Tabla de Contenidos: “…Identifying insightful interview questions -- Sharpening interview skills with AI-generated responses -- Generating strategic questions for client engagements with AI -- Summary -- Chapter 4: LLMs for Creative Writing -- Using AI for creative writing -- Using AI to generate fiction -- Using AI to write poetry -- Summary -- Chapter 5: Unlocking Insights from Unstructured Text - AI Techniques for Text Analysis -- Sentiment analysis - AI techniques for emotion detection in text -- Organizing unstructured data - using AI for automated text categorization and data classification -- Cleaning up dirty data - how AI identifies and resolves issues in datasets -- Making sense of unstructured data - pattern matching for information extraction -- Summary -- Part 3: Advanced Use Cases for Different Industries -- Chapter 6: Applications of LLMs in Education and Law -- Creating course materials with ChatGPT -- Creating handouts and other materials -- Creating handouts for the unit -- Creating solved examples -- Word problems -- Creating quizzes -- Creating rubrics -- Creating cloze comprehension tests -- AI for legal research -- Reviewing legal documents using an LLM -- Drafting legal documents with an LLM -- AI for legal education and training -- LLMs for eDiscovery and litigation support -- AI for intellectual property (IP) management -- Other applications of LLMs for lawyers -- Summary -- Chapter 7: The Rise of AI Pair Programmers - Teaming Up with Intelligent Assistants for Better Code -- Code generation with coding assistants -- From confusion to clarity - AI explains what code does in plain English -- Commenting, formatting, and optimizing code -- Fixing faulty code - how AI transforms the debugging process -- Translating code from one language to another -- Case study 1 - developing a website code using AI…”

Tabla de Contenidos: “…Chapter 11: Modeling Archive DataSummary; Chapter 12: Setting Archive Policies; Chapter 13: Changes to Data Structures and Policies; 13.3 Changes to the Archive Data Model; 13.4 Managing the Metadata Change Process; Summary; Part 4: Database Archiving Application Software; Chapter 14: The Archive Data Store; 14.1 Archive Database Choices; Chapter 15: The Archive Data Extraction Component; 15.1 The Archive Extractor Model; 15.4 Integrity Considerations; Summary; Chapter 16: The Archive Discard Component; 16.3 Integrity Considerations; 16.4 Operational Considerations; Summary…”

Tabla de Contenidos: “…4.9 Considerations for Enterprise Integration4.10 Thought Exercises; 5 Data Governance for Big Data Analytics: Considerations for Data Policies and Processes; 5.1 The Evolution of Data Governance; 5.2 Big Data and Data Governance; 5.3 The Difference with Big Datasets; 5.4 Big Data Oversight: Five Key Concepts; 5.4.1 Managing Consumer Data Expectations; 5.4.2 Identifying the Critical Dimensions of Data Quality; 5.4.3 Consistency of Metadata and Reference Data for Entity Extraction; 5.4.4 Repurposing and Reinterpretation; 5.4.5 Data Enrichment and Enhancement; 5.5 Considerations…”

Tabla de Contenidos: “…Examples of Providing Context -- RAG and Long Context Models -- Recent Work Comparing RAG with Long Content Models -- Conclusion -- Context and Model Limitations -- Indicating a Desired Format -- Example of Formatted Extraction with Claude -- Trade-Off Between Verbosity and Clarity -- Caching with Vector Stores -- What Is a Vector Store? …”

“…STUDY SELECTION: Two investigators independently selected studies reporting on asymptomatic adults with CAS, including randomized, controlled trials (RCTs) of screening for CAS; RCTs of carotid endarterectomy (CEA) or carotid angioplasty and stenting (CAAS) versus medical treatment; RCTs of medications versus placebo added to current standard medical therapy; multi-institution trials or cohort studies reporting harms; relevant systematic reviews; and studies that attempted to externally validate risk stratification tools. DATA EXTRACTION: One reviewer extracted data and a second checked accuracy Two independent reviewers assigned quality ratings using predefined criteria. …”

