Tabla de Contenidos: “…6.5 Track Status Display6.6 Working in Session View; 6.7 Sessions into Arrangements; 6.8 Musical concepts; Scene 7 Clips; 7.1 Musical building blocks; 7.2 Clip View; 7.3 Clip Box; 7.4 Launch Box; 7.5 Sample Box; 7.6 Notes Box; 7.7 MIDI Note Editor; 7.8 Envelope Box; 7.9 Envelope Editor; 7.10 Musical concepts; Scene 8 Groove; 8.1 Introduction to groove; 8.2 Grooves; 8.3 Groove Pool; 8.4 Commit groove; 8.5 Extract groove; 8.6 Musical concepts; Scene 9 Recording; 9.1 Recording MIDI clips; 9.2 MIDI overdub recording; 9.3 Freezing and converting MIDI clips into audio clips…”

Tabla de Contenidos: “…-- Tableau User Interface -- The Data Window -- Shelves and Cards -- Basic Tableau Design Flow -- Chapter 2: Basic Visualization Design -- Using Show Me -- Choosing Mark Types -- Color, Size, Shape, and Label Options -- Choosing Color Options -- Setting Mark Size -- Choosing Shapes -- Text Tables and Mark Labels -- Formatting Options -- Evaluating Multiple Measures -- Shared Axis Charts -- Dual Axis Charts -- Chapter 3: Data Connection Details -- Connecting to Various Data Sources -- Adding and Joining Multiple Tables from the Same Database -- Customizing Your View of the Data -- Modifying Tableau's Default Field Assignments -- Hiding, Renaming, and Combining Fields -- Changing Default Field Appearance -- Using Hierarchies, Groups, and Sets -- Saving and Sharing Metadata -- Extracting Data -- Data Blending -- Moving from Test to Production Databases -- Chapter 4: Top 10 Chart Types -- Bar Chart -- Line/Area Chart -- Tableau 8 Forecasting -- Pie Chart -- Text Table/Crosstab -- Scatter Plot -- Bubble Chart -- Bullet Graph -- Box Plot -- Tree Map -- Word Cloud -- Chapter 5: Interacting with the Viewer -- Filtering Data -- Basic Filtering -- Interactive Filtering -- Quick Filters -- Parameters -- Creating a Parameter -- Displaying a Parameter -- Using a Parameter in a Worksheet -- Worksheet Actions -- Filter Actions -- Highlight Actions -- URL Actions -- Chapter 6: Tableau Maps -- Geocoded Fields -- Geographic Hierarchies and Ambiguity -- Custom Geocoding -- Background Maps and Layers -- Map Options -- Web Map Services -- Mapping and Mark Types -- Custom Background Images -- Generating Your Own Coordinate System -- Adding a Custom Background Image…”

Tabla de Contenidos:

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started on the Raspberry Pi -- The Internet of Things -- A brief look at our application -- The sensor interface - perception -- The database - persistence -- The user interface - presentation -- The application server - middleware -- Setting up our Raspberry Pi -- Remote access -- Summary -- Chapter 2: Getting Up-and-Running with Web Development on the Raspberry Pi -- The network -- The web development stack -- The UI - the user's first encounter -- The server - the brains of the application -- Client-server communication -- Interfacing with external hardware -- The database - adding persistence to our data -- Integrating the database into our application -- The overall architecture -- Summary -- Chapter 3: Running a Node Server on the Pi -- Introducing nodes - the server side JavaScript runtime -- Installing node on the Pi -- Running our first node program -- Setting up a version control system -- Back to our program -- Installing external libraries -- Developing the application server -- Adding routes to the server -- Starting up the server -- Keeping the server running in the background -- Summary -- Chapter 4: Extracting Information from the GPIO Pins -- The GPIO pins on the Pi -- The pin as a standalone component -- The Write mode -- The Read mode -- Fine-tuning our control - using the GPIO command-line tools -- The DHT11 sensor -- Reading from the sensor -- Summary -- Chapter 5: Retrieving Sensor Readings from the Server -- Understanding how our node process takes readings -- Modifying our server code to show sensor readings -- Optimizing our server -- Abstracting our sensor library code -- Caching our results -- Summary…”

Tabla de Contenidos: “…Other Printing Software; 4.6. Extracting the First and Last Lines; 4.7. Summary; 5. …”

