Machine Learning for Financial Risk Management with Python

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for ad

Core Insight：Cross-Domain Data Collaboration: Unlocking Chip PotentialEliminating the "efficiency gap" caused by knowledge silos is the starting point for industry potential. Data doesn't lie; Data Science provides the solution: Through innovation and cross-domain restructuring, we visualize results to become the critical accelerator for boosting efficiency.GenAI Reshaping the Future of SemiconductorsFacing the immense challenge of the slowing pace of Moore's Law, the semiconductor industry urgently requires new breakthroughs. This book is specifically designed to solve the "Efficiency Black Hole" that consumes tens of billions of dollars annually in the industry.The Empowering DTCO Innovation with AI and Machine Learning offers readers a practical DTCO.ML Framework, demonstrating how to leverage Machine Learning (ML) and Generative AI (GenAI) technologies to inject new acceleration into chip manufacturing processes. Learn to master process variability and optimize chip energy efficien

風險建模演算法 「Abdullah Karasan成功展現了在金融風險管理領域中使用機器學習的能力，這是對任何金融機構都攸關重要的功能。」 ―Yves J. Hilpisch博士 The Python Quants與The AI Machine創辦人及總裁 「如果您需要將統計和機器學習方法應用在金融風險分析的入門指南，那麼這是一個很好的起點。」 ―Graham L. Giller 《Adventures in Financial Data Science》作者 金融風險管理在人工智慧的幫助下發展迅速。透過這本實用指南，開發人員、程式設計師、工程師、金融分析師、風險分析師及定量和演算法分析師，將可以機器學習和深度學習模型進行金融風險評估。建立基於人工智慧的財務建模實務技能後，您將學習要如何運用機器學習模型來取代傳統的金融風險模型。 作者Abdullah Karasan幫助您探索金融風險建模背後的理論，再深入研究使用Python運用機器學習模型以對金融風險進行建模的實際方法。 有了這本書，您將可以： ‧回顧經典的時間序列應用並將其與深度學習模型進行比較 ‧使用支撐向量迴歸、神經網路和深度學習來探索波動率模型以衡量風險程度 ‧使用機器學習技術來改善市場風險模型(VaR和ES)，並包括了流動性維度 ‧使用分群和貝氏方法來進行信用風險分析 ‧使用高斯混合模型和關聯結構模型來捕捉流動性風險的不同面向 ‧使用機器學習模型來進行詐欺偵測 ‧使用機器學習模型來預測股價崩盤並識別其決定因素

International Financial Management provides students with a foundation for analysis through a text that is well-organized, comprehensive, and provides up-to-date coverage of the topics. Like the first nine editions, it is written based on two tenets: emphasis on the basics and emphasis on a managerial perspective.The scope and content of international finance has been fast evolving due to cycles of deregulations and regulations of financial markets, product innovations, and technological advancements. As capital markets of the world are becoming more integrated, a solid understanding of international finance has become essential for astute corporate decision making. Reflecting the growing importance of international finance as a discipline, we have seen a sharp increase in the demand for experts in the area in both the corporate and academic worlds.International Financial Management discussion is written so that a self-contained treatment of each subject is presented in a user-friendly

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.

隨著金融科技與經營模式的改變，環境、社會、治理(ESG)議題日益重要。全球金融體系不斷變革與創新，金融機構需要做好風險管理以及永續管理，才能有效強化組織核心能力。本書不僅提供清楚的學術理論與法令規定，更融入實務案例，敘述金融機構用以辨識和管理風險的方法，以及說明永續經營管理的應用。本書可幫助讀者快速瞭解如何在真實社會，應用有效管理金融機構的新概念與新方法。

