moritz hardt (14 Ergebnisse)

Zustand: New.

Hardcover. 15,8 x 9,8 cm. Grauer Pappband mit montiertem Rückenschild. Gelber Dreiseitenschnitt. Der Einband stellenweise leicht fleckig. Ein Ex-Libris im Innendeckel wurde entfernt. LXXII S., Frontispiz, 3 Bll., 189 Seiten / Frontispiz, 2 Bll., 191 Seiten. Innen sauber und fest. Gutes Exemplar. Neu herausgegeben und eingeleitet von Dr. Fred B. Hardt. Die beiden Titelblätter mit der Angabe Verlag Friedrich Maurer, Berlin 1785 bzw. 1786. -- Bitte Portokosten außerhalb EU erfragen! / Please ask for postage costs outside EU! / S ' il vous plait demander des frais de port en dehors de l ' UE! // Bitte beachten Sie auch unsere Fotos! / Please also note our photos! / Veuillez noter nos photos -- Genießen Sie den Jahresanfang mit unterhaltender Lektüre! - Bei uns finden Sie das richtige Geschenk! -- Wir kaufen Ihre werthaltigen Bücher! Lit.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 320 pages. 10.00x7.00x1.00 inches. In Stock.

Hardcover. Zustand: Brand New. 320 pages. 10.00x7.00x1.00 inches. In Stock.

Zustand: NEW.

Gebunden. Zustand: New. &Uumlber den AutorMoritz Hardt is a director at the Max Planck Institute for Intelligent Systems. Benjamin Recht is professor of electrical engineering and computer sciences at the University of California, Berkeley.

Zustand: New. Solon Barocas is a Principal Researcher in the New York City lab of Microsoft Research, where he is a member of the Fairness, Accountability, Transparency, and Ethics in AI (FATE) research group. He is an Adjunct Assistant Professor in the Department of Inf.

Buch. Zustand: Neu. Neuware - An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning.Fairness and Machine Learning introduces advanced undergraduate and graduate students to the intellectual foundations of this recently emergent field, drawing on a diverse range of disciplinary perspectives to identify the opportunities and hazards of automated decision-making. It surveys the risks in many applications of machine learning and provides a review of an emerging set of proposed solutions, showing how even well-intentioned applications may give rise to objectionable results. It covers the statistical and causal measures used to evaluate the fairness of machine learning models as well as the procedural and substantive aspects of decision-making that are core to debates about fairness, including a review of legal and philosophical perspectives on discrimination. This incisive textbook prepares students of machine learning to do quantitative work on fairness while reflecting critically on its foundations and its practical utility. Introduces the technical and normative foundations of fairness in automated decision-making Covers the formal and computational methods for characterizing and addressing problems Provides a critical assessment of their intellectual foundations and practical utility Features rich pedagogy and extensive instructor resources.

Zustand: Gut. Zustand: Gut | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | Dive into the captivating world of artificial intelligence and data-driven innovation with "Patterns, Predictions, and Actions: A Story about Machine Learning" by acclaimed authors Moritz Hardt and Benjamin Recht. This enthralling narrative unfolds like a carefully crafted algorithm, weaving together the threads of cutting-edge technology, human ingenuity, and the limitless possibilities of machine learning. Embark on a journey that unravels the intricate patterns hidden within vast datasets, as Hardt and Recht skillfully guide you through the labyrinth of algorithms and models. Immerse yourself in the language of data science, where every line of code tells a story, and every prediction holds the key to unlocking unprecedented insights. From regression analysis to deep neural networks, this book explores the diverse landscape of machine learning, offering readers a comprehensive understanding of the tools shaping the future. As you turn the pages, you'll witness the power of predictive analytics as it transcends industries, from finance to healthcare, and transforms the way we approach complex problems. The authors illuminate the synergy between man and machine, emphasizing how collaborative efforts between humans and algorithms can usher in a new era of technological advancement and societal progress. "Patterns, Predictions, and Actions" is not merely a book; it's a roadmap for the curious minds seeking to decipher the intricate dance between data and decisions. With each chapter, you'll discover how machine learning algorithms unravel patterns in chaos, predict future trends with uncanny accuracy, and ultimately empower us to take decisive actions that shape the world around us. This literary masterpiece is a treasure trove of knowledge for both the seasoned data scientist and the curious novice. Whether you're fascinated by the mathematical intricacies of machine learning or intrigued by its real-world applications, this book offers a rare blend of technical expertise and storytelling prowess. Uncover the secrets of machine learning, demystify the algorithms driving innovation, and embark on a journey that explores the intersection of human intuition and artificial intelligence. "Patterns, Predictions, and Actions" invites you to envision a future where the marriage of data and decision-making transforms not just industries, but the very fabric of our existence. Immerse yourself in this captivating narrative, and let the algorithms guide you through a story that is as profound as it is predictive.