Tabla de Contenidos: “…Add an Event Reminder -- Chapter 6 Performing Day‐to‐Day Tasks with Apps -- Search Your PC -- Write a Note -- Make a To‐Do List -- Configure Skype -- Call Someone Using Skype -- Display a Location on a Map -- Get Directions to a Location -- Check Your Weather Forecast -- Check Another City's Weather Forecast -- Chapter 7 Working with Images -- Import Images from a Digital Camera -- Scan an Image -- Navigate the Pictures Folder -- View Your Images -- Start a Slideshow -- Set an Image as the Desktop Background -- Repair an Image -- Add a Photo Effect -- Crop an Image -- Rotate an Image -- Delete an Image -- Chapter 8 Working with Multimedia -- Import Videos from a Digital Camera -- Navigate the Videos Folder -- Watch a Video -- Edit a Video -- Make a Movie -- Play a Music CD -- Copy Tracks from a Music CD -- Navigate the Music Folder -- Play Music -- Create a Playlist -- Chapter 9 Editing Documents -- Create and Save a Document -- Open a Document -- Change the Text Font -- Find Text -- Replace Text -- Insert Special Symbols -- Make a Copy of a Document -- Create a OneNote Notebook -- Add Pages and Sections to a Notebook -- Add Text Notes -- Add an Image to a Notebook Page -- Work with Notebook Lists -- Chapter 10 Working with Files -- Select a File -- Change the File View -- Preview a File -- Copy a File -- Move a File -- Rename a File -- Create a New File -- Delete a File -- Restore a Deleted File -- Add a File to Your OneDrive -- Extract Files from a Compressed Folder -- Chapter 11 Implementing Security -- Understanding Windows Security -- Check for Security Problems -- Create a Picture Password -- Sign In with a PIN -- Set Up a Fingerprint Sign‐In -- Lock Your Computer -- Configure Your PC to Lock Automatically -- Browse the Web Privately -- Chapter 12 Making Windows More Accessible -- Increase the Text Size -- Magnify Screen Areas…”

Tabla de Contenidos: “…. -- Antibacterial Effect of Functionalized Polymeric Nanoparticles on Titanium Surfaces Using an -- In Vitro Subgingival Biofilm Model -- Reprinted from: Polymers 2022, 14, 358, doi:10.3390/polym14030358 157 -- Rajangam Vinodh, Raji Atchudan, Hee-Je Kim and Moonsuk Yi -- Recent Advancements in Polysulfone Based Membranes for Fuel Cell (PEMFCs, DMFCs and -- AMFCs) Applications: A Critical Review -- Reprinted from: Polymers 2022, 14, 300, doi:10.3390/polym14020300 173 -- Rijuta Ganesh Saratale, Ganesh Dattatraya Saratale, Somin Ahn and Han-Seung Shin -- Grape Pomace Extracted Tannin for Green Synthesis of Silver Nanoparticles: Assessment of -- Their Antidiabetic, Antioxidant Potential and Antimicrobial Activity -- Reprinted from: Polymers 2021, 13, 4355, doi:10.3390/polym13244355 195 -- Mohd Shahrul Nizam Salleh, Roshafima Rasit Ali, Kamyar Shameli, Mohd Yusof Hamzah, -- Rafiziana Md Kasmani and Mohamed Mahmoud Nasef -- Interaction Insight of Pullulan-Mediated Gamma-Irradiated Silver Nanoparticle Synthesis and -- Its Antibacterial Activity -- Reprinted from: Polymers 2021, 13, 3578, doi:10.3390/polym13203578 211 -- Deivasigamani Ranjith Kumar, Kuppusamy Rajesh, Mostafa Saad Sayed, Ahamed Milton -- and Jae-Jin Shim -- Development of Polydiphenylamine@Electrochemically Reduced Graphene Oxide Electrode -- for the D-Penicillamine Sensor from Human Blood Serum Samples Using Amperometry -- Reprinted from: Polymers 2023, 15, 577, doi:10.3390/polym15030577 229.…”

Tabla de Contenidos: “…-- The Mining, Quarrying, Oil and Gas Extraction is a volatile sector that faces labour shortages post-pandemic -- The number of OJPs for the Public Administration sector decreased significantly in 2020 -- OJPs for Transportation and Warehousing sector kept increasing during and after the pandemic -- References -- Notes -- 3 The evolution of growing occupations in online job postings in Alberta -- The fastest-growing occupations that require post-secondary education -- Ageing populations are boosting the demand for Home Health Aides in Alberta and Canada -- Demand for professionals in the logistics and transportation sector was increasing before the pandemic and remains strong…”

Tabla de Contenidos: “…Mans, Priscilla Friperson, Jennifer Pawirodihardjo and Meryll Djotaroeno 32 VIEW ABSTRACT -- 16. Green Extraction Techniques for Phytoconstituents from Natural Products By Bincy Raj, Soosamma John, Venkatesh Chandrakala and Gajula Harini Kumari 107 VIEW ABSTRACT -- 17. …”