內容介紹: 別再傻傻只選一個模型訓練很多模型，卻不知道應該選哪一個？沒有一個模型達標？每個模型都有其優缺點，無法取捨？小朋友才做選擇，大人全都要！你該試試集成式學習！集成式學習是使用 2 種或更多的機器學習演算法，來組合出預測能力更好的模型。DeepMind 已經使用集成式學習來組合多個神經網路，控制 Google 資料中心的運作效能；集成式學習技術也在 Kaggle 平台上，席捲了各個競賽的第一名寶座。因此，集成式學習是建立出更具威力的模型，不可或缺的技術之一。本書會介紹實務上常見的集成式學習演算法，如硬投票、軟投票、堆疊法、自助聚合法、適應提升法、梯度提升法、隨機森林、極端隨機樹等，並且使用熱門的 scikit-learn、Keras、OpenEnsembles、XGBoost 等 Python 函式庫來實作各種不同的集成式學習技術，建構出一個強大的模型。熟稔本書的內容後，不但可以精通集成式學習，在實際情境中面對問題時，亦能具備充分的專業知識判斷適用的集成式學習方法，並成功實作它們。書中採用「做中學」的方式，讓你不僅可以快速掌握理論基礎，也能了解各種集成式學習技術的實作，再加上運用真實世界中的資料集，你將能夠建立出更佳的機器學習模型，以解決各種問題，包含迴歸、分類、分群。現在翻開本書，讓我們一起進入集成式學習的世界，整合你所會的全部技術，打造最強大的模型。 本書特色: ● 繁體中文第 1 本集成式學習專書，告訴你不要再傻傻地只選一個模型● 完整介紹集成式學習中常見的演算法，包含極端隨機樹、堆疊法、自助聚合法、提升法等● 一書掌握實作集成式學習的必備套件，如 Scikit-Learn、OpenEnsembles、XGBoost 等● 用 Python 刻演算法給你看，接著告訴你怎麼用套件。讓你不只會做，還懂為什麼這麼做● 以 5 個實務案例來展示集成式學習的威力● 本書由施威銘研究室監修，內容易讀易懂，並加入大量「小編補充」補充必要知識● 本書 Python 範例程式免費下載

This book is for teachers interested in incorporating interaction online into their teaching.Interaction Online is a valuable resource for anyone who wants to incorporate an aspect of online interaction in their language teaching. It is relevant for use with online, blended or face-to-face courses and appropriate for a wide range of teachers and learning contexts. This handbook contains over 75 tried and tested activities, the majority of which can be carried out either synchronously or asynchronously. Activities are purposeful and foster interaction between and among learners and instructors, rather than between learner and machine, and make use of generic tools and applications, such as discussion forums, instant message services and Facebook.

The most complete, up to date guide to risk management in finance Risk Management and Financial Institutions explains all aspects of financial risk and financial institution regulation, helping readers better understand the financial markets and potential dangers. This new fourth edition has been updated to reflect the major developments in the industry, including the finalization of Basel III, the fundamental review of the trading book, SEFs, CCPs, and the new rules affecting derivatives markets. There are new chapters on enterprise risk management and scenario analysis. Readers learn the different types of risk, how and where they appear in different types of institutions, and how the regulatory structure of each institution affects risk management practices. Comprehensive ancillary materials include software, practice questions, and all necessary teaching supplements, facilitating more complete understanding and providing an ultimate learning resource.All financial professionals nee

The award-winning author team of Libby, Libby, and Hodge continue Financial Accounting’s best-selling tradition of engaging students from the first day of class, focusing on four key attributes: 1) A trademark focus company approach that integrates content around a familiar company, helping students understand financial statements and the implications of financial accounting for future managers. 2) A Building-Block Approach to teaching transaction analysis that spreads coverage over two chapters giving students time to practice and gain mastery with greater student success. 3) A balance of transaction analysis and financial statement analysis based on real companies to prepare students, regardless of their career aspirations. 4) Powerful technology to give students with different learning styles and conflicting time commitments what is needed to help them study more efficiently and effectively including videos, Integrated Excel, and General Ledger problems.

MindTap Management for Mello's Strategic Human Resource Management, 5th Edition is the digital learning solution that powers students from memorization to mastery. It gives you complete control of you

五個好朋友擁有不同的學習經歷，這些經歷幫助他們成為了理財冠軍！一路走來，他們發現成為真正的理財冠軍不僅僅是省錢，更需要做出明智的選擇，設定目標，並學習分享的力量。一路走來，他們揭開了儲蓄、賺錢、消費、計算和分享的奧秘！引人入勝的故事式教學向幼兒傳授金融知識本套書包含以下標題：丹學習賺錢哈米未雨綢繆兔子超支達奇學習計算奧蒂與有需要的人分享Five friends have different learning experiences that help them become money champs! Along the way, they discover that being a true Money Champ isn't just about saving pennies — it's about making smart choices, setting goals and learning the power of sharing. Along the way, they unravel the mysteries of saving, earning, spending, counting and sharing!An engaging story-based approachTeaches financial literacy to young childrenThis set contains the titles:Dan Learns to EarnHammie Saves for a Rainy DayBunny OverspendsDucky Learns How to CountOttie Shares with Those in Need

Fundamentals of Human Resource Management 2024 Release provides a complete, concise introduction to human resource management for the general business manager who wants to learn more about how HRM is used in the everyday work environment. Its adaptive learning program and its engaging, focused, and applied content make it the fastest growing HRM program on the market. The authors have won numerous prestigious teaching and research awards. This, along with their teamwork and consulting experience, delivers a learning program strong in depth and breadth, and current in research and practice simply not found in other products.

