Tabla de Contenidos: “…Chapter 2: Let's Help Machines LearnUnderstanding machine learning; Algorithms in machine learning; Perceptron; Families of algorithms; Supervised learning algorithms; Linear regression; K-Nearest Neighbors (KNN); Unsupervised learning algorithms; Apriori algorithm; K-Means; Summary; Chapter 3: Predicting Customer Shopping Trends with Market Basket Analysis; Detecting and predicting trends; Market basket analysis; What does market basket analysis actually mean?…”

Tabla de Contenidos: “…Installing jQueryExplaining the code; Going deeper; The load() method; The keyup() and keydown() methods; The change() method; The blur() and focus() methods; The resize() method; The scroll() method; Summary; Chapter 7: Introducing the Canvas; Implementing canvas; Adding JavaScript; Drawing a rectangle; Drawing a line; A quick exercise; Drawing a circle; Draw linear gradient; A quick exercise; Let's make a clock!…”

Tabla de Contenidos: “…; Weiterführendes Material; Kapitel 3 - Daten visualisieren; matplotlib; Balkendiagramme; Liniendiagramme; Scatterplots; Weiterführendes Material; Kapitel 4 - Lineare Algebra; Vektoren; Matrizen; Weiterführendes Material; Kapitel 5 - Statistik…”

Tabla de Contenidos: “…Introduction to the MNIST dataset -- Building classification models using MNIST dataset -- Elements of the DNN model -- Building the DNN -- Reading the data -- Defining the architecture -- Placeholders for inputs and labels -- Building the neural network -- The loss function -- Defining optimizer and training operations -- Training strategy and valuation of accuracy of the classification -- Running the computational graph -- Regression with Deep Neural Networks (DNN) -- Elements of the DNN model -- Building the DNN -- Reading the data -- Objects for modeling -- Training strategy -- Input pipeline for the DNN -- Defining the architecture -- Placeholders for input values and labels -- Building the DNN -- The loss function -- Defining optimizer and training operations -- Running the computational graph -- Classification with DNNs -- Exponential linear unit activation function -- Classification with DNNs -- Elements of the DNN model -- Building the DNN -- Reading the data -- Producing the objects for modeling -- Training strategy -- Input pipeline for DNN -- Defining the architecture -- Placeholders for inputs and labels -- Building the neural network -- The loss function -- Evaluation nodes -- Optimizer and the training operation -- Run the computational graph -- Evaluating the model with a set threshold -- Summary -- Other Books You May Enjoy -- Leave a review - let other readers know what you think -- Index…”

Tabla de Contenidos: “…Cover -- Contents -- Preface -- Chapter 1: Database System -- Multiple-choice Questions -- Answers -- Chapter 2: Conceptual Modeling -- Mapping cardinalities -- Participation constraint -- Entity types versus attributes -- Binary versus ternary relationship -- Structural diagrams -- Behavioural diagrams -- Multiple-choice Questions -- Answers -- Chapter 3: Relational Model -- Domain integrity -- Entity integrity -- Referential integrity -- Semantic integrity -- Insert operation -- Delete operation -- Update operation -- Representation of weak entity types -- Representation of composite and multivalued attributes -- Representation of generalization -- Representation of aggregation -- Multiple-choice Questions -- Answers -- Chapter 4: Relational Algebra and Calculus -- Queries in relational algebra -- Queries in tuple calculus -- Queries in domain relational calculus -- Expression in relational algebra -- Expression in tuple calculus -- Expression in domain calculus -- Queries in relational algebra -- Queries in tuple calculus -- Queries in domain calculus -- Multiple-choice Questions -- Answers -- Chapter 5: Structured Query Language -- Adding an attribute -- Modifying an attribute -- Dropping an attribute -- Adding a constraint -- Dropping a constraint -- Renaming an attribute -- Renaming a relation -- Multiple-choice Questions -- Answers -- Chapter 6: Relational Database Design -- Multiple-choice Questions -- Answers -- Chapter 7: Data Storage and Indexing -- Primary storage -- Secondary storage -- Tertiary storage -- Fixed-length records -- Variable-length Records -- Advantages -- Disadvantages -- Extendible hashing -- Linear hashing -- Types of single-level indexes -- Partitioned hashing -- Grid files -- Multiple-choice Questions -- Answers -- Chapter 8: Query Processing and Optimization -- Cost analysis -- Cost analysis…”

Tabla de Contenidos: “…Part II: Statistical and Machine Learning Algorithms Chapter 6: Introduction to Statistical and Machine Learning Algorithms; Regression Algorithms; Linear Regression ; Neural Networks ; Decision Trees ; Boosted Decision Trees; Classification Algorithms ; Support Vector Machines ; Bayes Point Machines ; Clustering Algorithms ; Summary; Part III: Practical Applications ; Chapter 7: Building Customer Propensity Models; The Business Problem ; Data Acquisition and Preparation ; Data Analysis; More Data Treatment; Feature Selection; Training the Model; Model Testing and Validation…”