Tabla de Contenidos: “…. -- How it works... -- Extracting an IPv6 prefix from an IPv6 address -- How to do it... -- How it works... -- Writing an IPv6 echo client/server -- How to do it... -- How it works... -- Chapter 4: Programming with HTTP for the Internet -- Introduction -- Downloading data from an HTTP server -- How to do it... -- How it works... -- Serving HTTP requests from your machine -- How to do it... -- How it works... -- Extracting cookie information after visiting a website -- How to do it... -- How it works... -- Submitting web forms -- Getting ready -- How to do it... -- How it works…”

Tabla de Contenidos: “…Reading Files in a Single Operation -- PHP Solution 7-1: Getting the Contents of a Text File -- Opening and Closing Files for Read/Write Operations -- Reading a File with fopen() -- PHP Solution 7-2: Extracting Data from a CSV File -- Replacing Content with fopen() -- Appending Content with fopen() -- Locking a File Before Writing -- Preventing Overwriting an Existing File -- Combined Read/Write Operations with fopen() -- Moving the Internal Pointer -- Exploring the File System -- Inspecting a Folder with scandir() -- Inspecting the Contents of a Folder with FilesystemIterator -- Restricting File Types with the RegexIterator -- PHP Solution 7-3: Building a Drop-Down Menu of Files -- PHP Solution 7-4: Creating a Generic File Selector -- Accessing Remote Files -- Consuming News and Other RSS Feeds -- Using SimpleXML -- PHP Solution 7-5: Consuming an RSS News Feed -- Creating a Download Link -- PHP Solution 7-6: Prompting a User to Download an Image -- Chapter Review -- Chapter 8: Working with Arrays -- Modifying Array Elements -- PHP Solution 8-1: Modify Array Elements with a Loop -- PHP Solution 8-2: Modify Array Elements with array_walk() -- PHP Solution 8-3: Modify Array Elements with array_map() -- Merging Arrays -- Using the Array Union Operator -- Using array_merge() and array_merge_recursive() -- Merging Two Indexed Arrays into an Associative Array -- Comparing Arrays -- Removing Duplicate Elements -- PHP Solution 8-4: Joining an Array with Commas -- Sorting Arrays -- PHP Solution 8-5: Custom Sorting with the Spaceship Operator -- Complex Sorting with array_multisort() -- PHP Solution 8-6: Sorting a Multidimensional Array with array_multisort() -- PHP Solution 8-7: Finding All Permutations of an Array -- Processing Array Data -- PHP Solution 8-8: Building Nested Lists Automatically -- PHP Solution 8-9: Extracting Data from JSON -- Automatically Assigning Array Elements to Variables…”

Tabla de Contenidos: “…Nodari -- Automatic visual attributes extraction from web offers images / A. Nodari, I. Gallo & M. …”

Tabla de Contenidos: “…Representing and Mining Text -- Fundamental concepts: The importance of constructing mining-friendly data representations; Representation of text for data mining -- Exemplary techniques: Bag of words representation; TFIDF calculation; N-grams; Stemming; Named entity extraction; Topic models -- Why Text Is Important -- Why Text Is Difficult -- Representation -- Bag of Words -- Term Frequency -- Measuring Sparseness: Inverse Document Frequency -- Combining Them: TFIDF -- Example: Jazz Musicians -- The Relationship of IDF to Entropy -- Beyond Bag of Words -- N-gram Sequences -- Named Entity Extraction -- Topic Models -- Example: Mining News Stories to Predict Stock Price Movement -- The Task -- The Data -- Data Preprocessing -- Results -- Summary -- 11. …”

Tabla de Contenidos: “…License plate validation -- 30. Extracting URL parts -- 31. Transforming dates in strings -- Solutions -- 23. …”

Tabla de Contenidos: “…Implementing a stopwatch -- 78. Extracting the count of milliseconds since midnight -- 79. …”

