From Lending To Learning

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Machine Learning In Finance

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Author : Matthew F. Dixon
language : en
Publisher: Springer Nature
Release Date : 2020-07-01

Machine Learning In Finance written by Matthew F. Dixon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Business & Economics categories.

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

The Ai Book

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Author : Ivana Bartoletti
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-29

The Ai Book written by Ivana Bartoletti and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Business & Economics categories.

Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

Access For All

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Author : Brigit Helms
language : en
Publisher: World Bank Publications
Release Date : 2006-01-01

Access For All written by Brigit Helms and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Business & Economics categories.

"Beginning with key questions about clients of microfinance - Who are they? What financial services do they want? What is the impact of financial services on their lives? - the book examines all levels of the financial system. It shows what works, what does not work, and where more learning is needed. By focusing on promising models and practices, it offers a vision of how to achieve financial systems that will ultimately offer access for all."--BOOK JACKET.

Banking And Lending Practice

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Author : Prudence Meredith Weaver
language : en
Publisher:
Release Date : 2015

Banking And Lending Practice written by Prudence Meredith Weaver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Bank loans categories.

Artificial Intelligence And Sustainable Computing For Smart City

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Author : Arun Solanki
language : en
Publisher: Springer Nature
Release Date : 2021-07-28

Artificial Intelligence And Sustainable Computing For Smart City written by Arun Solanki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-28 with Computers categories.

This book constitutes selected and revised papers of the First International Conference on Artificial Intelligence and Sustainable Computing for Smart City, AIS2C2 2021, held in Greater Noida, India, in March 2021. Due to the COVID-19 pandemic the conference was held online. The 17 full papers and 3 short papers included were thoroughly reviewed and selected from 204 submissions. They are organized in the following topical sections: ​sentimental and emotions analysis for smart cities; smart specialization strategies for smart cities; security in smart cities; advances applications for future smart cities; healthcare in smart cities; machine learning applications in smart cities.

Distributed Learning And Virtual Librarianship

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Author : Sharon G. Almquist
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2011-09-12

Distributed Learning And Virtual Librarianship written by Sharon G. Almquist and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-12 with Language Arts & Disciplines categories.

Brought to you by a team of experienced practitioners in the field, this book examines the vast topic of library support for distributed learning, providing both historical and contemporary viewpoints. What is the best way to deliver research resources to students who live "off campus"—as in, "way off campus," in a rural area without a high-speed Internet connection? And where does one find a complete (and accurate) synopsis of copyright guidelines that will prevent well-intentioned librarians from being labeled as the "copyright police"? The answers to these two questions regarding distributed learning—and many more—are contained in Distributed Learning and Virtual Librarianship. Written by practitioners in their field of expertise, this book documents the history of distributed learning and discusses current issues in distributed learning librarianship, with a special focus on the role of technology. Topics covered include virtual libraries, reference assistance, E-reserves and document delivery, administrative and marketing issues, and copyright concerns. This text is valuable to librarians working in public, school, and academic libraries.

Machine Learning And Data Science Blueprints For Finance

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Author : Hariom Tatsat
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-01

Machine Learning And Data Science Blueprints For Finance written by Hariom Tatsat and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-01 with Computers categories.

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations

World Bank Financing Of Education

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Author : Phillip W. Jones
language : en
Publisher: Routledge
Release Date : 2007-02-12

World Bank Financing Of Education written by Phillip W. Jones and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-12 with Business & Economics categories.

Based on detailed analysis of thousands of confidential World Bank documents, this book demonstrates that the World Bank lies at the centre of the major changes in global education of our time. It outlines the evolution of World Bank lending policies in education, and assesses the policy impact of the Bank's educational projects, looking at how it has: shaped the economic and social policies of many governments, including policies that affect education been an influential proponent of the rapid expansion of formal education systems around the world, financing much of that expansion been instrumental in forging those policies that see education as a precursor to modernisation served as a major purveyor of Western ideas about how education and the economy are, or should be, related. Following on from the success of the first edition, this revised edition covers topical issues of globalisation and looks into the political debate concerning aid to developing countries. It will be of enormous value to those studying, or working in, educational policy in developing countries, international organisations and financial institutions, and aid agencies.

Challenges In Information Communication And Computing Technology

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Author : V. Sharmila
language : en
Publisher: CRC Press
Release Date : 2024-12-10

Challenges In Information Communication And Computing Technology written by V. Sharmila and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.

This book explores the critical challenges and emerging trends in Information, Communication, and Computing Technology (ICCT). It provides a comprehensive overview of the key issues facing these rapidly evolving fields, from data security and privacy to advancements in artificial intelligence, communication networks, and quantum computing. Through in-depth analysis and expert perspectives, this volume aims to shed light on the complexities of ICCT and offer innovative solutions for researchers, practitioners, and students. Building on its exploration of challenges in ICCT, this book delves into several core areas. These include the development and deployment of secure and efficient communication networks, the ethical implications and technical hurdles of artificial intelligence and machine learning, and the promise and complexity of quantum computing. The book also addresses the management of big data, highlighting both its potential and the challenges of ensuring data privacy and security. Additionally, it examines the role of sustainability in computing, advocating for greener technologies and practices. The findings presented in this volume emphasize the need for interdisciplinary approaches and innovative thinking to address these challenges, offering insights that are both practical and forward-looking. This book is intended for a diverse audience that includes researchers, practitioners, and students in the fields of Information, Communication, and Computing Technology (ICCT). It is particularly valuable for academics and professionals seeking to deepen their understanding of current challenges and emerging trends in these areas. Additionally, policymakers, industry leaders, and technologists will find the book's insights useful for informing decisions and strategies in the development and implementation of advanced technologies. Whether you are a seasoned expert or a newcomer to the field, this book provides valuable perspectives that can enhance your knowledge and contribute to your work in ICCT. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.

Departments Of Transportation And Housing And Urban Development And Related Agencies Appropriations For 2016

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Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Transportation, Housing and Urban Development, and Related Agencies
language : en
Publisher:
Release Date : 2015

Departments Of Transportation And Housing And Urban Development And Related Agencies Appropriations For 2016 written by United States. Congress. House. Committee on Appropriations. Subcommittee on Transportation, Housing and Urban Development, and Related Agencies and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Administrative agencies categories.