“…The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. …”

Tabla de Contenidos: “…Generating variations on image data -- Sampling data in different ways -- Accessing Data in Structured Flat-File Form -- Reading from a text file -- Reading CSV delimited format -- Reading Excel and other Microsoft Office files -- Sending Data in Unstructured File Form -- Managing Data from Relational Databases -- Interacting with Data from NoSQL Databases -- Accessing Data from the Web -- Chapter 7 Conditioning Your Data -- Juggling between NumPy and pandas -- Knowing when to use NumPy -- Knowing when to use pandas -- Validating Your Data -- Figuring out what's in your data -- Removing duplicates -- Creating a data map and data plan -- Manipulating Categorical Variables -- Creating categorical variables -- Renaming levels -- Combining levels -- Dealing with Dates in Your Data -- Formatting date and time values -- Using the right time transformation -- Dealing with Missing Data -- Finding the missing data -- Encoding missingness -- Imputing missing data -- Slicing and Dicing: Filtering and Selecting Data -- Slicing rows -- Slicing columns -- Dicing -- Concatenating and Transforming -- Adding new cases and variables -- Removing data -- Sorting and shuffling -- Aggregating Data at Any Level -- Chapter 8 Shaping Data -- Working with HTML Pages -- Parsing XML and HTML -- Using XPath for data extraction -- Working with Raw Text -- Dealing with Unicode -- Stemming and removing stop words -- Introducing regular expressions -- Using the Bag of Words Model and Beyond -- Understanding the bag of words model -- Working with n-grams -- Implementing TF-IDF transformations -- Working with Graph Data -- Understanding the adjacency matrix -- Using NetworkX basics -- Chapter 9 Putting What You Know in Action -- Contextualizing Problems and Data -- Evaluating a data science problem -- Researching solutions -- Formulating a hypothesis -- Preparing your data…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgments -- About the Companion Website -- Chapter 1 Importance of Assumptions in Using Statistical Techniques -- 1.1 Introduction -- 1.2 Data Types -- 1.2.1 Nonmetric Data -- 1.2.2 Metric Data -- 1.3 Assumptions About Type of Data -- 1.4 Statistical Decisions in Hypothesis Testing Experiments -- 1.4.1 Type I and Type II Errors -- 1.4.2 Understanding Power of Test -- 1.4.3 Relationship Between Type I and Type II Errors -- 1.4.4 One‐Tailed and Two‐Tailed Tests -- 1.5 Sample Size in Research Studies -- 1.6 Effect of Violating Assumptions -- Exercises -- Answers -- Chapter 2 Introduction of SPSS and Segregation of Data -- 2.1 Introduction -- 2.2 Introduction to SPSS -- 2.2.1 Data File Preparation -- 2.2.2 Importing the Data Set from Excel -- 2.3 Data Cleaning -- 2.3.1 Interpreting Descriptive Statistics Output -- 2.3.2 Interpreting Frequency Statistic Output -- 2.4 Data Management -- 2.4.1 Sorting Data -- 2.4.1.1 Sort Cases -- 2.4.1.2 Sort Variables -- 2.4.2 Selecting Cases Using Condition -- 2.4.2.1 Selecting Data of Males with Agree Response -- 2.4.3 Drawing Random Sample of Cases -- 2.4.4 Splitting File -- 2.4.5 Computing Variable -- Exercises -- Answers -- Chapter 3 Assumptions in Survey Studies -- 3.1 Introduction -- 3.2 Assumptions in Survey Research -- 3.2.1 Data Cleaning -- 3.2.2 About Instructions in Questionnaire -- 3.2.3 Respondent's Willingness to Answer -- 3.2.4 Receiving Correct Information -- 3.2.5 Seriousness of the Respondents -- 3.2.6 Prior Knowledge of the Respondents -- 3.2.7 Clarity About Items in the Questionnaire -- 3.2.8 Ensuring Survey Feedback -- 3.2.9 Nonresponse Error -- 3.3 Questionnaire's Reliability -- 3.3.1 Temporal Stability -- 3.3.1.1 Test-Retest Method -- 3.3.2 Internal Consistency -- 3.3.2.1 Split‐Half Test -- 3.3.2.2 Kuder-Richardson Test…”