The 2024 Release of Cecchetti & Schoenholtz's Money, Banking, and Financial Markets boasts an innovative approach to enhancing coherence, relevance, and timeliness in the study of Money and Banking for economics students. In a world where money, banking, and financial markets are in constant flux, this release introduces cutting-edge features to keep pace with evolving dynamics. This release captures the impact of the Covid-19 pandemic (including implications for inflation and employment dynamics), explore the forefront of changes in payments technology and the future of money, discover the evolution of central bank strategy and operating procedures, and gain insights into the consequences of the 2023 U.S. banking crisis.Continuing its distinctive approach, the text emphasizes the Five Core Principles, delivers an early introduction to risk, offers an integrated global perspective, and seamlessly integrates FRED data. The authors also host a blog at www.moneyandbanking.com where yo

「作者完美呈現監管單位觀點、風險管理、可解釋性與其他諸多主題的概觀，同時提供實務建議與程式碼範例。」—Christoph MolnarInterpretable Machine Learning作者「使用獨特戰術處理方式，解決ML系統風險，讓本書脫穎而出。透過細微差異的處理降低ML風險，為讀者提供寶貴資源，以負責任又可持續的方式成功佈署ML系統。」—Liz GrennanDigital Trust, McKinsey&Company初級合夥人暨全球事務共同領導者過去十年，見證了人工智慧與機器學習(AI/ML)技術的廣泛採用。然而，疏於監督這些廣泛實施的技術，導致原本可由適切風險管理來避免的事故與不良後果。在認識AI/ML真正的好處前，從業人員必須瞭解如何降低風險。本書說明負責任AI的處理方式：建立在風險管理、資安、資料隱私上，並套用社交科學的最佳實作，提升AI/ML技術、商業程序與文化能力的完整框架。作者Patrick Hall、James Curtis與Parul Pandey創作了這本指南，以期能協助企業、客戶與大眾改善真實世界AI/ML系統結果的資料科學家。‧學習完整涵蓋可解釋性、模組驗證與除錯、偏見管理、資料隱私與ML安全性的負責任AI技術處理‧學習如何建立成功的、有影響力的AI風險管理實作‧對採用AI技術的現有標準、法律與評估方式有基本瞭解，包括近期的NIST AI Risk Management Framework‧使用GitHub與Colab的互動式資源

建立智慧型系統的概念、工具與技術「這是一本出色的機器學習資源，包含淺顯易懂的解說，以及豐富的實用技巧。」—François CholletKeras作者，《Deep Learning with Python》作者「本書是運用神經網路來解決問題的絕佳入門資源，涵蓋理論及實踐。推薦給想學習實用機器學習技術的人。」—Pete WardenTensorFlow行動主管深度學習在經歷了一系列的突破之後，已經推動了整個機器學習領域的發展。如今，即使是對於這項技術非常陌生的程式設計師，也能夠使用簡單、高效率的工具，寫出能從資料中學習的程式。這本暢銷書使用具體的例子、最少的理論，以及具備生產水準的Python框架(Scikit-Learn、Keras和TensorFlow)來協助你直接瞭解智慧系統的建構概念與工具。在這本第三版中，作者Aurélien Géron將探索一系列的技術，從簡單的線性回歸開始，逐步發展到深度神經網路。本書包含許多範例程式和習題來幫助活用所學，只要具備一些程式設計經驗即可入門。‧使用Scikit-Learn自始至終完成機器學習專案‧探索多種模型，包括支援向量機、決策樹、隨機森林，和集成方法‧運用無監督學習技術，例如降維、聚類法和異常檢測‧深入探討神經網路架構，包括摺積神經網路、遞迴網路、生成對抗網路、自動編碼器、擴散模型、轉換器‧使用TensorFlow和Keras建構和訓練神經網路，以進行計算機視覺、自然語言處理、生成模型和深度強化學習

This beloved and market-leading Operations Management book has been completely updated in the 14th edition and provides a clear presentation of the field of Operations Management with current real-world examples and thoughtful student pedagogy. The comprehensive breadth of content is presented in more modular flexible chapters, so it may be used for different course levels ranging from undergrad to executive education. That flexibility allows for the choice of more or less quantitative material and flexibility in order of presentation since chapters do not depend on sequence.The topics covered include both strategic issues and practical applications. Among the topics are forecasting, product and service design, capacity planning, management of quality and quality control, inventory management, scheduling, supply chain management, and project management. The use of an adaptive online learning enhances the student experience and success.

