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Anonymous: Machine Learning basierte
Handelsstrategien. Ein Vergleich zwisch

Machine Learning basierte Handelsstrategien. Ein Vergleich zwischen Random Forest und LSTM anhand des Deutschen Aktienindex 40

Python for Accounting and Finance: A Mind-Mapping Approach is an innovative textbook written for accounting and finance students and professionals with no prior coding experience. It introduces Python programming through a mind-mapping approach that presents complex concepts in a clear and structured way to support understanding and retention.The book is organised into four parts: Python Basics, Data Analysis and Visualisation, Automation, and Machine Learning. It places programming within practical accounting and finance contexts so that learners can see the direct application of coding in their field. The textbook uses mind maps as a core instructional method. These visual diagrams show programming concepts and their connections, helping learners to understand, organise and recall information, particularly those who learn through visual representation.Enhanced with Google Colab notebooks, this book creates a highly supportive learning experience, equipping students of accounting and finance with essential programming skills for their speciality.

A Mind-Mapping Approach

Python for Accounting and Finance

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

A Comprehensive Introduction

Financial Technology

Routledge Studies in Management, Organizations and Society

As businesses face growing pressure to accurately disclose environmental and social impacts, AI and Sustainability Reporting: Advancing Sustainability, Accountability, and Corporate Governance explores how artificial intelligence addresses core challenges of sustainability reporting. This book uniquely examines AI's specific role in improving data quality, enhancing comparability, supporting predictive analysis, and strengthening corporate transparency to meet rising regulatory and stakeholder demands. Uniquely bridging sustainability reporting, corporate governance, regulations, and digital transformation, the book provides a comprehensive analysis of the opportunities and risks of AI-enabled reporting. It distinguishes itself by tackling pressing concerns, including greenwashing, algorithmic bias, explainability, data governance, and the institutional challenges of building accountable reporting systems. Written for academic and professional audiences, this book provides a rigorous and accessible resource that uniquely contributes to current debates on ESG reporting, responsible business, and AI-driven corporate accountability. Designed to serve advanced students, researchers, practitioners, regulators, and policymakers at the intersection of sustainability and emerging technologies, it delivers practical knowledge and original analysis unavailable elsewhere.

Advancing Sustainability, Accountability, and Corporate Governance

AI and Sustainability Reporting

Easy and effective strategies for using AI chatbots Turn your business into a 24/7 customer service powerhouse with AI chatbots that work around the clock! Perfect for anyone drowning in customer emails or missing sales opportunities while they sleep, AI Chatbots For Dummies explains how to build intelligent chatbots from scratch - no coding required. You'll discover how major companies use chatbots to boost efficiency and customer satisfaction and learn to create your own automated assistants for customer service, lead generation, and marketing campaigns that practically run themselves. Inside ... <ul><li>Build no-code solutions</li><li>Create 24/7 customer support</li><li>Accelerate lead generation</li><li>Convert leads into customers</li><li>Reduce overhead and workload</li><li>Improve customer satisfaction</li><li>Scale your company</li><li>Integrate the newest tools</li></ul>

AI ChatBots For Dummies

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

Technology in Supply Chain Management and Logistics: Current Practice and Future Applications, Second Edition analyzes the implications of these technologies in a variety of supply chain settings, including block chain, Internet of Things (IoT), inventory optimization, and medical supply chain. This book outlines how technologies are being utilized for product planning, materials management and inventory, transportation and distribution, workflow, maintenance, the environment, and in health and safety. Readers will gain a better understanding of the implications of these technologies with respect to value creation, operational effectiveness, investment level, technical migration and general industry acceptance. The book identifies emerging supply chain technologies, and trends in technology acceptance and utilization levels across various industry sectors. It includes contributions from experts in their fields to illustrate how technology can be applied in a variety of areas including manufacturing, equipment distribution, retail, aerospace repair and maintenance, and medical supply chain. Also included are chapters on cutting edge exponential technologies, principals for implementing technological change in supply chain management, and future estimates of technology in supply chain. This second edition updates this constantly changing area.

Current Practice and Future Applications

Technology in Supply Chain Management and Logistics

ICISAS 2025 is the signature research conference of Curtin University Dubai. It brings together leading experts to discuss how innovation, sustainability, and applied sciences can shape the future of business and society.

Integrating Sustainable Technologies with Data-Driven Solutions

The Future of Business and Society

Nick Clegg, formerly one of Meta's most senior executives, presents a blueprint for reforming Big Tech while preserving the essential openness of the internet 'Warns of the dangers posed to a free and open global internet by an age of autocrats and a titanic power struggle over AI' Guardian As democracies seek to curb the power of Big Tech, as authoritarian regimes like China and Russia isolate their populations from the internet, and as the AI race supercharges divisions between competing nations, the most powerful tool for bringing us together risks being dismantled. Taking us behind the scenes at Meta, and drawing on his unique experience on the world stage of both tech and politics, Nick Clegg sets out where Big Tech has gone wrong and the radical reforms that are needed if global platforms are to ensure their long-term future. But he also shows that many of the charges against them are overstated or simply untrue, and presents a blueprint for the international cooperation that is needed if we are to preserve what makes them so vital to our future: their potential to empower and improve billions of lives. Radical, reasonable, deeply felt and disarmingly honest, How To Save the Internet reminds us how much we stand to lose on our current path - and how much we might yet gain from a global, open internet. 'Entertaining . . . lucid, detailed . . . there is much to agree with' Spectator 'Studded throughout [with] good analyses of the political situation around technology' Observer 'A gripping and timely book. Nick Clegg writes with clarity, authority and urgency' Peter Frankopan, author of The Silk Roads 'A wake-up call we cannot afford to ignore' Tony Blair 'A vital read' Reid Hoffman, co-founder of LinkedIn

The Threat to Global Connection in the Age of AI and Political Conflict

How to Save the Internet

The vast potential of AI technology remains untapped in areas like audio, video, and complex data analysis. In fact, many of today's professionals find it challenging to apply AI innovations across these diverse domains due to a lack of guidance and practical implementations.This comprehensive guide, tailored especially for intermediate to advanced ML engineers, data scientists, and researchers, fills the gap. Author Nicole Koenigstein guides readers through the versatile applications of transformer models, not only deepening theoretical understanding but also emphasizing actionable strategies for real-world applications. The book equips you with a grand unified theory for transformers--foundational insights that keep you on the cutting edge regardless of state-of-the-art model evolutions. You'll discover how to apply: <ul><li>Transformers in nontext domains like image, video, and music generation</li> <li>Reasoning models, coding agents, and multi-agent architectures</li> <li>Training-time and test-time optimization strategies</li> <li>Production deployment, runtime engineering, and hardware efficiency</li></ul>

Applications Beyond Nlp

Transformers: The Definitive Guide

Business Machine Learning

Machine Learning basierte Handelsstrategien. Ein Vergleich zwischen Random Forest und LSTM anhand des Deutschen Aktienindex 40

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