Tabla de Contenidos: “…11.3.3 Prediction of Nifty score -- 11.3.3.1 Linear regression -- 11.3.3.2 Polynomial regression -- 11.3.3.3 Random forest -- 11.3.3.4 Gradient boost regressor -- 11.4 Results and experimental framework -- 11.4.1 Linear regression -- 11.4.2 Polynomial regression with degree 3 -- 11.4.3 Random forest regression -- 11.4.4 Gradient boost regressor -- 11.5 Conclusion -- References -- Further reading -- 12 Impact of COVID-19: a particular focus on Indian education system -- 12.1 Introduction -- 12.2 Impact of COVID-19 on education -- 12.2.1 Effect of home confinement on children and teachers -- 12.2.2 A multidimensional impact of uncertainty -- 12.3 Sustaining the education industry during COVID-19 -- 12.4 Conclusion -- References -- 13 Designing of Latent Dirichlet Allocation Based Prediction Model to Detect Midlife Crisis of Losing Jobs due to Prolonged... -- 13.1 Introduction -- 13.2 Literature survey -- 13.3 Methodology -- 13.3.1 Distinguishing midlife crisis symptoms -- 13.3.2 Designing of the prediction model -- 13.3.3 Application of LDA and statistical comparison -- 13.3.3.1 Formulation of Dirichlet distribution -- 13.3.3.2 Categorization in Bayesian model -- 13.3.3.3 Concept of topic modeling -- 13.4 Result and discussion -- 13.5 Conclusion and future scope -- References -- 14 Autonomous robotic system for ultraviolet disinfection -- 14.1 Introduction -- 14.2 Background -- 14.2.1 Ultraviolet light for disinfection -- 14.2.2 Exposure time for deactivation of the bacteria -- 14.2.3 Flow chart of UV bot control logic -- 14.2.4 Calculations related to the time for disinfection -- 14.3 Implementation -- 14.4 Model topology -- 14.4.1 UV-C light robotic vehicle -- 14.5 Conclusion -- References -- 15 Emerging health start-ups for economic feasibility: opportunities during COVID-19 -- 15.1 Introduction -- 15.2 Health-tech verticals for start-ups…”

Tabla de Contenidos: “…13.3.3 Deletion -- 13.3.4 Drawbacks of m-Way Search Trees -- 13.4 B Trees -- 13.5 Operations on B Trees -- 13.5.1 Searching -- 13.5.2 Insertion -- 13.5.3 Deletion -- 13.6 Height of B Trees -- 13.7 Variations of B Tree -- 13.7.1 B* Tree -- 13.7.2 B+ Tree -- 13.8 Applications -- 13.8.1 Databases -- Summary -- Exercises -- Chapter 14 Red-Black Trees and Splay Trees -- 14.1 Introduction -- 14.2 Representation of a Red-Black Tree -- 14.3 Operations -- 14.3.1 Searching -- 14.3.2 Insertion -- 14.3.3 Deletion -- 14.4 Splay Trees -- 14.4.1 Splay Rotations -- 14.4.2 Amortized Analysis -- 14.5 Applications -- Summary -- Exercises -- Chapter 15 Pattern Matching and Tries -- 15.1 Introduction -- 15.2 Terminology -- 15.3 Pattern Matching Algorithms -- 15.3.1 Fixed Pattern Matching Algorithms -- 15.3.2 Regular Expression Pattern Matching -- 15.4 Fixed Pattern Matching Algorithms -- 15.4.1 Brute Force Pattern Matching Algorithm -- 15.4.2 Th e Boyer-Moore Algorithm -- 15.4.3 Knuth-Morris-Pratt Algorithm (KMP) -- 15.5 Applications of Pattern Matching Algorithms -- 15.6 Tries -- 15.6.1 Standard Tries -- 15.6.2 Compressed Tries -- 15.6.3 Suffix Tries -- 15.7 Applications of Tries -- Summary -- Exercises -- Chapter 16 Sorting and Searching -- 16.1 Sorting -- 16.1.1 Bubble Sort -- 16.1.2 Insertion Sort -- 16.1.3 Selection Sort -- 16.1.4 Quick Sort -- 16.1.5 Merge Sort -- 16.1.6 Shell Sort -- 16.1.7 Radix Sort -- 16.1.8 Heap Sort -- 16.2 Searching -- 16.2.1 Linear Search or Sequential Search -- 16.2.2 Binary Search -- 16.2.3 Fibonacci Search -- Summary -- Exercises -- Index…”

