Arama Sonuçları - (( machines history. ) OR ( machines library. ))

Explorations in the History of Machines and Mechanisms Proceedings of the Fifth IFToMM Symposium on the History of Machines and Mechanisms /

İçindekiler: “…Montes, Rafael Lopez-Garcia, Ruben Dorado-Vicente and Francisco Javier Trujillo Vilches -- An Introduction to the Ancient Mechanical Wind-instrument Automata, by Yu-Hsun Chen, Jian-Liang Lin and Hong-Sen Yan -- Dynamic Reconstruction of a Colonial Mexican Mechanism, by Juan Carlos Jauregui and Gabriela Rodriguez-Zahar -- Leibniz's Developments of Machine Science, by Agamenon Oliveira -- On the Mechanics of Living Nature in the Works of V. …”
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Explorations in the History and Heritage of Machines and Mechanisms Proceedings of the 2018 HMM IFToMM Symposium on History of Machines and Mechanisms /

İçindekiler: “…Retrospective Memories of the Past, by JanuszWawrzecki -- An Overview on the Studies of the History of Machinery in China, by Baichun Zhang Yexing Liu -- Chapter 2: History of machine design -- History of Human Powered Oil Expeller: A Literature Review, by Siraj Sheikh -- Literature Review on the Developments of Rice Milling Machines, by M. …”
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Essays on the History of Mechanical Engineering

İçindekiler: “…More than a Century of History of Technology, by Riccardo Monastero, Giuseppe Genchi -- 13 History of the Trains Used on the Spanish Railway Line Madrid - Almorox, by Daniel Fernández Caballero, Víctor Rodríguez de la Cruz, Julián Martín Jarillo, Manuel Esperón Mínguez -- 14 Airship - The American Dream by Quirico Filopanti, 1851, Pier Gabriele Molari --  Section IV: Human Inventiveness for Mechanical and Scientific Devices -- 15 Archimedes' Screw in the Four Books "De Cochlea" by Guido Ubaldo del Monte [Santa Maria] - Venice - 1615: the Engineering and the Language, by Elena Magnini, Pier Gabriele Molari -- 16 On the Birth and Growth ofPendulum Clocks in the Early Modern Era, by Francesco Sorge, Marco Cammalleri, Giuseppe Genchi -- 17 Machine Designs and Drawings in Renaissance Editions of De Architectura by Marcus Vitruvius Pollio, by Michela Cigola, Marco Ceccarelli -- 18 Trompes or Water Bellows. …”
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Machine translation / Yazar: Poibeau, Thierry

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The Ascent of GIM, the Global Intelligent Machine A History of Production and Information Machines / Yazar: Koetsier, Teun

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Deep Learning with Python, Second Edition. Yazar: Chollet, Francois

İçindekiler: “…-- 1.1 Artificial intelligence, machine learning, and deep learning -- 1.1.1 Artificial intelligence -- 1.1.2 Machine learning -- 1.1.3 Learning rules and representations from data -- 1.1.4 The "deep" in "deep learning" -- 1.1.5 Understanding how deep learning works, in three figures -- 1.1.6 What deep learning has achieved so far -- 1.1.7 Don't believe the short-term hype -- 1.1.8 The promise of AI -- 1.2 Before deep learning: A brief history of machine learning -- 1.2.1 Probabilistic modeling -- 1.2.2 Early neural networks -- 1.2.3 Kernel methods -- 1.2.4 Decision trees, random forests, and gradient boosting machines -- 1.2.5 Back to neural networks -- 1.2.6 What makes deep learning different -- 1.2.7 The modern machine learning landscape -- 1.3 Why deep learning? …”
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Machines / Yazar: DeLeon, Abraham P.

İçindekiler: “…Cover; Series; Machines; Library of Congress Cataloging-in-Publication Data; Contents; Preface; Acknowledgements; Chapter 1: Locating the Machines; Chapter 2: Capitalism and Its Machines; Chapter 3: Colonial Machines; Chapter 4: Post-Machines ... …”
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Wooden Domes History and Modern Times / Yazar: Misztal, Barbara

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Advances in Mechanism and Machine Science Proceedings of the 15th IFToMM World Congress on Mechanism and Machine Science /

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Deep Learning : Foundations and Concepts. Yazar: Bishop, Christopher M.

İçindekiler: “…A Tutorial Example -- 1.2.1 Synthetic data -- 1.2.2 Linear models -- 1.2.3 Error function -- 1.2.4 Model complexity -- 1.2.5 Regularization -- 1.2.6 Model selection -- 1.3. A Brief History of Machine Learning -- 1.3.1 Single-layer networks -- 1.3.2 Backpropagation -- 1.3.3 Deep networks -- 2 Probabilities -- 2.1. …”
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Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization / Yazar: Sotiropoulos, Dionisios N., Tsihrintzis, George A.

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Machine Learning Paradigms Advances in Data Analytics /

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Machines, Mechanism and Robotics Proceedings of iNaCoMM 2017 /

İçindekiler: “…Dynamics of Machinery -- Chapter 8. History and Future trends.…”
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A Brief History of Mechanical Engineering Yazar: Dixit, Uday Shanker, Hazarika, Manjuri, Davim, J. Paulo

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Evolution of Metal Casting Technologies A Historical Perspective / Yazar: Khan, Muhammad Azhar Ali, Sheikh, Anwar Khalil, Al-Shaer, Bilal Suleiman

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Reverse Hypothesis Machine Learning A Practitioner's Perspective / Yazar: Kulkarni, Parag

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Ancient Engineers' Inventions Precursors of the Present / Yazar: Rossi, Cesare, Russo, Flavio

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Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples. Yazar: Mas�is, Serg

İçindekiler: “…-- A business case for interpretability -- Better decisions -- More trusted brands -- More ethical -- More profitable -- Summary -- Image sources -- Dataset sources -- Further reading -- Chapter 2: Key Concepts of Interpretability -- Technical requirements -- The mission -- Details about CVD -- The approach -- Preparations -- Loading the libraries -- Understanding and preparing the data -- The data dictionary -- Data preparation -- Interpretation method types and scopes -- Model interpretability method types -- Model interpretability scopes -- Interpreting individual predictions with logistic regression -- Appreciating what hinders machine learning interpretability -- Non-linearity -- Interactivity -- Non-monotonicity -- Mission accomplished -- Summary -- Further reading -- Chapter 3: Interpretation Challenges -- Technical requirements -- The mission -- The approach -- The preparations -- Loading the libraries -- Understanding and preparing the data -- The data dictionary -- Data preparation -- Reviewing traditional model interpretation methods -- Predicting minutes delayed with various regression methods -- Classifying flights as delayed or not delayed with various classification methods -- Training and evaluating the classification models.…”
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Machine Learning for Evolution Strategies Yazar: Kramer, Oliver

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Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples / Yazar: Masis, Serg, Molak, Aleksander, Rothman, Denis

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