Materias: “…MATLAB (Archivo de ordenador)…”

Materias: “…Matlab (Programes d'ordinador)…”

Materias: Enlace del recurso

Materias: “…MATLAB (Programa de ordenador)…”

Materias:

Materias:

Materias: “…Matlab (Programes d'ordinador)…”

Materias: “…Matlab (Programes d'ordinador)…”

“…Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. …”

Materias: “…MATLAB…”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Chapter 1: Getting Started in Cryptography and Cryptanalysis -- Cryptography and Cryptanalysis -- Book Structure -- Conclusion -- References -- Chapter 2: MATLAB Cryptography Functions -- Conclusion -- References -- Chapter 3: Conversions Used in MATLAB for Cryptography -- Conclusion -- References -- Chapter 4: Basic Arithmetic Foundations -- Euclid's Division Lemma -- Greatest Common Divisor (gcd) -- Euclid's Algorithm -- The Extended Euclidean Algorithm -- Practical Implementations -- The Extended Euclidean Algorithm -- Prime Factors in MATLAB -- Computing the Modular Inverse -- Conclusion -- References -- Chapter 5: Number Theory -- Primality and Factorization -- Prime Numbers -- The Prime Number Theorem -- Congruency -- Inverse -- Chinese Remainder Theorem -- Primality Tests -- The Wilson Primality Test -- The Little Fermat Primality Test -- The Miller-Rabin Primality Test -- Algebraic Structures -- Conclusion -- References -- Chapter 6: Classic Cryptography -- Symmetric Cryptography -- Classic Ciphers -- The Caesar Cipher -- Example -- Mathematical Background -- Cryptanalysis -- Implementing the Caesar Cipher -- The Vigenère Cipher -- Example -- Mathematical Background -- Implementing the Vigenère Cipher -- The Hill Cipher -- Example -- Cryptanalysis -- Implementing the Hill Cipher -- Conclusion -- References -- Chapter 7: Pseudo-Random Number Generators -- Simple PRNGs -- Linear Congruential Generators -- Ranrot Generators -- Blum-Blum-Shub Generator -- Linear Circuit PRNGs -- Other PRNGs -- Practical Implementations -- Conclusion -- References -- Chapter 8: Hash Functions -- Security of Hash Functions -- Cryptographic Hash Functions -- Birthday Attack -- MD4 Function -- MD4 Function Description -- Cryptanalysis of MD4 -- MD5 Function -- SHA1 Function…”

Tabla de Contenidos: “…1 Introduction 2 Installation 3 Language Basics 4 Data Containers 5 Dates and Times 6 Call Python Functions from MATLAB 7 Input and Output 8 Interacting with the File System 9 Interacting with the Operating System and External Executables 10 Object Oriented Programming 11 NumPy and SciPy 12 Plotting 13 Tables and Dataframes 14 High Performance Computing 15 Language Pitfalls Appendix A MATLAB/Python Recipe Index Appendix B Generating Sample Data with Faker Appendix C Finite Element Source Listing Appendix D Python-to-MATLAB and MATLAB-to-Python Variable Converters Appendix E A Utility to Patch Cartopy to Use Requests…”

Tabla de Contenidos: “…Front Cover; GPU Programming in MATLAB; Copyright; Dedication; Contents; About the Authors; Foreword; Preface; Chapter 1: Introduction; 1.1 Parallel programming; 1.1.1 Introduction to Parallel Computing; 1.1.2 Classification of Parallel Computers; 1.1.3 Parallel Computers' Memory Architectures; 1.2 GPU programming; 1.3 CUDA architecture; 1.4 Why GPU programming in MATLAB? …”

Tabla de Contenidos: “…1 Overview of Machine Learning -- 2 The History of Machine Learning -- 3 Software for machine learning -- 4 Representation of data for Machine Learning in MATLAB -- 5 MATLAB Graphics -- 6 Machine Learning Examples in MATLAB -- 7 Face Recognition with Deep Learning -- 8 Data Classification -- 9 Classification of Numbers Using Neural Networks -- 10 Kalman Filters -- 11 Adaptive Control -- 12 Autonomous Driving -- Bibliography…”