Tabla de Contenidos: “…3.3.1.7 Different statistical method -- 3.3.1.7.1 Central tendency -- Mean -- Why do not use the mean -- Median -- Mode -- Variance and standard deviation -- Z-score -- Quartiles -- Percentile -- 3.4 Measurement and scaling concepts -- 3.4.1 Comparative scales -- 3.4.1.1 Paired comparison scale -- 3.4.1.2 Rank order scale -- 3.4.1.3 Constant sum scale -- 3.4.1.4 Q-sort scale -- 3.4.2 Non-comparative scales -- 3.4.2.1 Continuous rating scale -- 3.4.2.2 Itemized rating scale -- 3.4.2.2.1 Likert scale -- 3.4.2.2.2 Stapel scale -- 3.4.2.2.3 Semantic differential scale -- 3.5 Various types of scale -- 3.5.1 Nominal -- 3.5.2 Ordinal -- 3.5.3 Interval -- 3.5.4 Ratio -- 3.6 Primary data analysis with Python -- 3.7 Conclusion -- 3.8 Case study -- 3.8.1 Case study: taxonomy of data in a healthcare organization -- 3.8.2 Case study: taxonomy of data in the automobile industry -- 3.8.3 Case study on the data theory -- 3.9 Exercise -- 3.9.1 Objective type question -- 3.9.2 Descriptive type question -- Further reading -- 4 Multivariate data analytics and cognitive analytics -- Abbreviations -- 4.1 Introduction -- 4.2 Factor analytics -- 4.3 Principal component analytics -- 4.4 Cluster analytics -- 4.4.1 K-means -- 4.4.1.1 Algorithms -- 4.4.1.2 K-means clustering -- 4.1.2.1 Steps of the K-means clustering algorithm -- 4.1.2.2 Practice problems based on K-means clustering algorithm -- 4.4.2 Cluster analysis of driverless car dataset -- 4.4.2.1 Problem -- 4.5 Linear regression analysis -- 4.5.1 Mathematical expression for regression analysis -- 4.5.2 Solved example of linear regression analysis of driverless car -- 4.5.2.1 Problem -- 4.5.2.2 Solution -- 4.6 Logistic regression analysis -- 4.7 Application of analytics across value chain -- 4.8 Multivariate data analytics with Python -- 4.9 Conclusion -- 4.10 Case study…”

Tabla de Contenidos: “…-- El cumpleaños de la muerte la eternidad lo desea -- Rival de mi sexenio: la austeridad del gasto -- Miénteme más, que me hace tu maldad feliz -- Fúlgida luna, dime que es injusto que el amor me ignore -- Gózala mientras viva, que muerta ya es delito -- Dicen que el estriptis es la forma más pura de la fenomenología -- Desde que se inventaron las estatuas se acabó el heroísmo individual -- La intuición es el matrimonio de los "encantos ocultos" con la "simple vista" -- La paranoia es un sexto sentido que nos libera de cualquier sensación de insignificancia -- Despierta, mi bien, despierta, mira quién se aculturó, ya los diccionarios cantan, la prosa no se midió -- Casta es aquella idea que evitamos que manche el pensamiento -- Prisa histórica es querer ficha en el diccionario con sólo tres años de diputado…”

Tabla de Contenidos: “…-- Procesos y estructuras cerebrales vinculados al estrés -- Un sistema de alarma natural: la función arousal -- Principales consecuencias del estrés para el cerebro -- Estrategias para liberar al cerebro y al cuerpo de los efectos dañinos del estrés -- Primer paso: descubra sus estresores -- ¿Qué lo estresa a usted? …”

Tabla de Contenidos: “…. -- Jiao Lian y el secreto milenario del coaching -- Desafío n° 10. Cómo liberar tu potencial cuando la vida te asfixia -- Para que tenga mérito tengo que hacerlo yo solo -- El grupo de los cuarenta -- ¡Otra vez los cuarenta! …”

