of worker autonomy and agency, transformation of professional discretion, modes of resistance, representation and co-determination, and employment relations. It will be of great importance to the scholars and students of labour studies, workplace governance, HRM and the sociology of work.

Interrogating the Nordic Model in Practice

Digital Technology, Algorithmic Governance and Workplace Democracy

Practical AI Governance

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