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 Free Download Management Accounting: International Syllabus, 7th edition by Carsten Berkau English | 2023 | ISBN: 3739831944 | 324 Pages | PDF | 5.37 MB
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 Free Download Mehta, "Machine Tool Design and Numerical Control" English | 2013 | ISBN: 1259004570 | PDF | pages: 561 | 36.4 mb
 Free Download Machine Learning e Intelligenza artificiale: Strategie, Tecniche e Applicazioni per il Futuro Digitale Italiano | 2023 | ASIN: B0CHH5ZXT9 | 146 Pages | EPUB | 3 MB Alla ricerca di una guida che ti sveli i misteri dell'Intelligenza Artificiale e del Machine Learning? Sei nel posto giusto! Benvenuto nel primo e straordinario volume della serie Tech Pills: "Machine Learning e Intelligenza Artificiale". Una ventata rivoluzionaria che rende le tematiche tecnologiche un piacere alla lettura e alla comprensione, anche per chi non ha mai sfogliato un libro sull'argomento.  Free Download Machine Learning Mathematics in Python (Mastering Machine Learning) by Jamie Flux English | July 6, 2024 | ISBN: N/A | ASIN: B0D8ZN5L1L | PDF | 4.37 Mb This book delves into the intricate relationship between mathematics and machine learning, providing readers with a comprehensive understanding of the mathematical concepts that underpin modern AI. From linear algebra and calculus to probability theory and statistics, each chapter explores a different mathematical topic and its application in machine learning. Throughout the book, readers will learn about fundamental concepts such as regression, classification, clustering, and deep learning, as well as advanced topics like reinforcement learning, GANs, and quantum machine learning. With a focus on both theoretical foundations and practical applications, "Machine Learning Mathematics" is an indispensable resource for anyone looking to deepen their understanding of the mathematical principles that drive contemporary AI algorithms.
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 Free Download MATLAB Curve Fitting Toolbox User's Guide English | 2024 | ISBN: n/a | 890 Pages | PDF (True) | 10 MB  Free Download Loss Reserving: An Actuarial Perspective By Greg Taylor (auth.) 2000 | 389 Pages | ISBN: 1461370701 | PDF | 7 MB All property and casualty insurers are required to carry out loss reserving as a statutory accounting function. Thus, loss reserving is an essential sphere of activity, and one with its own specialized body of knowledge. While few books have been devoted to the topic, the amount of published research literature on loss reserving has almost doubled in size during the last fifteen years. Greg Taylor's book aims to provide a comprehensive, state-of-the-art treatment of loss reserving that reflects contemporary research advances to date. Divided into two parts, the book covers both the conventional techniques widely used in practice, and more specialized loss reserving techniques employing stochastic models. 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