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181
Rediscovering mathematics : you do the math
Published 2011Full text (MFA users only)
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182
Destructive sublime : World War II in American film and media
Published 2018Full text (MFA users only)
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183
Debates in the digital humanities 2016
Published 2016Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition.
Published 2018Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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186
Numerical Methods for Eigenvalue Problems.
Published 2012Full text (MFA users only)
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Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients
Published 2013Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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189
Computational ecology : artificial neural networks and their applications
Published 2010Full text (MFA users only)
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191
Blockchain and the Digital Economy : The Socio-Economic Impact of Blockchain Technology.
Published 2020Full text (MFA users only)
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192
Principles of artificial neural networks
Published 2013Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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193
MODELING AND SIMULATION OF LOGISTICS FLOWS : theory and fundamentals.
Published 2017Full text (MFA users only)
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194
Introduction to Stochastic Processes with R.
Published 2016Table of Contents: “…B.3 CONTINUOUS RANDOM VARIABLES -- B.4 COMMON PROBABILITY DISTRIBUTIONS -- B.5 LIMIT THEOREMS -- B.6 MOMENT-GENERATING FUNCTIONS -- APPENDIX C: SUMMARY OF COMMON PROBABILITY DISTRIBUTIONS -- APPENDIX D: MATRIX ALGEBRA REVIEW -- D.1 BASIC OPERATIONS -- D.2 LINEAR SYSTEM -- D.3 MATRIX MULTIPLICATION -- D.4 DIAGONAL, IDENTITY MATRIX, POLYNOMIALS -- D.5 TRANSPOSE -- D.6 INVERTIBILITY -- D.7 BLOCK MATRICES -- D.8 LINEAR INDEPENDENCE AND SPAN -- D.9 BASIS -- D.10 VECTOR LENGTH -- D.11 ORTHOGONALITY -- D.12 EIGENVALUE, EIGENVECTOR -- D.13 DIAGONALIZATION -- ANSWERS TO SELECTED ODD-NUMBERED EXERCISES…”
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195
Clinical simulation : operations, engineering and management
Published 2008Table of Contents: “…; 3.5 The Systems Approach to Training; 3.6 Defining the Performance Requirement; 3.7 Cost Versus Value Added; 3.8 Operations Cost; 3.9 Standardization: What is it, and who Wants it?; 3.10 Patients as Training Conditions; 3.11 Equipment as Training Conditions; 3.12 Increase in Training System Cost; 3.13 You as the Leader-Manager; 3.14 Conclusion; Endnotes; Topic II What's In It For Me.…”
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Principles of Quantum Computation and Information, Volume I : Basic Concepts.
Published 2004Full text (MFA users only)
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