Machine Learning for Financial Risk Management with Python

本套 Volume 2 音檔 CD 專為《Open for Business》第二冊設計，提供學習者與母語者同步聆聽、反覆跟讀的練習機會。音檔內容完整對應課文段落、句型示例與重點詞彙解析，協助強化聽力理解與口語表達。全系列鎖定大學三、四年級程度，結合進階華語訓練與當代商業議題，涵蓋中國的產業發展、管理實務與經濟趨勢。完成一年課程後，學習者可閱讀商業期刊、理解專業文件，並以中文進行簡報與商務溝通。本套音檔是深化學習成效、培養實用商業中文能力的重要輔助資源。The Open for Business, Volume 2 set of three audio CDs offers learners the opportunity to listen and repeat after a native speaker. This set contains audio recordings that correspond to Volume 2’s text sections, sentence structure examples, and vocabulary analyses.About the SeriesDesigned for students in the third or fourth year of a college-level Chinese language curriculum, Open for Business combines language learning with an introduction to business trends and issues such as macroeconomics, technological innovations, modern management practices, and much more. Upon completion of this one-year course, students will be able to read Chinese-language periodicals and business-related documents, as well as conduct business negotiations and presentations in Chinese

Eye-popping visuals and vibrant colors combined with practical exercises make learning Chinese fun and effective Practice Makes Perfect: Beginning Chinese Interactive Edition incorporates video, two

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Welcome to neighborhood dog show! First Maxie speaks. Second Baxter begs. Third Daisy rolls over, but will Henry the fourth steal the show? Learning ordinals with this pack of playful pooches will hav

The popular Sesame Street characters invite beginning readers to join with them in playing the favorite rhyming nursery game that introduces such early learning concepts as colors, sizes, and shapes.

Everyday activities such as sharing a meal, sorting socks, and getting ready for school can be part of learning math. In the MathStart series, everyday life is the basis for each entertaining story. S

Complemented by Dr. Seuss's rhyming text and familiar creature illustrations, a sturdy, hand-sized introduction to the alphabet makes learning as simple as A, B, C. For children under three.

"This book...recounts the persistence of a Frenchman, Louis Bleriot, to build a flying machine to cross the English Channel.... The text is succinct, caption-like in its directness and brevity....The

Huna philosophy is about learning to become a conscious cocreator with the Universe. Hawaiian shaman King uses Kahuna healing methods to help us access the hidden energy of life, develop powers of co

Come along with Bear and learn about the different rooms of his house. Rhyme and repetition builds vocabulary and a full spread "blueprint" of Bear's house reinforces the learning layers.Winner of the

Tremendous, chuggy tractors, sor sturdy and so strong, connection up to farm machines and pulling them along.Climb aboard a tractor with a trio of friendly farmers in this playful picture book.Zippy wordplay, zappy art, plus a helpful picture dictionary make learning about tractors fun!

Highlights(TM) Write-On Wipe-Off Fun to Learn books are perfect for engaging kids in activity-based learning and having fun at the same time. Books feature reusable pages and a Highlights branded mark

Rod Campbell, the creator of the preschool lift-the-flap classic Dear Zoo, has been a trusted name in early learning for over thirty-five years. In My Presents, toddlers can lift the flaps to find out what's inside all the birthday presents. Then open the very last one and look inside the basket to find the best present of all! With bright, bold artwork, an engaging story and lots of presents to open, My Presents is the perfect birthday gift for fans of Dear Zoo and Dear Santa – and the thick card pages, sturdy flaps and chunky cased cover make it great for small hands.

Hike through the rainforest, scale a mountain, swim across the ocean, and still make it home for dinner. Rhyme and repetition make learning fun in this terrain-traversing title that encourages movement and reinforces animal sounds.

Pick a book. Grow a Reader!This series is part of Scholastic's early reader line, Acorn, aimed at children who are learning to read. With easy-to-read text, a short-story format, plenty of humor, and full-color artwork on every page, these books will boost reading confidence and fluency. Acorn books plant a love of reading and help readers grow!Yeti is good at kicking the ball.Unicorn cannot kick the ball.Unicorn is good at running races.Yeti cannot run fast.Unicorn and Yeti play ring toss, run a race, and go ice skating. These laugh-out-loud stories with full-color artwork and easy-to-read text throughout are perfect for new readers!