Tabla de Contenidos: “…-- 6 Comparing the Humanities, History and the Social Sciences -- 7 Conclusion -- References -- Humanities Scholars' Conceptions of Research Quality -- 1 Introduction -- 2 Framework -- 2.1 The Four Main Reservations About Tools and Procedures for Research Evaluation -- 2.2 The Four Pillars of Our Framework to Develop Sustainable Quality Criteria -- 2.3 The Implementation of the Framework: The Design of the Project `Developing and Testing Quality Criteria for Research in the Humanities' -- 3 Notions of Quality: The Repertory Grid Interviews -- 4 Consensual Quality Criteria: The Delphi Survey -- 5 Discussion: Notions of Quality at the Base of Assessment -- 6 Conclusion -- References…”

Tabla de Contenidos: “…-- No single point of failure -- Tunable consistency -- Data center awareness -- Linear scalability -- Built on the JVM -- Appropriate use cases for Cassandra -- Overview of the internals -- Data modeling in Cassandra -- Partition keys -- Clustering keys -- Putting it all together -- Optimal use cases…”

Tabla de Contenidos: “…Setting the margin with plt.tight_layout() -- Aligning subplots of different dimensions with plt.subplot2grid() -- Drawing inset plots with fig.add_axes() -- Adjusting subplot dimensions post hoc with plt.subplots_adjust -- Adjusting axes and ticks -- Customizing tick spacing with locators -- Removing ticks with NullLocator -- Locating ticks in multiples with MultipleLocator -- Locators to display date and time -- Customizing tick formats with formatters -- Using a non-linear axis scale -- More on Pandas-Matplotlib integration -- Showing distribution with the KDE plot -- Showing the density of bivariate data with hexbin plots -- Expanding plot types with Seaborn -- Visualizing multivariate data with a heatmap -- Showing hierarchy in multivariate data with clustermap -- Image plotting -- Financial plotting -- 3D plots with Axes3D -- Geographical plotting -- Basemap -- GeoPandas -- Summary -- Chapter 5: Embedding Matplotlib in GTK+3 -- Installing and setting up GTK+3 -- A brief introduction to GTK+3 -- Introduction to the GTK+3 signal system -- Installing Glade -- Designing the GUI using Glade -- Summary -- Chapter 6: Embedding Matplotlib in Qt 5 -- A brief introduction to Qt 5 and PyQt 5 -- Differences between Qt 4 and PyQt 4 -- Introducing QT Creator / QT Designer -- Summary -- Chapter 7: Embedding Matplotlib in wxWidgets Using wxPython -- A brief introduction to wxWidgets and wxPython -- Embedding Matplotlib in a GUI from wxGlade -- Summary -- Chapter 8: Integrating Matplotlib with Web Applications -- Installing Docker -- Docker for Windows users -- Docker for Mac users -- More about Django -- Django development in Docker containers -- Starting a new Django site -- Installation of Django dependencies -- Django environment setup -- Running the development server -- Showing Bitcoin prices using Django and Matplotlib -- Creating a Django app…”

Tabla de Contenidos: “…-- Benefits of RPA -- Components of RPA -- Recorder -- Development studio -- Extensions and plugins -- Bot runner -- Control center -- RPA platforms -- Automation Anywhere -- UiPath -- Blue Prism -- WorkFusion -- Thoughtonomy -- KOFAX -- About UiPath -- UiPath Studio -- UiPath Robot -- UiPath Orchestrator -- The future of automation -- Summary -- Record and Play -- UiPath stack -- UiPath Studio -- UiPath Robot -- Types of Robots -- UiPath Orchestrator -- Downloading and installing UiPath Studio -- Learning UiPath Studio -- Projects -- The user interface -- The Ribbon -- The Quick Access Toolbar -- Designer panel -- Properties panel -- Activities panel -- Project panel -- Outline panel -- Output panel -- Library panel -- Variable panel -- Argument -- Task recorder -- Advanced UI interactions -- Input methods -- Output methods -- Step-by-step examples using the recorder -- Emptying trash in Gmail -- Emptying Recycle Bin -- Summary -- Sequence, Flowchart, and Control Flow -- Sequencing the workflow -- What is a Sequence? …”