Tabla de Contenidos: “…Analytics -- Identity in the blockchain -- Introduction to the business landscape -- Analytics -- Redefining the art business with blockchain -- Introduction to the business landscape -- Data extraction -- Floor price and wash trading -- A word on anti-money laundering (AML) practices -- Summary -- Further reading -- Chapter 5: Exploring Analytics on DeFi -- Technical requirements -- Stablecoins and other tokens -- Understanding tokens, native assets, and the ERC-20 data structure -- Hands-on example -- Understanding DEX -- Hands-on example - pools and AMM -- DEX aggregators -- Lending and borrowing services on Web3 -- Flash loans -- A note on protocol bad debt -- Multichain protocols and cross-chain bridges -- Hands-on example - Hop bridge -- Summary -- Further reading -- Part 2 Web3 Machine Learning Cases -- Chapter 6: Preparing and Exploring Our Data -- Technical requirements -- Data preparation -- Hex values -- Checksum -- Decimal treatment -- From Unix timestamps to datetime formats -- Evolution of smart contracts -- Exploratory Data Analysis -- Summarizing data -- Outlier detection -- Summary -- Further reading -- Chapter 7: A Primer on Machine Learning and Deep Learning -- Technical requirements -- Introducing machine learning -- Building a machine learning pipeline -- Model -- Training -- Underfitting and overfitting -- Prediction and evaluation -- Introducing deep learning -- Model preparation -- Model building -- Training and evaluating a model -- Summary -- Further reading -- Chapter 8: Sentiment Analysis - NLP and Crypto News -- Technical requirements -- Example datasets -- Building our pipeline -- Preparation -- Model building -- Training and evaluation -- ChatGPT integration -- Summary -- Further reading -- Chapter 9: Generative Art for NFTs -- Technical requirements -- Creating with colors - colorizing -- Hands-on Style2Paints…”

Tabla de Contenidos: “…13.3 Dilation and Erosion / 304 -- 13.3.1 Dilation / 305 -- 13.3.2 Erosion / 307 -- 13.4 Compound Operations / 310 -- 13.4.1 Opening / 310 -- 13.4.2 Closing / 311 -- 13.4.3 Hit-or-Miss Transform / 313 -- 13.5 Morphological Filtering / 314 -- 13.6 Basic Morphological Algorithms / 315 -- 13.6.1 Boundary Extraction / 317 -- 13.6.2 Region Filling / 319 -- 13.6.3 Extraction and Labeling of Connected -- Components / 321 -- 13.7 Grayscale Morphology / 322 -- 13.7.1 Dilation and Erosion / 323 -- 13.7.2 Opening and Closing / 323 -- 13.7.3 Top-Hat and Bottom-Hat Transformations / 325 -- 13.8 Tutorial 13.1: Binary Morphological Image Processing / 325 -- 13.9 Tutorial 13.2: Basic Morphological Algorithms / 330 -- 13.10 Problems / 334 -- 14 EDGE DETECTION 335 -- 14.1 Formulation of the Problem / 335 -- 14.2 Basic Concepts / 336 -- 14.3 First-order Derivative Edge Detection / 338 -- 14.4 Second-order Derivative Edge Detection / 343 -- 14.4.1 Laplacian of Gaussian / 345 -- 14.5 The Canny Edge Detector / 347 -- 14.6 Edge Linking and Boundary Detection / 348 -- 14.6.1 The Hough Transform / 349 -- 14.7 Tutorial 14.1: Edge Detection / 354 -- 14.8 Problems / 363 -- 15 IMAGE SEGMENTATION 365 -- 15.1 Introduction / 365 -- 15.2 Intensity-based Segmentation / 367 -- 15.2.1 Image Thresholding / 368 -- 15.2.2 Global Thresholding / 369 -- 15.2.3 The Impact of Illumination and Noise on Thresholding / 370 -- 15.2.4 Local Thresholding / 371 -- 15.3 Region-based Segmentation / 373 -- 15.3.1 Region Growing / 374 -- 15.3.2 Region Splitting and Merging / 377 -- 15.4 Watershed Segmentation / 377 -- 15.4.1 The Distance Transform / 378 -- 15.5 Tutorial 15.1: Image Thresholding / 379 -- 15.6 Problems / 386 -- 16 COLOR IMAGE PROCESSING 387 -- 16.1 The Psychophysics of Color / 387 -- 16.1.1 Basic Concepts / 388 -- 16.1.2 The CIE XYZ Chromaticity Diagram / 390 -- 16.1.3 Perceptually Uniform Color Spaces / 393 -- 16.1.4 ICC Profiles / 395 -- 16.2 Color Models / 396 -- 16.2.1 The RGB Color Model / 396 -- 16.2.2 The CMY and CMYK Color Models / 398.…”