Tabla de Contenidos: “…Chapter 7: IA Templates and Utility - IA Object -- Technical requirements -- Object - Utility - IA -- Random Integer in Range -- Random Decimal in Range -- Run Process Read Stdout Stderr with Timeout -- File to Base64 -- Threshold Excel to Collection -- Get Threshold by Label -- Object Overview -- Process templates -- Single-Process, single-Work Queue, synchronous review Process template -- Single-Process, single-Work Queue, asynchronous review Process template -- Three-Process, three-Work Queue, asynchronous review Process template -- Summary -- Part 3: Control Room and Management -- Chapter 8: The LAM, User Roles, and MTE -- Technical requirements -- IA User Roles and Permissions -- ML Auditor -- ML Deployer -- ML Reviewer -- A User Role comparison -- MTEs -- MTE for the ML Auditor and ML Reviewer User Roles -- MTE limitations -- An updated LAM template -- Summary -- Chapter 9: ML Deployments and Database Operations -- ML deployments and rollbacks -- Web API deployment strategies -- Script deployment strategies -- Code Stage deployment strategies -- Database operations -- Table growth maintenance -- Extracting ML prediction data from the database -- Exporting reviewed prediction data from the database -- Summary -- Chapter 10: IA's Impact on the Robotic Operating Model -- Strategy -- Future of Work Vision -- Business case and value -- Governance, Risk, and Controls -- Workforce -- Building your organizational model -- Adopting new ways of thinking and working -- Roles and career paths -- Design -- Assessment and Prioritization -- Requirements Design -- Development -- Methodology and Teamwork -- Delivery Controls -- Testing and Quality Assurance -- Operations -- Deploy and Release -- Support model -- Summary -- Part 4: Real-Life Scenarios and Other Blue Prism Products -- Chapter 11: Processing Refunds -- Technical requirements…”

Tabla de Contenidos: “…Merging Duplicates with Grouping -- Creating Outputs with Multiple Outputs -- Running XSLT -- Using Oracle XDK Java -- Using Oracle XML DB -- Summary -- 8 XML Query -- XQuery Expressions -- Using XMLQuery() -- Querying XMLType Objects -- Querying XML DB Repository -- Querying Relational Tables -- XQuery Beyond the Basics -- Using Functions -- Nested XQuery Expressions -- Numeric Calculations -- Oracle XQuery Extensions -- ora:contains() -- ora:matches() -- ora:replace() -- Summary -- 9 XML and Relational Tables -- Creating XML from Relational Tables -- Using SQL/XML Functions -- Using XQuery -- Using DBMS_XMLGEN or XMLType() -- Using Oracle XDK Java -- Creating a Relational View on XML Data -- Loading XML into Relational Tables -- Loading Excel Spreadsheet Content into Relational Tables -- Loading XML Data -- Summary -- 10 Searching XML -- Using ora:contains() -- Using Oracle Text -- Basic Oracle Text Search on XML -- Using XML Section Groups -- Indexing Oracle XML DB Repository -- Using Oracle Secure Enterprise Search -- Preparing the Index Data -- Creating a Database Data Source -- Crawling the XML Data -- Enabling XML Content Navigation -- Creating a Source Group -- UI Customization -- Searching XML -- Refining the Search Result Cache -- Summary -- PART II MANAGING ORACLE XML DATABASE -- 11 XML DB Installation -- Installing Oracle XML DB -- Simple Installation Review -- Detailed Installation Review -- Installing Oracle XML DB -- Reinstall Oracle XML DB -- Set Up XML DB Repository -- Installing Oracle XDK -- Validate Oracle XDK Installation -- Set Up Oracle XDK Command-line Utilities -- Summary -- 12 XML DB Storage -- XML Storage Options -- Object-Relational XMLType -- Binary XMLType -- Creating Binary XMLType -- Partitioning Binary XMLType -- XMLIndex on Binary XMLType -- Managing XML DB Storage -- XMLType Tables and Columns -- XMLType Views…”