Tabla de Contenidos: “…-- FREE 12 WEEK YEAR FOR WRITERS RESOURCE LIBRARY -- End User License Agreement…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: A First Step in Go -- The Go programming language -- Playing with Go -- No IDE required -- Installing Go -- Source code examples -- Your first Go program -- Go in a nutshell -- Functions -- Packages -- The workspace -- Strongly typed -- Composite types -- The named type -- Methods and objects -- Interfaces -- Concurrency and channels -- Memory management and safety -- Fast compilation -- Testing and code coverage -- Documentation -- An extensive library -- The Go Toolchain -- Summary -- Chapter 2: Go Language Essentials -- The Go source file -- Optional semicolon -- Multiple lines -- Go identifiers -- The blank identifier -- Muting package imports -- Muting unwanted function results -- Built-in identifiers -- Types -- Values -- Functions -- Go variables -- Variable declaration -- The zero-value -- Initialized declaration -- Omitting variable types -- Short variable declaration -- Restrictions for short variable declaration -- Variable scope and visibility -- Variable declaration block -- Go constants -- Constant literals -- Typed constants -- Untyped constants -- Assigning untyped constants -- Constant declaration block -- Constant enumeration -- Overriding the default enumeration type -- Using iota in expressions -- Skipping enumerated values -- Go operators -- Arithmetic operators -- The increment and decrement operators -- Go assignment operators -- Bitwise operators -- Logical Operators -- Comparison operators -- Operator precedence -- Summary -- Chapter 3: Go Control Flow -- The if statement -- The if statement initialization -- Switch statements -- Using expression switches -- The fallthrough cases -- Expressionless switches -- Switch initializer -- Type switches -- The for statements -- For condition…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- Acknowledgement -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: The Era of Big Data -- Big Data - The monster re-defined -- Big Data toolbox - dealing with the giant -- Hadoop - the elephant in the room -- Databases -- Hadoop Spark-ed up -- R - The unsung Big Data hero -- Summary -- Chapter 2: Introduction to R Programming Language and Statistical Environment -- Learning R -- Revisiting R basics -- Getting R and RStudio ready -- Setting the URLs to R repositories -- R data structures -- Vectors -- Scalars -- Matrices -- Arrays -- Data frames -- Lists -- Exporting R data objects -- Applied data science with R -- Importing data from different formats -- Exploratory Data Analysis -- Data aggregations and contingency tables -- Hypothesis testing and statistical inference -- Tests of differences -- Independent t-test example (with power and effect size estimates) -- ANOVA example -- Tests of relationships -- An example of Pearson's r correlations -- Multiple regression example -- Data visualization packages -- Summary -- Chapter 3: Unleashing the Power of R from Within -- Traditional limitations of R -- Out-of-memory data -- Processing speed -- To the memory limits and beyond -- Data transformations and aggregations with the ff and ffbase packages -- Generalized linear models with the ff and ffbase packages -- Logistic regression example with ffbase and biglm -- Expanding memory with the bigmemory package -- Parallel R -- From bigmemory to faster computations -- An apply() example with the big.matrix object -- A for() loop example with the ffdf object -- Using apply() and for() loop examples on a data.frame -- A parallel package example -- A foreach package example -- The future of parallel processing in R -- Utilizing Graphics Processing Units with R.…”

Tabla de Contenidos: “…-- 11.5.2 Die map-Funktion -- 11.5.3 Die reduce-Funktion -- 11.6 Bloom-Filter und HyperLogLog -- 11.6.1 Bloom-Filter -- 11.6.2 HyperLogLog -- 11.7 Die SHA-Algorithmen -- 11.7.1 Dateien vergleichen -- 11.7.2 Passwörter überprüfen -- 11.8 Locality-Sensitive Hashing -- 11.9 Diffie-Hellman-Schlüsselaustausch -- 11.10 Lineare Programmierung -- 11.11 Epilog -- Anhang: Lösungen zu den Übungen -- Kapitel 1 -- Kapitel 2 -- Kapitel 3 -- Kapitel 4 -- Kapitel 5 -- Kapitel 6 -- Kapitel 7 -- Kapitel 8 -- Kapitel 9 -- Kapitel 10 -- Stichwortverzeichnis…”