Tabla de Contenidos: “…-- Lab 4.3 Exercises -- Lab 4.3 Exercise Answers -- Lab 4.3 Quiz -- Workshop -- CHAPTER 5 Date and Conversion Functions -- LAB 5.1 Applying Oracle's Date Format Models -- Changing the Date Display Format -- Performing a Date Search -- Implicit Conversion and Default Date Format -- The RR Date Format Mask and the Previous Century -- The Time Component -- Time and the TRUNC Function -- The ANSI DATE and ANSI TIMESTAMP Formats -- Lab 5.1 Exercises -- Lab 5.1 Exercise Answers -- Lab 5.1 Quiz -- LAB 5.2 Performing Date and Time Math -- The SYSDATE Function -- Performing Arithmetic on Dates -- The ROUND Function -- The EXTRACT Function -- Snippets -- Lab 5.2 Exercises -- Lab 5.2 Exercise Answers -- Lab 5.2 Quiz -- LAB 5.3 Understanding the TIMESTAMP and TIME ZONE Data Types -- The TIMESTAMP Data Type -- The TIMESTAMP WITH TIME ZONE Data Type -- The TIMESTAMP WITH LOCAL TIME ZONE Data Type -- Common Format Masks -- Datetime Functions -- Extract Functions -- Conversion Functions -- Datetime Expression -- Lab 5.3 Exercises -- Lab 5.3 Exercise Answers -- Lab 5.3 Quiz -- LAB 5.4 Performing Calculations with the Interval Data Types -- Using Intervals -- EXTRACT and Intervals -- Interval Expressions -- Determining Overlaps -- Lab 5.4 Exercises -- Lab 5.4 Exercise Answers -- Lab 5.4 Quiz -- LAB 5.5 Converting from One Data Type to Another…”

Tabla de Contenidos: “…THE ORGANISATION AND HOMOGENISATION OF INFORMATION -- 5.6. CONCLUSION -- 6. EXTRACTING MORE VALUE FROM JOB VACANCY INFORMATION -- 6.1. …”
Enlace del recurso

Tabla de Contenidos: “…Representing an arbitrary orientation; Fixed-angle representation; 2.1.6. Extracting transformations from a matrix; 2.1.7. Description of transformations in the display pipeline; Object space to world space transformation; World space to eye space transformation; Perspective matrix multiply; Perspective divide…”
>Acceso al texto completo en ebscohost

Tabla de Contenidos: “…. -- 6.6 Summary -- Additional Texts that May Belong to the mašmaššu-phase -- 7.1 Omission and Inclusion of Titles -- 7.2 Tablets Without Kiṣir-Aššur's Professional Title -- 7.3 Tablets with Broken Colophons -- 7.4 The mašmaššu-phase and Purpose Statements -- 7.5 A Discussion of the Dated Tablet KAR 267 -- 7.6 Other Technical Literature: BAM 307 and ACh Supp. 2 24 -- 7.7 Summary -- Kiṣir-Aššur's mašmaš bīt Aššur-phase -- 8.1 The Title mašmaš bīt Aššur -- 8.2 Medical Texts from Kiṣir-Aššur's mašmaš bīt Aššur-phase -- 8.3 Tested Prescriptions Among the Medical Texts -- 8.4 Panaceas Among the Medical Texts -- 8.5 Ritual Texts from Kiṣir-Aššur's mašmaš bīt Aššur-phase -- 8.6 Texts Connected to the Aššur Temple -- 8.7 Summary -- Situating Kiṣir-Aššur's Knowledge Production -- 9.1 Kiṣir-Aššur's Overall Medical Focus -- 9.2 Numbered Nisḫu-extracts -- 9.3 Catch-lines and Duplicate Passages in Kiṣir-Aššur's Texts in Relation to the Therapeutic Series Ugu -- 9.4 The Exorcist's Manual (EM) -- 9.5 Kiṣir-Aššur and the Scholarly Traditions in Assur -- 9.6 Summary -- Synthesis and Conclusion -- Catalogue of Texts -- Edition of RA 15 pl. 76 -- Transliteration -- General Observations -- Commentary -- Bibliography 346 -- Index…”

Tabla de Contenidos: “…Risks of Coal Seam and Shale Gas Extraction on Groundwater and Aquifers in Eastern Australia -- Part VI: Wastewater and Irrigation -- 17. …”

Tabla de Contenidos: “…-- PCR and PLS for Clusterwise Regression on Functional Data -- A New Method for Ranking n Statistical Units -- About Relational Correlations -- Dynamic Features Extraction in Soybean Futures Market of China…”