Prepare for success in management today with this brief, inviting approach from leading management author Ricky Griffin. FUNDAMENTALS OF MANAGEMENT, 8E combines a streamlined approach with a strong th

English Communication for Nursing is an eight-unit book designed to equip nurses who wish to communicate effectively with English-speaking patients in the health-care setting. The book features helpful vocabulary and expressions, realistic patient-nurse dialogs that simulate hospital interactions, cultural tips, practice activities, and samples of documents that patients may encounter in the hospital. The book exposes learners to the necessary vocabulary for nursing while providing ample listening and speaking practice.Each unit focuses on aspects of medical care like checking in to a hospital, surgery, medications, pain management, pediatrics, orthopedics, gastroenterology, and cardiology. An appendix provides additional language with dialogs between co-workers within the hospital setting.The book can be used as stand-alone material, or it can be used with a series of online videos that will enhance listening skills. English Communication for Nursing will guide learners in building th

Linear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to inc

Business Driven Information Systems discusses various business initiatives first and how technology supports those initiatives second. The premise for this unique approach is that business initiatives should drive technology choices and provide the foundation that will enable students to achieve excellence in business, regardless of their major. The text is available with Connect, McGraw Hill's course management and adaptive learning system, helping millions of students reach their potential every year. It is state of the art in its discussions, presents concepts in an easy-to-understand format, and allows students to be active participants in learning. By engaging students with numerous case studies, exercises, projects, and questions that enforce concepts, Business Driven Information Systems creates a unique learning experience for both faculty and students.

Elementary Linear Algebra: Applications Version, 12th Edition, gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation. In this edition, a new section has been added to describe the applications of linear algebra in emerging fields such as data science, machine learning, climate science, geomatics, and biological modeling. New exercises have been added with special attention to the expanded early introduction to linear transformations and new examples have been added, where needed, to support the exercise sets. Calculus is not a prerequisite, but there are clea

From the award-winning, market-leading Libby/Phillips author team comes a modern, relevant, and engaging textbook for today’s managerial accounting student. The text prepares students for success in business by incorporating key components that motivate and guide them through the course. It builds student interest by using recognizable companies like Starbucks and Apple and shows how managers use accounting information to make decisions in these companies. It helps students become better problem-solvers, using a robust end of chapter practice content and uses interactive technology to enhance student learning. Whitecotton/Libby/Phillips Managerial Accounting brings lively and engaging coverage of managerial accounting topics and decision-making focus to the managerial accounting course and pairs perfectly with Phillips/Clor-Proell/Libby/Libby Fundamentals of Financial Accounting, to provide a truly comprehensive solution to your introductory students.

With the advent of the Al era, professionals need to select the right tools to meet new opportunities and challenges! This instructional material focuses on the application of big data analysis, text mining, and machine learning in auditing to assist readers in understanding the latest developments in data analysis and smart audit.JCAATs is a new generation audit software developed by Python, which can be executed in a Windows and MAC operation systems with a multi-language, visual, and easy-to-use interface. Non-IT professionals can easily conduct smart data analysis. Through JCAATs' built-in data fusion technology and OPEN DATA connector, heterogeneous data can be quickly analyzed in real-time and effectively identifying anomalies. The features of this book include:The book is structured to provide a progressive learning experience, with chapters covering different concepts and applications, as well as exercises and practice questions. The official textbook endorsed by ICAEA

OverviewUsed extensively by professionals, organizations and schools across the country, Reilly/Brown/Leeds' INVESTMENT ANALYSIS AND PORTFOLIO MANAGEMENT, 11th Edition, combines solid theory with practical applications to help students learn how to manage their money to maximize their earning potential. Now streamlined into a succinct 18 chapters, the text has been thoroughly revised to present content that is vital to a thorough understanding of investment management in the most effective way. It uses real-world illustrations and hands-on exercises to bring investment concepts to life for students. The 11th edition continues its tradition of unparalleled international coverage. It also offers expanded discussions of the impact of changes in both technology and regulations on the functioning and organization of global security markets and devotes three chapters to derivatives securities.

內容簡介:以簡單有效率的方式分析資料與預測結果 機器學習的目的是預測，使用你已經知道的來預測你想要知道的—根據這兩者之間的歷史關係。它的核心是一種數學 / 演算法技術，你需要深入瞭解數學與統計學概念，並熟悉 R 與其他專用語言。本書為廣大的讀者簡化機器學習技術，把焦點放在兩種可以有效地預測結果的演算法族群，告訴你如何透過熱門且容易上手的 Python 程式語言來使用它們。 作者 Michael B

DescriptionFor undergraduate courses in derivatives, options and futures, financial engineering, financial mathematics, and risk management. A reader-friendly book with an abundance of numerical and r

For undergraduate courses in derivatives, options and futures, financial engineering, financial mathematics, and risk management. A reader-friendly book with an abundance of numerical and real-life ex