Tabla de Contenidos: “…-- Identifying opportunities for statistical regression -- Summarizing data -- Exploring relationships -- Testing significance of differences -- Project profitability -- R and statistical regression -- A working example -- Establishing the data profile -- The graphical analysis -- Predicting with our linear model -- Step 1: Chunking the data -- Step 2: Creating the model on the training data -- Step 3: Predicting the projected profit on test data -- Step 4: Reviewing the model…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Introduction to Java EE -- Introduction to Java EE -- Java community process -- Java EE APIs -- One standard, multiple implementations -- Java EE, J2EE, and the Spring framework -- Summary -- Chapter 2: JavaServer Faces -- Introducing JSF -- Facelets -- Optional faces-config.xml -- Standard resource locations -- Developing our first JSF application -- Facelets -- Project stages -- Validation -- Grouping components -- Form submission -- Named beans -- Named bean scopes -- Navigation -- Custom data validation -- Creating custom validators -- Validator methods -- Customizing JSF's default messages -- Customizing message styles -- Customizing message text -- Ajax-enabling JSF applications -- JSF HTML5 support -- HTML5-friendly markup -- Pass-through attributes -- JSF 2.2 Faces flows -- Injecting JSF artifacts -- JSF WebSocket support -- Additional JSF component libraries -- Summary -- Chapter 3: Object Relational Mapping with the Java Persistence API -- The Customer database -- The Java Persistence API -- Entity relationships -- One-to-one relationships -- One-to-many relationships -- Many-to-many relationships -- Composite primary keys -- Java Persistence Query Language -- The Criteria API -- Updating data with the Criteria API -- Deleting data with the Criteria API -- Bean Validation support -- Final notes -- Summary -- Chapter 4: Enterprise JavaBeans -- Session beans -- A simple session bean -- Implementing EJB client code -- A more realistic example -- Invoking session beans from web applications -- Singleton session beans -- Asynchronous method calls -- Message-driven beans -- Transactions in enterprise JavaBeans -- Container-managed transactions -- Bean-managed transactions…”

Tabla de Contenidos: “…Creating a Data Explorer pool using the Azure CLI -- Summary -- Chapter 3: Exploring Azure Synapse Studio -- Technical requirements -- Exploring the user interface of Azure Synapse Studio -- Running your first query -- Creating a database -- Loading the data -- Verifying whether your data has loaded successfully -- Working with data in Azure Synapse notebooks -- Saving your work and configuring source control -- Managing and monitoring Data Explorer pools -- Scaling Data Explorer pools -- Pausing and resuming pools -- Monitoring Data Explorer pools -- Summary -- Chapter 4: Real-World Usage Scenarios -- Technical requirements -- Building a multi-purpose end-to-end analytics environment -- Sources -- Ingest -- Store -- Process -- Enrich -- Serve -- User -- Summary -- Managing IoT data -- Processing and analyzing geospatial data -- Enabling real-time analytics with big data -- Performing time series analytics -- Summary -- Part 2: Working with Data -- Chapter 5: Ingesting Data into Data Explorer Pools -- Technical requirements -- Understanding the data loading process -- Defining a retention policy -- Choosing a data load strategy -- Streaming ingestion -- Batching ingestion -- Performing data ingestion -- Using KQL control commands -- Building an Azure Synapse pipeline -- Implementing continuous ingestion -- Using other data ingestion mechanisms -- Summary -- Chapter 6: Data Analysis and Exploration with KQL and Python -- Technical requirements -- Analyzing data with KQL -- Selecting data -- Working with calculated columns -- Plotting charts -- Obtaining percentiles -- Creating a time series -- Detecting outliers -- Using linear regression -- Exploring Data Explorer pool data with Python -- Creating an Apache Spark pool -- Working with Azure Synapse notebooks -- Reading data from Data Explorer pools -- Plotting charts…”

Tabla de Contenidos: “…Sampling Distributions</p> <p>e. Linear Combinations</p> <p>f. Transformations</p> <p>g. …”

Tabla de Contenidos: “…Perfect magnetic media or HLI media - homogeneous, linear, isotropic (Figure 3.21) -- 3.8.1. Definition -- 3.9. …”

Tabla de Contenidos: “…-- Queue-based technology -- Cache-based technology -- Stream-based technology -- Inspecting messaging protocols, schemas, and delivery patterns -- Messaging protocols -- Standard and custom schemas -- Message delivery patterns -- Implementing message broker technologies -- Reviewing essential Kafka components -- Enabling resiliency and scalability -- Summary -- Questions -- Further reading -- Chapter 4: Domain Model and Asynchronous Events -- Technical requirements -- Solution structure -- Core library review -- Reviewing domain structures and components -- Equipment -- Station -- Maintenance…”