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Author: Kyle Dillon Hertz
Publisher: Simon and Schuster
ISBN: 1668005883
Category : Fiction
Languages : en
Pages : 288
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Book Description
New York Times Editors’ Choice Vanity Fair's 20 Favorite Books of 2023 Debutiful Best Book of the Year Crimereads Best Debut of August “Hertz has managed to tell a story of queer healing with all the narrative force of a thriller and the searing fury of an indictment.” —The New York Times Book Review A fearless debut novel of resilience, transcendence, and the elusive promise of justice. Brooklyn, 2019. Dylan has lived through the unfathomable: three years as a victim of sex trafficking as a teen. Now years later—long after a police investigation that went nowhere with the domestic life he built to survive—the Child Victims Act opens up a way forward: a one-year window to sue past abusers, but once the lookback window starts, Dylan seeks answers everywhere: in the druggy reveries of Fire Island to the love-drunk strangers of summer nights downtown and the lawyers who watch over the park, finally emerging from an erotic and violent spiral with a new clarity of purpose: a righteous determination to gaze, unflinching, upon the brutal men whose faces have haunted him for a decade, and to extract justice on his own terms.
Author: Kyle Dillon Hertz
Publisher: Simon and Schuster
ISBN: 1668005883
Category : Fiction
Languages : en
Pages : 288
Get Book Here
Book Description
New York Times Editors’ Choice Vanity Fair's 20 Favorite Books of 2023 Debutiful Best Book of the Year Crimereads Best Debut of August “Hertz has managed to tell a story of queer healing with all the narrative force of a thriller and the searing fury of an indictment.” —The New York Times Book Review A fearless debut novel of resilience, transcendence, and the elusive promise of justice. Brooklyn, 2019. Dylan has lived through the unfathomable: three years as a victim of sex trafficking as a teen. Now years later—long after a police investigation that went nowhere with the domestic life he built to survive—the Child Victims Act opens up a way forward: a one-year window to sue past abusers, but once the lookback window starts, Dylan seeks answers everywhere: in the druggy reveries of Fire Island to the love-drunk strangers of summer nights downtown and the lawyers who watch over the park, finally emerging from an erotic and violent spiral with a new clarity of purpose: a righteous determination to gaze, unflinching, upon the brutal men whose faces have haunted him for a decade, and to extract justice on his own terms.
Author: Kyle Dillon Hertz
Publisher: Simon and Schuster
ISBN: 1668005891
Category : Fiction
Languages : en
Pages : 288
Get Book Here
Book Description
New York Times Editors’ Choice Vanity Fair's 20 Favorite Books of 2023 Debutiful Best Book of the Year Crimereads Best Debut of August “Hertz has managed to tell a story of queer healing with all the narrative force of a thriller and the searing fury of an indictment.” —The New York Times Book Review A fearless debut novel of resilience, transcendence, and the elusive promise of justice. Brooklyn, 2019. Dylan has lived through the unfathomable: three years as a victim of sex trafficking as a teen. Now years later—long after a police investigation that went nowhere with the domestic life he built to survive—the Child Victims Act opens up a way forward: a one-year window to sue past abusers, but once the lookback window starts, Dylan seeks answers everywhere: in the druggy reveries of Fire Island to the love-drunk strangers of summer nights downtown and the lawyers who watch over the park, finally emerging from an erotic and violent spiral with a new clarity of purpose: a righteous determination to gaze, unflinching, upon the brutal men whose faces have haunted him for a decade, and to extract justice on his own terms.
Author: Joyce Kay Avila
Publisher: "O'Reilly Media, Inc."
ISBN: 1098147820
Category : Computers
Languages : en
Pages : 467
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Book Description
Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform. This practical book provides a comprehensive overview that shows architects, administrators, developers, data engineers, and marketers how to ingest, store, and manage real-time customer data. Author Joyce Kay Avila demonstrates how to use Salesforce's native connectors, canonical data model, and Einstein's built-in trust layer to accelerate your time to value. You'll learn how to leverage Salesforce's low-code/no-code functionality to expertly build a Data Cloud foundation that unlocks the power of structured and unstructured data. Use Data Cloud tools to build your own predictive models or leverage third-party machine learning platforms like Amazon SageMaker, Google Vertex AI, and Databricks. This book will help you: Develop a plan to execute a CDP project effectively and efficiently Connect Data Cloud to external data sources and build out a Customer 360 Data Model Leverage data sharing capabilities with Snowflake, BigQuery, Databricks, and Azure Use Salesforce Data Cloud capabilities for identity resolution and segmentation Create calculated, streaming, visualization, and predictive insights Use Data Graphs to power Salesforce Einstein capabilities Learn Data Cloud best practices for all phases of the development lifecycle
Author: Chris Kelliher
Publisher: CRC Press
ISBN: 1000582302
Category : Business & Economics
Languages : en
Pages : 698
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Book Description
Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques, and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.
Author: Yusheng Xue
Publisher: Springer Nature
ISBN: 9811671567
Category : Technology & Engineering
Languages : en
Pages : 658
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Book Description
This book includes original, peer-reviewed research papers from the 2021 International Top-Level Forum on Engineering Science and Technology Development Strategy -- the 6th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2021), held in Nanjing, China, on August 14-22, 2021. The accepted papers cover the following topics: 1. Advanced power transmission technology 2. AC/DC hybrid power grid technology3. Power Internet of Things Technology and Application4. Operation, control and protection of smart grid5. Active distribution network technology6. Power electronic technology and application7. New technology of substation automation8. Energy storage technology and application9. Application of new technologies such as artificial intelligence, blockchain, and big data10. Application of Information and Communication Technology11. Low-carbon energy planning and security12. Low-carbon operation of the power system13. Low-carbon energy comprehensive utilization technology14. Carbon trading and power market15. Carbon emission stream and carbon capture technology16. Energy saving and smart energy technology17. Analysis and evaluation of low-carbon efficiency of power system18. Carbon flow modelling in power system operationThe papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in these areas, which makes the book a valuable reference for researchers, engineers, and university students.