Tabla de Contenidos: “…Removing a .git directory""; ""Problem""; ""Solution""; ""How It Works""; ""Summary""; ""Chapter 3: Creating Local Repositories with Linear History""; ""3-1. Creating your first repository""; ""Problem""; ""Solution""; ""How It Works""; ""3-2. …”

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Tabla de Contenidos: “…7.2 The fundamental theorem of calculus and its analog for line integrals7.3 Cap independence; 7.4 Green's and Stokes's theorems; 7.5 Gauss's theorem; 7.6 Proof of the GST; 7.7 The converse of the GST; 7.8 Exercises; 8 de Rham Cohomology; 8.1 Linear and homological algebra constructions; 8.2 Definition and basic properties; 8.3 Computations of cohomology groups; 8.4 Cohomology with compact supports; 8.5 Exercises; Index; A; B; C; D; E; F; G; H; I; L; M; N; O; P; R; S; T; V; W…”

Tabla de Contenidos: “…4.1 Introduction4.2 Steady-state Operating Characteristics; 4.3 Concept of Power Sharing; 4.4 Power Sharing in MTDC Grid; 4.5 AC-MTDC Grid Load flow Solution; 4.6 Post-contingency Operation; 4.7 Linear Model; 4.8 Case Study; Chapter 5: Frequency Support; 5.1 Introduction; 5.2 Fundamentals of Frequency Control; 5.3 Inertial and Primary Frequency Support from Wind Farms; 5.4 Wind Farms in Secondary Frequency Control (AGC); 5.5 Modified Droop Control for Frequency Support; 5.6 AC-MTDC Load Flow Solution; 5.7 Post-Contingency Operation; 5.8 Case Study; Chapter 6: Protection of MTDC Grids…”

Tabla de Contenidos: “…ScatterplotsFurther reading; Summary; Chapter 4: Advanced Plotting Techniques; Adding statistics; Smooth lines; Linear regression; Statistics with faceting; Advanced aesthetic mapping; Typical aesthetic mappings available in ggplot2; Mapping the aesthetic to new stat variables; Difference in mapping continuous and categorical variables; Adding text and reference lines to plots; Add text and reference lines with facets; Plots with polar coordinates; A pie chart; A bullseye chart; A coxcomb diagram; Further reading; Summary; Chapter 5: Controlling Plot Details; Exploring scales…”

Tabla de Contenidos: “…Enabling command and control using steganographyChapter 7: Encryption and Encoding; Introduction; Generating an MD5 hash; Generating an SHA 1/128/256 hash; Implementing SHA and MD5 hashes together; Implementing SHA in a real-world scenario; Generating a Bcrypt hash; Cracking an MD5 hash; Encoding with Base64; Encoding with ROT13; Cracking a substitution cipher; Cracking the Atbash cipher; Attacking one-time pad reuse; Predicting a linear congruential generator ; Identifying hashes; Chapter 8: Payloads and Shells; Introduction; Extracting data through HTTP requests; Creating an HTTP C2…”

Tabla de Contenidos: “…Part I Mathematics and Statistics for Financial Risk Management: Some Basic MathPart II Mathematics and Statistics for Financial Risk Management: Probabilities; Part III Mathematics and Statistics for Financial Risk Management: Basic Statistics; Part IV Mathematics and Statistics for Financial Risk Management: Distributions; Part V Mathematics and Statistics for Financial Risk Management: Hypothesis Testing and Confidence Intervals; Part VI Mathematics and Statistics for Financial Risk Management: Linear Regression Analysis…”

Tabla de Contenidos: “…About the Editor vii -- Preface to "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes" ix -- Special Issue on "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes" 1 -- Real-Time Parameter Identification for Forging Machine Using Reinforcement Learning 7 -- A Simple and Effective Modeling Method for 3D Porous Irregular Structures 27 -- Modelling Method and Application of Anti-Corrosion Pill Particles in Oil and Gas Field Wellbore Casing Annulus Based on the Discrete Element Method 39 -- Identification and Analysis of Factors Influencing Green Growth of Manufacturing Enterprises Based on DEMATEL Method-Wooden Flooring Manufacturing Companies as a Case 53 -- T-S Fuzzy Model-Based Fault Detection for Continuous Stirring Tank Reactor 65 -- TLSCA-SVM Fault Diagnosis Optimization Method Based on Transfer Learning 81 -- Data-Driven State Prediction and Sensor Fault Diagnosis for Multi-Agent Systems with Application to a Twin Rotational Inverted Pendulum 113 -- Dynamically Triggering Resilient Control for Networked Nonlinear Systems under Malicious Aperiodic DoS Attacks 129 -- Tracking Control of a Hyperchaotic Complex System and Its Fractional-Order Generalization 145 -- Performance Improvement of H8 Transformerless Grid-Tied Inverter Using Model Predictive Control Considering a Weak Grid 159 -- An Effective Temperature Control Method for Dividing-Wall Distillation Columns 175 -- Linear Golden Section Speed Adaptive Control of Permanent Magnet Synchronous Motor Based on Model Design 193 -- Analysis and Design of a Standalone Electric Vehicle Charging Station Supplied by Photovoltaic Energy 209 -- Performance Optimization of a Steam Generator Level Control System via a Revised Simplex Search-Based Data-Driven Optimization Methodology 225 -- Remote Wind Farm Path Planning for Patrol Robot Based on the Hybrid Optimization Algorithm 247 -- Material Removal Optimization Strategy of 3D Block Cutting Based on Geometric Computation Method 269 -- Successful Pass Schedule Design in Open-Die Forging Using Double Deep Q-Learning 287 -- Optimization of the Sustainable Distribution Supply Chain Using the Lean Value Stream Mapping 4.0 Tool: A Case Study of the Automotive Wiring Industry 319 -- A Real-Time Optimization Strategy for Small-Scale Facilities and Implementation in a Gas Processing Unit 339 -- The Effect of Changes in Settings from Multiple Filling Points to a Single Filling Point of an Industry 4.0-Based Yogurt Filling Machine 369 -- Dynamic Cooperation of the 020 Supply Chain Based on Time Delays and Bidirectional Free-Riding 391 -- Music Generation System for Adversarial Training Based on Deep Learning 413.…”