“…You'll learn the skills you need to excel on the test and in the field, with coverage of every exam objective and competency, including focus areas of the latest exam such as Kubernetes, Anthos, and multi-cloud architectures. …”

“…The book also guides you through interacting and negotiating with businesses and vendors on various technical matters and exploring observability, outages, and why and how to craft an excellent runbook. Finally, you'll learn how to elevate your site reliability engineering career, including certifications and interview tips and questions. …”

“…Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning Gain the confidence to explain complex statistical, machine learning, and deep learning theory Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals Purchase of the print or Kindle book includes a free PDF eBook Book Description The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. …”

Tabla de Contenidos: “…Types of data sources -- Getting started with data extraction -- CSV and Excel data files -- Parquet data files -- API connections -- Databases -- Data from web pages -- Creating a data extraction pipeline using Python -- Data extraction -- Logging -- Summary -- References -- Chapter 5: Data Cleansing and Transformation -- Technical requirements -- Scrubbing your data -- Data transformation -- Data cleansing and transformation in ETL pipelines -- Understanding the downstream applications of your data -- Strategies for data cleansing and transformation in Python -- Preliminary tasks - the importance of staging data -- Transformation activities in Python -- Creating data pipeline activity in Python -- Summary -- Chapter 6: Loading Transformed Data -- Technical requirements -- Introduction to data loading -- Choosing the load destination -- Types of load destinations -- Best practices for data loading -- Optimizing data loading activities by controlling the data import method -- Creating demo data -- Full data loads -- Incremental data loads -- Precautions to consider -- Tutorial - preparing your local environment for data loading activities -- Downloading and installing PostgreSQL -- Creating data schemas in PostgreSQL -- Summary -- Chapter 7: Tutorial - Building an End-to-End ETL Pipeline in Python -- Technical requirements -- Introducing the project -- The approach -- The data -- Creating tables in PostgreSQL -- Sourcing and extracting the data -- Transformation and data cleansing -- Loading data into PostgreSQL tables -- Making it deployable -- Summary -- Chapter 8: Powerful ETL Libraries and Tools in Python -- Technical requirements -- Architecture of Python files -- Configuring your local environment -- config.ini -- config.yaml -- Part 1 - ETL tools in Python -- Bonobo -- Odo -- Mito ETL -- Riko -- pETL -- Luigi…”

Tabla de Contenidos: “…Chapter 6 Working with Real Data -- Uploading, Streaming, and Sampling Data -- Uploading small amounts of data into memory -- Streaming large amounts of data into memory -- Generating variations on image data -- Sampling data in different ways -- Accessing Data in Structured Flat-File Form -- Reading from a text file -- Reading CSV delimited format -- Reading Excel and other Microsoft Office files -- Sending Data in Unstructured File Form -- Managing Data from Relational Databases -- Interacting with Data from NoSQL Databases -- Accessing Data from the Web -- Chapter 7 Processing Your Data -- Juggling between NumPy and pandas -- Knowing when to use NumPy -- Knowing when to use pandas -- Validating Your Data -- Figuring out what's in your data -- Removing duplicates -- Creating a data map and data plan -- Manipulating Categorical Variables -- Creating categorical variables -- Renaming levels -- Combining levels -- Dealing with Dates in Your Data -- Formatting date and time values -- Using the right time transformation -- Dealing with Missing Data -- Finding the missing data -- Encoding missingness -- Imputing missing data -- Slicing and Dicing: Filtering and Selecting Data -- Slicing rows -- Slicing columns -- Dicing -- Concatenating and Transforming -- Adding new cases and variables -- Removing data -- Sorting and shuffling -- Aggregating Data at Any Level -- Chapter 8 Reshaping Data -- Using the Bag of Words Model to Tokenize Data -- Understanding the bag of words model -- Sequencing text items with n-grams -- Implementing TF-IDF transformations -- Working with Graph Data -- Understanding the adjacency matrix -- Using NetworkX basics -- Chapter 9 Putting What You Know into Action -- Contextualizing Problems and Data -- Evaluating a data science problem -- Researching solutions -- Formulating a hypothesis -- Preparing your data…”

