Advances in Explainable Artificial Intelligence -
-25% koodilla BOOKS
Toimitus 10-16 arkipäivässä
30 päivän palautusoikeus
Machine Learning (ML)-based Artificial Intelligence (AI) algorithms have the capability to learn from known examples, creating various abstract representations and models. When applied to unfamiliar examples, these algorithms can perform a range of tasks, including classification, regression, and forecasting, to name a few. Frequently, these highly effective ML representations are challenging to comprehend, ... Täydellinen kuvaus
Saatat myös pitää
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How To Think About AI: A Guide For The Perplexed
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
AI Engineering: Building Applications with Foundation Models
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Art of Game Design: A Book of Lenses
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
HBR Guide to Generative AI for Managers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How to Talk to AI: (And How Not To)
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How Linux Works: What Every Superuser Should Know
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Hands-On Large Language Models: Language Understanding and Generation
Maarten Grootendorst, Jay Alammar
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
World of Warcraft Chronicle, Volume 2
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
Machine Learning (ML)-based Artificial Intelligence (AI) algorithms have the capability to learn from known examples, creating various abstract representations and models. When applied to unfamiliar examples, these algorithms can perform a range of tasks, including classification, regression, and forecasting, to name a few. Frequently, these highly effective ML representations are challenging to comprehend, especially in the case of Deep Learning models, which may involve millions of parameters. However, in many applications, it is crucial for stakeholders to grasp the reasoning behind the system's decisions to utilize them more effectively. This necessity has prompted extensive research efforts aimed at enhancing the transparency and interpretability of ML algorithms, forming the field of explainable Artificial Intelligence (XAI). The objectives of XAI encompass: introducing transparency to ML models by offering comprehensive insights into the rationale behind specific decisions; designing ML models that are both more interpretable and transparent, while maintaining high levels of performance;, and establishing methods for assessing the overall interpretability and transparency of models, quantifying their effectiveness for various stakeholders. This Special Issue gathers contributions on recent advancements and techniques within the domain of XAI.
Lisätietoja
| Julkaisija | MDPI AG |
|---|---|
| Julkaisuvuosi | 2024 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9783725802838 |