Tabla de Contenidos: “…(Lemon Myrtle), an Unrivalled Source of Citral Reprinted from: Foods 2021, 10, 1596, doi:10.3390/foods10071596 . 25 -- Marzia Pucci, Stefania Raimondo, Chiara Zichittella, Vincenza Tinnirello, Valeria Corleone, Gioacchino Aiello, Marta Moschetti, Alice Conigliaro, Simona Fontana and Riccardo Alessandro Biological Properties of a Citral-Enriched Fraction of Citrus limon Essential Oil Reprinted from: Foods 2020, 9, 1290, doi:10.3390/foods9091290 39 -- Adriana Arig `o, Francesca Rigano, Marina Russo, Emanuela Trovato, Paola Dugo and Luigi Mondello Dietary Intake of Coumarins and Furocoumarins through Citrus Beverages: A Detailed Estimation by a HPLC-MS/MS Method Combined with the Linear Retention Index System Reprinted from: Foods 2021, 10, 1533, doi:10.3390/foods10071533 . 55 -- Stefania Garzoli, Valentina Laghezza Masci, Sara Franceschi, Antonio Tiezzi, Pierluigi Giacomello and Elisa Ovidi Headspace/GC-MS Analysis and Investigation of Antibacterial, Antioxidant and Cytotoxic Activity of Essential Oils and Hydrolates from Rosmarinus officinalis L. and Lavandula angustifolia Miller Reprinted from: Foods 2021, 10, 1768, doi:10.3390/ foods10081768 71 -- Efstathia Papada, Aristea Gioxari, Charalampia Amerikanou, Nikolaos Galanis and Andriana C. …”

Tabla de Contenidos: “…History of Known AttacksKernel: Wunderbar/asroot; Recovery: Volez; Udev: Exploid; Adbd: RageAgainstTheCage; Zygote: Zimperlich and Zysploit; Ashmem: KillingInTheNameOf and psneuter; Vold: GingerBreak; PowerVR: levitator; Libsysutils: zergRush; Kernel: mempodroid; File Permission and Symbolic Link-Related Attacks; Adb Restore Race Condition; Exynos4: exynos-abuse; Diag: lit / diaggetroot; Summary; Chapter 4 Reviewing Application Security; Common Issues; App Permission Issues; Insecure Transmission of Sensitive Data; Insecure Data Storage; Information Leakage Through Logs…”

Tabla de Contenidos: “…Adjacency matrix -- 8.3. Playing with linear recurrences -- 8.4. Interpretation of the coefficients -- 8.5. …”

Tabla de Contenidos: “…; Appendix C Bit Depth; Appendix D Exposure and the Digital Linear Effect; Appendix E Films, Developers, and Processing; Appendix F The Practical Zone System Film/Developer Testing Method; Appendix G Film and Developer Commentary by Iris Davis…”

Tabla de Contenidos: “…Using a Decision Tree to classify credit risksUsing Rattle to score new loan applications; Creating a Qlik Sense application to predict credit risks; Ensemble classifiers; Boosting; Random Forest; Supported Vector Machines; Other models; Linear and Logistic Regression; Neural Networks; Further learning; Summary; Chapter 7: Model Evaluation; Cross-validation; Regression performance; Predicted versus Observed Plot; Measuring the performance of classifiers; Confusion matrix, accuracy, sensitivity, and specificity; Risk Chart; ROC Curve; Further learning; Summary…”

Tabla de Contenidos: “…; Fast and Wide Video Drives; Going Turnkey; Saving Your Work; Safety Tips; 5 The Home Video Editing Challenge; Linear versus Nonlinear Editing; Selecting Nonlinear Editing Software; Batch Capture and VCR Control; Compression and Resolution; Tracks and Layers; The Character Generator…”