Tabla de Contenidos: “…2.4 Other 3D parametrisation -- 2.5 Numerical set up -- 2.6 Platform integration and optimisation algorithm -- 3 Results And Discussion -- 3.1 Sensitivity analysis and optimised radial fibre geometry -- 3.2 Sensitivity analysis and optimised non-radial fibre geometry -- 3.3 Experimental results -- 3.4 Losses and CFD analysis -- 4 Conclusions -- Nomenclature -- References -- Comparative analysis of the inverted Joule cycle, closed Joule cycle, and various approximate Ericsson cycles for waste heat recovery from exhaust gases with the working fluid as a variable -- 1 Introduction -- 2 Modelling Of WHR Cycles -- 2.1 WHR cycles explored -- 2.1.1 Inverted Joule cycle (IJC) -- 2.1.2 Simple closed Joule cycle (CJC) -- 2.1.3 Closed Joule cycle with heat recuperation -- 2.1.4 Two-stage Ericsson cycle -- 2.1.5 Three-stage Ericsson cycle -- 2.2 Modelling of WHR cycles -- 2.2.1 MS-Excel -- 2.2.2 Aspen Plus -- 3 Results And Discussion -- 3.1 Thermodynamic efficiency of the closed WHR cycles -- 3.2 Specific net work output of WHR cycles -- 3.2.1 Impact of exhaust gas temperatures on specific net work output -- 3.2.2 Impact of working fluid on specific net work output in CJC -- 4 Conclusions -- References -- Blade vibration visualization of dual volute turbine with vaned nozzle by using high speed Digital Image Correlation -- 1 Introduction -- 2 Aerodynamic Excitation Mode Of Dual Volute Turbine -- 3 Resonance Mode Analysis At Turbine Blade Design Stage -- 4 Blade Vibration Analysis Result From Hood Test -- 5 Visualization Of Turbine Blade Vibration Using DIC -- 6 Conclusions -- References -- Internal flow investigation in a radial turbine non-axisymmetric diffuser using particle image velocimetry -- 1 Introduction -- 2 Measurement Details -- 2.1 PIV experimental equipment -- 2.2 Turbine specification -- 2.3 Turbine performance test -- 2.4 PIV measurement planes…”

Tabla de Contenidos: “…The Theory of PR -- 2.1 Learning Outcomes -- 2.2 Introduction -- 2.3 PR Theory -- 2.3.1 Systems Theory -- 2.3.1.1 The Four Models of PR and Excellence Theory -- 2.3.1.1.1 The Four Models of PR -- 2.3.1.1.2 The Excellence Theory -- 2.3.1.1.3 Empowerment of the PR Function -- 2.3.1.1.4 Communicator Roles -- 2.3.1.1.5 Organisation of the Communication Function and Its Relationship to Other Management Functions -- 2.3.1.1.6 Models of PR -- 2.4 Rhetorical Theory -- 2.5 Modernism and Postmodernism -- 2.6 Communications Theory -- 2.6.1 Laswell, Shannon and Weaver, Lazarsfield -- 2.7 The Evolution of Media -- 2.8 Conclusion -- 2.9 For Discussion -- References -- 3. …”