Moby Shinobi and Toby #1-3Moby Shinobi and his sidekick Toby are heading to the beach in this action-packed, rhyming early reader!Pick a book. Grow a Reader!This series is part of Scholastic's early reader line, Acorn, aimed at children who are learning to read. With easy-to-read text, a short-story format, plenty of humor, and full-color artwork on every page, these books will boost reading confidence and fluency. Acorn books plant a love of reading and help readers grow!Moby Shinobi and his dog Toby are excited for a day at the beach! Moby tries to use his ninja skills to build a huge sand castle, catch some fish, and save a leaking sailboat... but each try ends in a mess! What if Moby isn't right for the job? But with some help from Toby, he discovers that teamwork makes every job easier! With easy-to-read rhyming text and full-color artwork throughout, this early reader series is sure to be a hit with beginning readers!

Frog, Dog, and Goat find ways to stay dry in the rain, in this rhyming laugh-out-loud series for beginning readers!National Cartoonists Society Winner for Best Book IllustrationPick a book. Grow a Reader!This series is part of Scholastic's early reader line, Acorn, aimed at children who are learning to read. With easy-to-read text, a short-story format, plenty of humor, and full-color artwork on every page, these books will boost reading confidence and fluency. Acorn books plant a love of reading and help readers grow!Frog and Dog are playing in the sun with Goat. But Goat is wearing a raincoat! Dog laughs at Goat's coat. But when it starts to rain, Goat is very glad to have a coat... and a boat. Will Goat let Dog onto the boat? Discover this silly friendship series perfect for beginning readers, from author-illustrator Janee Trasler. Told in three short stories with rhyming text, simple vocabulary, and colorful artwork, this is the just-right book to grow confidence in young readers!

Frog, Dog, and Pig find ways to share, in this rhyming laugh-out-loud series perfect for beginning readers!National Cartoonists Society Winner for Best Book IllustrationPick a book. Grow a Reader!This series is part of Scholastic's early reader line, Acorn, aimed at children who are learning to read. With easy-to-read text, a short-story format, plenty of humor, and full-color artwork on every page, these books will boost reading confidence and fluency. Acorn books plant a love of reading and help readers grow!Frog and Dog meet a new friend, Pig. But Pig is not good at sharing... in fact, she's a bit of a HOG. She will not share her LOG, she will not share her LUNCH, and she will not share the spotlight! Can these friends find a way to get along? Discover this silly friendship series perfect for beginning readers, from author-illustrator Janee Trasler. Told in three short stories with rhyming text, simple vocabulary, and colorful artwork, this is the just-right book to grow confidence

This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slide

Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design mod

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kep

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an onli

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.

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

Learning Chinese Language and Culture is an intermediate-level textbook intended to be used throughout the entire school year and designed mainly for students who have completed introductory courses o

Essentials of Financial Management is paperback edition of an Open Access e-textbook suitable for students with limited knowledge of finance and financial markets. It answers the main questions of a c

Empowering you for success, Brigham/Ehrhardt's FINANCIAL MANAGEMENT: THEORY AND PRACTICE, 16th edition, equips you with a solid understanding of key theoretical concepts along with practical tools to

A mathematical guide to measuring and managing financial risk. Our modern economy depends on financial markets. Yet financial markets continue to grow in size and complexity. A

Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It il

This book analyzes the impacts that family control of firms has on capital structure choices, leverage and the risk of financial distress, earnings management practices, and the relation between accou

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

Enterprise risk management has never been as topical as it currently is. The 2008 financial crisis, ever-present cyber-security threats, market volatility, increasing regulation, climate change, stake

Machine learning can be a difficult subject if you’re not familiar with the basics. With this book, you'll get a solid foundation of introductory principles used in machine learning with the sta

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.Key FeaturesExplore machine learning techniques with prominent ope

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal evasion of classifiers are discussed in detail, and in-depth case studies on email spam and network security highlight successful attacks on traditional machine learning algorithms. Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning,

Supply Chain Risk Management is a practical learning resource assessing the various sources of external threats to the supply chain, such as natural disasters, economic risk, terrorism and piracy. It

Financial Management for Nurse Managers: Merging the Heart with the Dollar, Fourth Edition is a unique text that addresses the financial management issues faced by nurse leaders in a variety of settin

Risk management has never been as topical. The 2008 financial crisis, ever-present cyber-security threats, market volatility, increasing regulation, climate change, stakeholder activism and changing w