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Building responsible ai algorithms, Duke, Toju


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Цена: 4611.00р.
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Автор: Duke, Toju
Название:  Building responsible ai algorithms
ISBN: 9781484293058
Издательство: Springer
Классификация:




ISBN-10: 1484293053
Обложка/Формат: Paperback
Страницы: 190
Вес: 0.33 кг.
Дата издания: 17.08.2023
Издание: 1st ed.
Иллюстрации: 1 illustrations, color; 4 illustrations, black and white; xvii, 190 p. 5 illus., 1 illus. in color.
Размер: 153 x 233 x 16
Подзаголовок: A framework for transparency, fairness, safety, privacy, and robustness
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies. AI offers the ability to solve many problems today if implemented correctly and responsibly. This book helps you avoid negative impacts – that in some cases have caused loss of life – and develop models that are fair, transparent, safe, secure, and robust. The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML. It begins with an examination of the foundational elements of responsibility, principles, and data. Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers. What You Will Learn * Build AI/ML models using Responsible AI frameworks and processes * Document information on your datasets and improve data quality * Measure fairness metrics in ML models * Identify harms and risks per task and run safety evaluations on ML models * Create transparent AI/ML models * Develop Responsible AI principles and organizational guidelines Who This Book Is For AI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms
Дополнительное описание: Part I. Foundation.- 1. Responsibility.- 2. AI Principles.- 3. Data.- Part II. Implementation.- 4. Fairness.- 5. Safety.- 6. Humans in the Loop.- 7. Explainability.- 8. Privacy.- 9. Robustness.- Part III. Ethical Considerations.- 10. Ethics of AI and ML.-



How to Prove It : A Structured Approach

Автор: Daniel J. Velleman
Название: How to Prove It : A Structured Approach
ISBN: 1108439535 ISBN-13(EAN): 9781108439534
Издательство: Cambridge Academ
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Цена: 5861.00 р.
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Описание: Proofs play a central role in advanced mathematics and theoretical computer science, and this bestselling text`s third edition will help students transition from solving problems to proving theorems by teaching them the techniques needed to read and write proofs, with a new chapter on number theory and over 150 new exercises.

Introduction to Algorithms 4E

Автор: Cormen, Thomas H.
Название: Introduction to Algorithms 4E
ISBN: 026204630X ISBN-13(EAN): 9780262046305
Издательство: MIT Press
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Цена: 25394.00 р.
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Описание: A comprehensive update of a widely used textbook, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Since the publication of the first edition, Introduction to Algorithms has become a widely used text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout, with new chapters on matchings in bipartite graphs, online algorithms, and machine learning, and new material on such topics as solving recurrence equations, hash tables, potential functions, and suffix arrays.

Each chapter is relatively self-contained, presenting an algorithm, a design technique, an application area, or a related topic, and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The fourth edition has 140 new exercises and 22 new problems, and color has been added to improve visual presentations. The writing has been revised throughout, and made clearer, more personal, and gender neutral. The book's website offers supplemental material.

Computer Age Statistical Inference, Student Edition

Автор: Bradley Efron , Trevor Hastie
Название: Computer Age Statistical Inference, Student Edition
ISBN: 1108823416 ISBN-13(EAN): 9781108823418
Издательство: Cambridge Academ
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Цена: 5069.00 р.
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Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.

Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles

Автор: Karumanchi Narasimha
Название: Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
ISBN: 819324527X ISBN-13(EAN): 9788193245279
Издательство: Неизвестно
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Цена: 8734.00 р.
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Описание:

Peeling Data Structures and Algorithms:

Table of Contents: goo.gl/JFMgiU
Sample Chapter: goo.gl/n2Hk4i
Found Issue? goo.gl/forms/4Gt72YO81I
Videos: goo.gl/BcHq74

"Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.

A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems.

Topics Covered:

  1. Introduction
  2. Recursion and Backtracking
  3. Linked Lists
  4. Stacks
  5. Queues
  6. Trees
  7. Priority Queue and Heaps
  8. Disjoint Sets ADT
  9. Graph Algorithms
  10. Sorting
  11. Searching
  12. Selection Algorithms Medians]
  13. Symbol Tables
  14. Hashing
  15. String Algorithms
  16. Algorithms Design Techniques
  17. Greedy Algorithms
  18. Divide and Conquer Algorithms
  19. Dynamic Programming
  20. Complexity Classes
  21. Miscellaneous Concepts
Introduction to algorithms  3 ed.

Автор: Cormen, Thomas H., E
Название: Introduction to algorithms 3 ed.
ISBN: 0262033844 ISBN-13(EAN): 9780262033848
Издательство: MIT Press
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Цена: 27588.00 р.
Наличие на складе: Нет в наличии.

Описание: A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.

Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications

Автор: Belyadi Hoss, Haghighat Alireza
Название: Machine Learning Guide for Oil and Gas Using Python: A Step-By-Step Breakdown with Data, Algorithms, Codes, and Applications
ISBN: 0128219297 ISBN-13(EAN): 9780128219294
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание:

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.

String Algorithms in C: Efficient Text Representation and Search

Автор: Mailund Thomas
Название: String Algorithms in C: Efficient Text Representation and Search
ISBN: 148425919X ISBN-13(EAN): 9781484259191
Издательство: Springer
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Цена: 9083.00 р.
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Описание: 1. Introduction.- 2. Classical Algorithms for Exact Search 3. Suffix Trees4. Suffix Arrays 5. Approximate Search6. ConclusionsAppendix A: VectorsAppendix B: ListsAppendix C: Queues

Image Analysis, Classification and Change Detection in Remote Sensing

Автор: Canty, Morton John
Название: Image Analysis, Classification and Change Detection in Remote Sensing
ISBN: 1032475749 ISBN-13(EAN): 9781032475745
Издательство: Taylor&Francis
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Цена: 7195.00 р.
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Responsible Artificial Intelligence

Автор: Schmidpeter, Rene
Название: Responsible Artificial Intelligence
ISBN: 3031092449 ISBN-13(EAN): 9783031092442
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence and digitalization. The chapter "Exploring AI with purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Algorithm Design with Haskell

Автор: Richard S. Bird, Jeremy Gibbons
Название: Algorithm Design with Haskell
ISBN: 1108491618 ISBN-13(EAN): 9781108491617
Издательство: Cambridge Academ
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Цена: 8712.00 р.
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Описание: This book presents the five main principles of algorithm design: divide and conquer, greedy algorithms, thinning, dynamic programming, and exhaustive search. It serves students, teachers, researchers, and professionals who want to know more about what goes into a good algorithm and how such algorithms can be expressed in purely functional terms.

Towards responsible machine translation

Автор: Helena Moniz
Название: Towards responsible machine translation
ISBN: 3031146883 ISBN-13(EAN): 9783031146886
Издательство: Springer
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Цена: 18167.00 р.
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Antiquities beyond humanism /

Автор: Emanuela Bianchi
Название: Antiquities beyond humanism /
ISBN: 0198805675 ISBN-13(EAN): 9780198805670
Издательство: Oxford Academ
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Цена: 15682.00 р.
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Описание: The presumed dichotomy between a Greco-Roman paradigm of Western humanism and new theoretical currents in the humanities is exploded in this volume, which explores the myriad ways in which Greek and Roman philosophy and literature can be understood as foregrounding the non-human rather than simply reflecting the ideals of classical humanism.


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