Tabla de Contenidos: “…: no, a new gag for an old goose, 1624 ; Appello Caesarem : a just appeal from two unjust informers, 1625 / Richard Montagu ; Appendix : William Barlow on falling from grace at the Hampton Court Conference, 1604 -- Riches of mercy to men in misery : or, certain excellent treatises concerning the dignity and duty of God's children, ca. 1624 ; "The buckler of a believer," "Self-seeking opposite to Christ's interest" ; "Free grace magnified" / John Preston -- The locusts, or Apollyonists, 1627 / Phineas Fletcher -- The spy : discovering the danger of Arminian heresy and Spanisha treachery, 1628 / J.R. -- Microcosmography : or, a piece of the world discovered, in essays and characters, 1628 / John Earle -- God no impostor nor deluder, 1629 / William Prynne -- The estate of a Christian laid forth in a sermon preached at Gray's Inn, late 1620s / Joseph Hall -- The Gospel treasury opened, ca. 1625-36 ; "Of milk for babes ; and of meat for strong men" ; "All power given to Jesus Christ, in heaven and earth" / John Everard -- The bruised reed and smoking flax, 1630 / Richard Sibbes -- The story books of Little Gidding : being the religious dialogues recited in the great room 1631-32 / The Little Gidding Source Books -- Divine fancies : digested into epigrams, meditations, and observations, 1632 / Francis Quarles -- Sermons preached at Brancepath, 1632-33 / John Cosin -- "Upon faithful window, ", ca. 1632-33 / Richard Corbett -- "On Fairford windows" ; "On the Bible" ; "Justification" ; On the same M.M.P…”
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Tabla de Contenidos: “…Obtaining Data -- Overview -- Copying Local Files to the Docker Container -- Downloading from the Internet -- Introducing curl -- Saving -- Other Protocols -- Following Redirects -- Decompressing Files -- Converting Microsoft Excel Spreadsheets to CSV -- Querying Relational Databases -- Calling Web APIs -- Authentication -- Streaming APIs -- Summary -- For Further Exploration -- Chapter 4. …”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Foreword -- Acknowledgments -- About the Author -- Introduction -- Background -- Chapter 1: The "Ravell" Corporation -- Introduction -- A new approach -- The blueprint for integration -- Enlisting support -- Assessing progress -- Resistance in the ranks -- Line management to the rescue -- IT begins to reflect -- Defining an identity for information technology -- Implementing the integration: a move toward trust and reflection -- Key lessons -- Defining reflection and learning for an organization -- Working toward a clear goal -- Commitment to quality -- Teaching staff "not to know" -- Transformation of culture -- Alignment with administrative departments -- Conclusion -- Chapter 2: The IT dilemma -- Introduction -- Recent background -- IT in the organizational context -- IT and organizational structure -- The role of IT in business strategy -- Ways of evaluating IT -- Executive knowledge and management of IT -- IT: a view from the top -- Section 1: Chief executive perception of the role of IT -- Section 2: Management and strategic issues -- Section 3: Measuring IT performance and activities -- General results -- Defining the IT dilemma -- Recent developments in operational excellence -- Note -- Chapter 3: Technology as a variable and responsive organizational dynamism -- Introduction -- Technological dynamism -- Responsive organizational dynamism -- Strategic integration -- Summary -- Cultural assimilation -- IT organization communications with "others" -- Movement of traditional IT staff -- Summary -- Technology business cycle -- Feasibility -- Measurement -- Planning -- Implementation -- Evolution -- Drivers and supporters -- Santander versus Citibank -- Information technology roles and responsibilities -- Replacement or outsource -- Note…”

Tabla de Contenidos: “…7.13 Devote Yourself to Excellence -- Sources -- Chapter 8 Learning to Lead -- 8.1 How You Behave Affects Your Team -- 8.2 Leaders Set an Example for Their Teams -- 8.3 Learn to Avoid the Symptoms of Poor Leadership -- 8.4 Leadership Must Be Earned -- 8.5 Strive to Be a Transformational Leader -- 8.6 Leaders Are Made by Their Circumstances -- 8.7 Leading from Below -- Sources -- Epilogue: Software Engineers Are the Pioneers of Knowledge Work -- Appendix: PSP, TSP, and CMMI -- The Personal Software Process (PSP) -- The Team Software Process (TSP) -- CMM and CMMI -- Bibliography -- Index…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1 - Getting Started -- Chapter 1: The Impact of Data Quality on Organizations -- The value of this book -- Importance of executive support -- Detailed definition of bad data -- Bad data versus perfect data -- Impact of bad data quality -- Quantification of the impact of bad data -- Impacts of bad data in depth -- Process and efficiency impacts -- Reporting and analytics impacts -- Compliance impacts -- Data differentiation impacts -- Causes of bad data -- Lack of a data culture -- Prioritizing process speed over data governance -- Mergers and acquisitions -- Summary -- References -- Chapter 2: The Principles of Data Quality -- Data quality in the wider context of data governance -- Data governance as a discipline -- Data governance tools and MDM -- How data quality fits into data governance and MDM -- Generally accepted principles and terminology of data quality -- The basic terms of data quality defined -- Data quality dimensions -- Stakeholders in data quality initiatives -- Different stakeholder types and their roles -- The data quality improvement cycle -- Business case -- Data discovery -- Rule development -- Monitoring -- Remediation -- Embedding into BAU -- Summary -- References -- Chapter 3: The Business Case for Data Quality -- Activities, components, and costs -- Activities in a data quality initiative -- Early phases -- Planning and business case phase -- Developing quantitative benefit estimates -- Example - the difficulty of calculating quantitative benefits -- Strategies for quantification -- Developing qualitative benefits -- Surveys and focus groups -- Outlining data quality qualitative risks in depth -- Anticipating leadership challenges -- The "Excel will do the job" challenge…”

