Search Results - (((((((anti OR wpanting) OR span) OR wantis) OR cantor) OR anne) OR carter) OR wanting) algorithms.

Finite-Dimensional Linear Algebra. by Gockenbach, Mark S.

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Rediscovering mathematics : you do the math by Simonson, Shai

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Destructive sublime : World War II in American film and media by Allison, Tanine, 1979-

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Debates in the digital humanities 2016

Table 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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Trends in Functional Programming. by Nilsson, Henrik

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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table 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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Numerical Methods for Eigenvalue Problems. by Börm, Steffen

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Learning OpenCV 3 Application Development. by Datta, Samyak

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OpenCV with Python by example : build real-world computer vision applications and develop cool demos using OpenCV for Python by Joshi, Prateek

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Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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Computational ecology : artificial neural networks and their applications by Zhang, Wenjun

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Digital Signal Processing and Applications. by Stranneby, Dag

Table of Contents: “…2.3.5 Integrating analog-to-digital converters2.3.6 Dither; 2.3.7 Sigma-delta analog-to-digital converters; Summary; Review questions; Solved problems; 3 Adaptive digital systems; Background; Objectives; 3.1 Introduction; 3.1.1 System structure; 3.2 The processor and the performance function; 3.2.1 The adaptive linear combiner; 3.2.2 The performance function; 3.3 Adaptation algorithms; 3.3.1 The method of steepest descent; 3.3.2 Newton's method; 3.3.3 The least mean square algorithm; 3.4 Applications; 3.4.1 Adaptive interference canceling; 3.4.2 Equalizers; 3.4.3 Adaptive beamforming; Summary…”
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Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming by Tigeraniya, Arun

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Pharmacology in anesthesia practice

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Computer Relaying for Power Systems. by Phadke, Arun G.

Table of Contents: “…1.5.2 Delta-sigma ADC -- 1.6 Anti-aliasing filters -- 1.7 Substation computer hierarchy -- 1.8 Summary -- Problems -- References -- 2 Relaying practices -- 2.1 Introduction to protection systems -- 2.2 Functions of a protection system -- 2.3 Protection of transmission lines -- 2.3.1 Overcurrent relays -- 2.3.2 Directional relays -- 2.3.3 Distance relays -- 2.3.4 Phasor diagrams and R-X diagrams -- 2.3.5 Pilot relaying -- 2.4 Transformer, reactor and generator protection -- 2.4.1 Transformer protection -- 2.4.2 Reactor protection -- 2.4.3 Generator protection -- 2.5 Bus protection…”
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Principles of artificial neural networks by Graupe, Daniel

Table 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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MODELING AND SIMULATION OF LOGISTICS FLOWS : theory and fundamentals. by REVEILLAC, JEAN-MICHEL

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Introduction to Stochastic Processes with R. by Dobrow, Robert P.

Table 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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AI and human thought and emotion by Freed, Sam (Philosophy professor)

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OpenCV Android Programming By Example. by Muhammad, Amgad

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