Author: Dirk Willer
Publisher: John Wiley & Sons
ISBN: 1119599059
Category : Business & Economics
Languages : en
Pages : 277
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Book Description
A practitioner's guide to finding alpha in fixed income trading in emerging markets Emerging fixed income markets are both large and fast growing. China, currently the second largest economy in the world, is predicted to overtake the United States by 2030. Chinese fixed income markets are worth more than $11 trillion USD and are being added to global fixed income indices starting in 2019. Access for foreigners to the Indian fixed income market, valued at almost 1trn USD, is also becoming easier – a trend repeated in emerging markets around the world. The move to include large Emerging Market (EM) fixed income markets into non-EM benchmarks requires non-EM specialists to understand EM fixed income. Trading Fixed Income in Emerging Markets examines the principle drivers for EM fixed income investing. This timely guide suggests a more systematic approach to EM fixed income trading with a focus on practical trading rules on how to generate alpha, assisting EM practitioners to limit market-share losses to passive investment vehicles. The definitive text on trading EM fixed income, this book is heavily data-driven – every trading rule is thoroughly back-tested over the last 10+ years. Case studies help readers identify and benefit from market regularities, while discussions of the business cycle and typical EM events inform and optimise trading strategies. Topics include portfolio construction, how to apply ESG principles to EM and the future of EM investing in the realm of Big Data and machine learning. Written by practitioners for practitioners, this book: Provides effective, immediately-accessible tools Covers all three fixed income asset classes: EMFX, EM local rates and EM credit Thoroughly analyses the impact of the global macro cycle on EM investing Examines the influence of the financial rise of China and its fixed income markets Includes case studies of trades that illustrate how markets typically behave in certain situations The first book of its kind, Trading Fixed Income in Emerging Markets: A Practitioner’s Guide is an indispensable resource for EM fund managers, analysts and strategists, sell-side professionals in EM and non-EM specialists considering activity in emerging markets.
Author: Serg Masís
Publisher: Packt Publishing Ltd
ISBN: 1803243627
Category : Computers
Languages : en
Pages : 607
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Book Description
A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Interpret real-world data, including cardiovascular disease data and the COMPAS recidivism scores Build your interpretability toolkit with global, local, model-agnostic, and model-specific methods Analyze and extract insights from complex models from CNNs to BERT to time series models Book DescriptionInterpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps. In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.What you will learn Progress from basic to advanced techniques, such as causal inference and quantifying uncertainty Build your skillset from analyzing linear and logistic models to complex ones, such as CatBoost, CNNs, and NLP transformers Use monotonic and interaction constraints to make fairer and safer models Understand how to mitigate the influence of bias in datasets Leverage sensitivity analysis factor prioritization and factor fixing for any model Discover how to make models more reliable with adversarial robustness Who this book is for This book is for data scientists, machine learning developers, machine learning engineers, MLOps engineers, and data stewards who have an increasingly critical responsibility to explain how the artificial intelligence systems they develop work, their impact on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a good grasp of the Python programming language is needed to implement the examples.
Author: Yi Wang
Publisher: Springer Nature
ISBN: 9813363185
Category : Technology & Engineering
Languages : en
Pages : 774
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Book Description
This book presents selected papers from the 10th International Workshop of Advanced Manufacturing and Automation (IWAMA 2020), held in Zhanjiang, Guangdong province, China, on October 12-13, 2020. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Author: Jonathan Schneider
Publisher: "O'Reilly Media, Inc."
ISBN: 1492073873
Category : Computers
Languages : en
Pages : 306
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Book Description
In a microservices architecture, the whole is indeed greater than the sum of its parts. But in practice, individual microservices can inadvertently impact others and alter the end user experience. Effective microservices architectures require standardization on an organizational level with the help of a platform engineering team. This practical book provides a series of progressive steps that platform engineers can apply technically and organizationally to achieve highly resilient Java applications. Author Jonathan Schneider covers many effective SRE practices from companies leading the way in microservices adoption. You’ll examine several patterns discovered through much trial and error in recent years, complete with Java code examples. Chapters are organized according to specific patterns, including: Application metrics: Monitoring for availability with Micrometer Debugging with observability: Logging and distributed tracing; failure injection testing Charting and alerting: Building effective charts; KPIs for Java microservices Safe multicloud delivery: Spinnaker, deployment strategies, and automated canary analysis Source code observability: Dependency management, API utilization, and end-to-end asset inventory Traffic management: Concurrency of systems; platform, gateway, and client-side load balancing
Author: Alex Greyserman
Publisher: John Wiley & Sons
ISBN: 1118891023
Category : Business & Economics
Languages : en
Pages : 460
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Book Description
An all-inclusive guide to trend following As more and more savvy investors move into the space, trend following has become one of the most popular investment strategies. Written for investors and investment managers, Trend Following with Managed Futures offers an insightful overview of both the basics and theoretical foundations for trend following. The book also includes in-depth coverage of more advanced technical aspects of systematic trend following. The book examines relevant topics such as: Trend following as an alternative asset class Benchmarking and factor decomposition Applications for trend following in an investment portfolio And many more By focusing on the investor perspective, Trend Following with Managed Futures is a groundbreaking and invaluable resource for anyone interested in modern systematic trend following.
