Gerald FriedlandBiblio.com
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ria9781430303886_inpPaperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This doctoral dissertation in computer science describes how traditional chalk and talk lectures can be transmitted over the web while maximizing the quality and minimizing the amount of extra effort. The book presents a comprehensive d paperback
B9781430303886Paperback / softback. New. paperback
B9781484241455Paperback / softback. New. You can also use this book as an opportunity to dust off your computing skills or learn programming concepts for the first time on a system that's easy approachable and fun with a nostalgic twist. Commodore computers were the most sold computing devices before the iPhone. paperback
B9783031394768Hardback. New. <p>This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field.</p> <p>Stemming from a UC Berkeley seminar on experimental design for machine learning tasks these techniques aim to overcome the 'black box' approach of machine learning by reducing conjectures such as magic numbers hyper-parameters or model-type bias. Information-based machine learning enables data quality measurements a priori task complexity estimations and reproducible design of data science experiments. The benefits include significant size reduction increased explainability and enhanced resilience of models all contributing to advancing the discipline's robustness and credibility.</p> <p>While bridging the gap between machine learning and disciplines such as physics information theory and computer engineering this textbook maintains an accessible and comprehensive style making complex topics digestible for a broad readership. <i>Information-Driven Machine Learning</i> explores the synergistic harmony among these disciplines to enhance our understanding of data science modeling. Instead of solely focusing on the "how" this text provides answers to the "why" questions that permeate the field shedding light on the underlying principles of machine learning processes and their practical implications. By advocating for systematic methodologies grounded in fundamental principles this book challenges industry practices that have often evolved from ideologic or profit-driven motivations. It addresses a range of topics including deep learning data drift and MLOps using fundamental principles such as entropy capacity and high dimensionality.</p> <p>Ideal for both academia and industry professionals this textbook serves as a valuable tool for those seeking to deepen their understanding of data science as an engineering discipline. Its thought-provoking content stimulates intellectual curiosity and caters to readers who desire more than just code or ready-made formulas. The text invites readers to explore beyond conventional viewpoints offering an alternative perspective that promotes a big-picture view for integrating theory with practice. Suitable for upper undergraduate or graduate-level courses this book can also benefit practicing engineers and scientists in various disciplines by enhancing their understanding of modeling and improving data measurement effectively.</p><br /><p></p> hardcover
ria9783031394768_inpHardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on experimental design for machine learni hardcover
46830729-nnew. unknown
46830729like new. unknown
6399324591Springer pp. 336 . Hardback. New. Springer hardcover
2024Adhya-9783031394768SPRINGER 2024. Hardcover. New. SPRINGER hardcover
2024Adhya-9783031394768SPRINGER 2024. Hardcover. New. SPRINGER hardcover
2023Atlantic-9783031394768Springer 2023. 1. Hardcover. New. Springer hardcover
2023Atlantic-9783031394768Springer 2023. 1. Hardcover. New. Springer hardcover
ria9780521764513_inpHardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This innovative textbook presents an experiential holistic approach to multimedia computing along with practical algorithms. hardcover
20284399-nnew. unknown
20284399like new. unknown
2014Adhya-9780521764513CAMBRIDGE UNIVERSITY PRESS 2014. Hardcover. New. CAMBRIDGE UNIVERSITY PRESS hardcover
A9780521764513Hardback. New. This innovative textbook presents an experiential holistic approach to multimedia computing along with practical algorithms. hardcover
B9780521764513Hardback. New. This innovative textbook presents an experiential holistic approach to multimedia computing along with practical algorithms. hardcover
2014Adhya-9780521764513CAMBRIDGE UNIVERSITY PRESS 2014. Hardcover. New. CAMBRIDGE UNIVERSITY PRESS hardcover
183466685Potsdam, Ferdinand Riegel, 1834. 8°. VIII, 460 S., HLdr. d. Zt. m. etw. Rückenverg. u. goldgepr. Rückenschild.
9788535900460CIA DAS LETRAS. new. ". Este livro conta a hist�ria dos homens responsveis por dez das maiores descobertas da medicina moderna. Do holands que fabricava lentes de aumento e teve a curiosidade de examinar uma gota de chuva percebendo ento seres minsculos em seu interior - as bactrias - aos ingleses que h cinco dcadas decifraram a estrutura do DNA os autores reconstroem um caminho de quinhentos anos. Friedman e Friedland foram felizes em sua dif�cil escolha. Eleies desse tipo sempre geram controvrsias mas no h como negar: vacinas raios X anestesia descoberta do colesterol tcnicas de cultura de clulas antibi�ticos anatomia circulao bacteriologia e DNA esto entre as conquistas mais decisivas da medicina que praticamos hoje. Os autores no se limitam a falar da carreira dos responsveis por esses momentos em que a cincia mudou a medicina de rumo CIA DAS LETRAS unknown
2000Q-0300082789Yale University Press 2000-08-11. Paperback. New. In shrink wrap. Looks like an interesting title! Yale University Press paperback
1999249449Le grand livre du mois 1999 319 pages in8. 1999. Broché. 319 pages.
1998Q-0300075987Yale University Press 1998-11-10. Hardcover. New. New. In shrink wrap. Looks like an interesting title! Yale University Press hardcover