Tabla de Contenidos: “…""Contents at a Glance""; ""Contents""; ""About the Author""; ""About the Technical Reviewer""; ""Introduction""; ""Chapter 1: MATLAB Introduction and Working Environment""; ""Introduction to Working with MATLAB""; ""Numerical Calculations with MATLAB""; ""Symbolic Calculations with MATLAB""; ""Graphics with MATLAB""; ""MATLAB and Programming""; ""Chapter 2: Numbers, Operators, Variables and Functions""; ""Numbers""; ""Integers and Integer Variable Functions""; ""Real Numbers and Functions of Real Variables""; ""Trigonometric Functions""; ""Hyperbolic Functions""…”

Tabla de Contenidos: “…""Contents at a Glance""; ""Contents""; ""About the Author""; ""About the Technical Reviewer""; ""Introduction""; ""Chapter 1: MATLAB Introduction and the Working Environment""; ""1.1 MATLAB Introduction""; ""1.1.1 Algorithms and Applications Development""; ""1.1.2 Data Access and Analysis""; ""1.1.3 Data Visualization""; ""1.1.4 Numeric Calculation""; ""1.1.5 Results Publication and Applications Distribution""; ""1.2 MATLAB Working Environment""; ""1.3 Help in MATLAB""; ""1.4 Numerical Calculations with MATLAB""; ""1.5 Symbolic Calculations with MATLAB""; ""1.6 Graphics with MATLAB""…”

Tabla de Contenidos: “…""6.11 Functions of Several Variables""""6.12 Piecewise Functions""; ""6.13 Functional Operations""; ""Chapter 7: Programming and Numerical Analysis""; ""7.1 MATLAB and Programming""; ""7.2 The Text Editor""; ""7.3 Scripts""; ""7.4 Functions and M-files. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1: Getting Started with Matlab -- Chapter 1: Exploring MATLAB for Machine Learning -- Technical requirements -- Introducing ML -- How to define ML -- Analysis of logical reasoning -- Learning strategy typologies -- Discovering the different types of learning processes -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Semi-supervised learning -- Transfer learning -- Using ML techniques -- Selecting the ML paradigm -- Step-by-step guide on how to build ML models -- Exploring MATLAB toolboxes for ML -- Statistics and Machine Learning Toolbox -- Deep Learning Toolbox -- Reinforcement Learning Toolbox -- Computer Vision Toolbox -- Text Analytics Toolbox -- ML applications in real life -- Summary -- Chapter 2: Working with Data in MATLAB -- Technical requirements -- Importing data into MATLAB -- Exploring the Import Tool -- Using the load() function to import files -- Reading ASCII-delimited files -- Exporting data from MATLAB -- Working with different types of data -- Working with images -- Audio data handling -- Exploring data wrangling -- Introducing data cleaning -- Discovering exploratory statistics -- EDA -- EDA in practice -- Introducing exploratory visualization -- Understanding advanced data preprocessing techniques in MATLAB -- Data normalization for feature scaling -- Introducing correlation analysis in MATLAB -- Summary -- Part 2: Understanding Machine Learning Algorithms in MATLAB -- Chapter 3: Prediction Using Classification and Regression -- Technical requirements -- Introducing classification methods using MATLAB -- Decision trees for decision-making -- Exploring decision trees in MATLAB -- Building an effective and accurate classifier -- SVMs explained -- Supervised classification using SVM…”

Tabla de Contenidos: “…Machine generated contents note: Chapter 1: Getting Started Chapter 2: Strings and Vectors Chapter 3: Plotting Chapter 4: Matrices Chapter 5: Control Flow Commands Chapter 6: Animation Chapter 7: Writing Your Own MATLAB Functions Chapter 8: More MATLAB Data Classes and Structures Chapter 9: Building a Graphical User Interface Chapter 10: Transferring a MATLAB Program into a GUI Tool Chapter 11: GUI Components Chapter 12: More GUI Techniques Chapter 13: More Graphics Chapter 14: More Mathematics …”

Materias: “…MATLAB…”