Tabla de Contenidos: “…. -- See also -- Reports in Excel format -- Getting ready -- How to do it... -- How it works... -- See also -- Data validation in JIRA reports -- Getting ready -- How to do it... -- How it works... -- See also -- Restricting access to reports -- Getting ready -- How to do it... -- How it works... -- See also -- Object configurable parameters for reports -- How to do it... -- How it works... -- See also -- Writing JIRA gadgets -- Getting ready -- How to do it... -- How it works... -- There's more... -- Invoking REST services from gadgets -- Getting ready -- How to do it... -- How it works... -- See also -- Configuring user preferences in gadgets -- Getting ready... -- How to do it... -- How it works... -- There's more... -- See also -- Accessing gadgets outside of JIRA -- Getting ready... -- How to do it... -- How it works... -- See also -- Chapter 6: The Power of JIRA Searching -- Introduction -- Writing a JQL function -- Getting ready -- How to do it... -- How it works... -- See also -- Sanitizing JQL functions -- Getting ready -- How to do it...…”

Tabla de Contenidos: “…Übersicht aller installierten Apps anzeigen -- Probleme mit dem Windows Store finden und beheben -- 6 Die besten Apps, die jeder haben muss -- Schon eingebaut: Diese Apps liefert Microsoft mit Windows 10 aus -- Apps für das Grundlegende -- Produktivitäts-Apps: Office, OneNote und OneDrive -- Verbunden bleiben: Kontakte, Mail und Skype -- Pünktlich sein: Kalender, Wecker, Karten -- Multimedia-Apps: Kamera, Fotos und Sprachrekorder -- Unterhaltungs-Apps -- Nachrichtenzentrale: News, Finanzen, Sport und Wetter -- Das Büro immer dabei: Das sind die kostenlosen Microsoft-Office-Apps -- Word Mobile -- Excel Mobile -- PowerPoint Mobile -- OneNote -- Weitere Apps, die auf keinem PC fehlen dürfen -- Adobe Photoshop Express -- VLC media player -- Dropbox -- Fresh Paint -- Twitter -- WolframAlpha -- Apps für Windows-7- und -8.1-Funktionen, die in Windows 10 fehlen -- Windows Media Center -- DVD-Wiedergabe -- Desktop-Minianwendungen -- Vorinstallierte Spiele -- Unterstützung für USB-Diskettenlaufwerke -- Windows (Live) Essentials -- 7 Microsoft Edge, der neue Browser von ­Windows 10 -- Einfaches Lesen von Web-Artikeln -- Ablenkungen ausblenden mit der Leseansicht -- Artikel und Webseiten zum Späterlesen vormerken -- Notizen in Webseiten einfügen -- So teilt man Webseiten mit Freunden -- Edge an die eigenen Wünsche anpassen -- Praktische Neuer-Tab-Seite -- Sternenklare Nacht: den dunklen Modus aktivieren -- Favoriten: Lesezeichen für häufig besuchte Webseiten -- Browserverlauf und Surfspuren bereinigen -- Button für Startseite in Symbolleiste anzeigen -- Flash Player abschalten -- Standard-Suchmaschine ändern -- 8 Gut vernetzt - in der Cloud angekommen -- OneDrive: Daten in der Cloud speichern -- Neues bei OneDrive für Windows 10 -- Nur bestimmte OneDrive-Ordner synchronisieren -- Von anderswo auf die Dateien des Computers zugreifen…”