Tabla de Contenidos: “…Chapter 2: Analytical Chemistry of Plastic Debris: Sampling, Methods, and Instrumentation -- 2.1 Introduction -- 2.2 About the Analytes -- 2.3 Sampling -- 2.3.1 Aqueous Matrices -- 2.3.2 Air Samples -- 2.3.3 Sediments, Soils, and Dust -- 2.3.4 Biological Samples -- 2.3.5 Sample Preservation -- 2.4 Laboratory Processing -- 2.4.1 Sample Preparation -- 2.4.2 Chemical and Enzymatic Digestion -- 2.4.3 Physical Separation of Plastics from the Matrix: Filtration and Sieving -- 2.4.4 Density and Other Physical Separation -- 2.4.5 Solvent Extraction -- 2.5 Microplastic Detection and Instrumentation…”

Tabla de Contenidos: “…The str_length() and str_c() FunctionsThe str_sub() Function; The str_dup() Function; Padding, Wrapping, and Trimming Strings; Extracting Words; Chapter 6: Working with Tables; Recipe 6-1. …”

Tabla de Contenidos: “…Trimming Digital Audio: Removing Unused DataExtracting Audio: Selecting Sample Components; Scrubbing Digital Audio: Sample Playback Rate; Rearranging Digital Audio: Cut, Copy, and Paste; Summary; Chapter 7: The Manual Labor of Digital Audio: Sample Editing; Audio Data Editing: Changing the Sample; Cleaning the Sample: Removing Isolated Artifacts; Sample Data Surgery: Removing Attached Artifacts; Algorithmic Sample Surgery: Integrated Artifacts; Summary; Chapter 8: The Algorithms of Digital Audio: Audio Processing; Algorithmic Audio Effects Processing; Waveform Amplitude: The Amplify Effect…”

Tabla de Contenidos: “…Chapter 2 Working with Layers, Selections, and MasksDUPLICATE AND CHANGE THE BACKGROUND LAYER to fix problems such as overexposure; Using an ADJUSTMENT LAYER to adjust a photo nondestructively; BLEND TWO PHOTOS TOGETHER with a layer mask; Using CUSTOM SHAPE LAYERS to add designs to photos; ACCENTUATE A SKY easily with a gradient fill layer; Using the QUICK SELECTION TOOL AND REFINE EDGE PALETTE for selections; Using a QUICK MASK to make a detailed selection; EXTRACT THE MAIN SUBJECT from the background; Open or add layers as SMART OBJECTS for nondestructive changes…”

Tabla de Contenidos: “…Get the Most Out of grep; Searching by Relevance; Document Extracts; Using Regular Expressions; Combining grep with Other Commands; See Also; 15. …”

Tabla de Contenidos: “…THE ORGANISATION AND HOMOGENISATION OF INFORMATION -- 5.6. CONCLUSION -- 6. EXTRACTING MORE VALUE FROM JOB VACANCY INFORMATION -- 6.1. …”

Tabla de Contenidos: “…Mackaness -- Gaining knowledge from georeferenced social media data with visual analytics / Gennady Andrienko and Natalia Andrienko -- Head/tail breaks for visualization of city structure and dynamics / Bin Jiang -- Querying VGI by semantic enrichment / Rob Lemmens, Gilles Falquet, Stefano De Sabbata, Bin Jiang, and Benedicte Bucher -- Extracting location information from crowd-sourced social network data / Pinar Karagoz, Hali Oguztuzun, Ruket Cakici, Ozer Ozdikis, Kezban Dilek Onal, and Meryem Sagcan -- Spatial and temporal sentiment analysis of Twitter data / Zhiwen Song and Jianhong (Cecilia) Xia -- Social networks VGI : Twitter sentiment analysis of social hotspots / Dario Stojanovski, Ivan Chorbev, Ivica Dimitrovski, and Gjorgji Madjarov -- Research on social media feeds : a GIScience perspective / Enrico Steiger, Rene Westerholt, and Alexander Zipf -- Changing role of citizens in national environmental monitoring / Juhani Kettunen, Jari Silander, Matti Lindholm, Maiju Lehtiniemi, Outi Setälä, and Seppo Kaitala et al -- On the contribution of volunteered geographic information to land monitoring efforts / Jamal Jokar Arsanjani and Cidália C Fonte -- Discussing the potential of crowdsourced geographic information for urban areas monitoring using the Panoramio initiative / Flavio Lupia and Jacinto Estima -- AtrapaelTigre.com : enlisting citizen-scientists in the war on tiger mosquitoes / Aitana Oltra, John R.B. …”