Tabla de Contenidos: “…The Cancer Genome -- Mechanisms of Genomic Instability -- Epigenetics of Cancer -- Telomeres, Telomerase, and Cancer -- Cell Signaling Growth Factors and Their Receptors -- Cell Cycle -- Mechanisms of Cell Death -- Cancer Metabolism -- Angiogenesis -- Invasion and Metastasis -- Cancer Stem Cells -- Biology of Personalized Cancer Medicine -- Tobacco -- Cancer Susceptibility Syndromes -- DNA Viruses -- RNA Viruses -- Inflammation -- Chemical Factors -- Physical Factors -- Dietary Factors -- Obesity and Physical Activity -- Epidemiologic Methods -- Global Cancer Incidence and Mortality -- Trends in Cancer Mortality -- Surgical Oncology: General Issues -- Surgical Oncology: Laparoscopic Surgery -- Radiation Oncology -- Medical Oncology -- Assessment of Clinical Response -- Cancer Immunotherapy -- Health Services Research and Economics of Cancer Care -- Pharmacokinetics and Pharmacodynamics -- Pharmacogenomics -- Alkylating Agents -- Platinum Analogs -- Antimetabolites -- Topoisomerase-Interacting Agents -- Antimicrotubule Agents -- Targeted Therapy with Small Molecule Kinase Inhibitors -- Histone Deacetylase Inhibitors and Demethylating Agents -- Proteasome Inhibitors -- Poly(ADP-Ribose) Polymerase Inhibitors -- Miscellaneous Chemotherapeutic Agents -- Interferons -- Interleukin Therapy -- Antisense Agents -- Antiangiogenesis Agents -- Monoclonal Antibodies -- Endocrine Manipulation -- Preventive Cancer Vaccines -- Tobacco Dependence and Its Treatment -- Role of Surgery in Cancer Prevention -- Principles of Cancer Risk Reduction Intervention -- Retinoids, Carotenoids, and Other Micronutrients in Cancer Prevention -- Drugs and Nutritional Extracts for Cancer Risk Reduction (Chemoprevention) -- Principles of Cancer Screening -- Early Detection Using Proteomics -- Screening for Gastrointestinal Cancers -- Screening for Gynecologic Cancers -- Screening for Breast Cancer -- Screening for Prostate Cancer -- Screening for Lung Cancer -- Genetic Counseling -- Vascular Access and Specialized Techniques -- Interventional Radiology -- Functional Imaging -- Molecular Imaging --…”
Enlace del recurso

Tabla de Contenidos: “…-- Memory tuning -- Appropriate layer placement -- Building the second CNN by putting everything together -- Dataset description and preprocessing -- Creating the CNN model -- Training and evaluating the network -- Summary -- Chapter 4: Popular CNN Model Architectures -- Introduction to ImageNet -- LeNet -- AlexNet architecture -- Traffic sign classifiers using AlexNet -- VGGNet architecture -- VGG16 image classification code example -- GoogLeNet architecture -- Architecture insights -- Inception module -- ResNet architecture -- Summary -- Chapter 5: Transfer Learning -- Feature extraction approach -- Target dataset is small and is similar to the original training dataset -- Target dataset is small but different from the original training dataset -- Target dataset is large and similar to the original training dataset -- Target dataset is large and different from the original training dataset -- Transfer learning example -- Multi-task learning -- Summary -- Chapter 6: Autoencoders for CNN -- Introducing to autoencoders -- Convolutional autoencoder -- Applications -- An example of compression -- Summary -- Chapter 7: Object Detection and Instance Segmentation with CNN -- The differences between object detection and image classification -- Why is object detection much more challenging than image classification? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- About the Author -- About the Technical Editor -- Acknowledgments -- Contents at a Glance -- Contents -- Introduction -- Who I Am and Why I'm Writing About This Topic -- Who This Book Is For -- Why You Should Learn SQL if You Want to Be a Data Scientist -- What I Hope You Gain from This Book -- Conventions -- Reader Support for This Book -- Companion Download Files -- How to Contact the Publisher -- How to Contact the Author -- Chapter 1 Data Sources -- Data Sources -- Tools for Connecting to Data Sources and Editing SQL -- Relational Databases -- Dimensional Data Warehouses -- Asking Questions About the Data Source -- Introduction to the Farmer's Market Database -- A Note on Machine Learning Dataset Terminology -- Exercises -- Chapter 2 The SELECT Statement -- The SELECT Statement -- The Fundamental Syntax Structure of a SELECT Query -- Selecting Columns and Limiting the Number of Rows Returned -- The ORDER BY Clause: Sorting Results -- Introduction to Simple Inline Calculations -- More Inline Calculation Examples: Rounding -- More Inline Calculation Examples: Concatenating Strings -- Evaluating Query Output -- SELECT Statement Summary -- Exercises Using the Included Database -- Chapter 3 The WHERE Clause -- The WHERE Clause -- Filtering SELECT Statement Results -- Filtering on Multiple Conditions -- Multi-Column Conditional Filtering -- More Ways to Filter -- BETWEEN -- IN -- LIKE -- IS NULL -- A Warning About Null Comparisons -- Filtering Using Subqueries -- Exercises Using the Included Database -- Chapter 4 CASE Statements -- CASE Statement Syntax -- Creating Binary Flags Using CASE -- Grouping or Binning Continuous Values Using CASE -- Categorical Encoding Using CASE -- CASE Statement Summary -- Exercises Using the Included Database -- Chapter 5 SQL JOINs -- Database Relationships and SQL JOINs -- A Common Pitfall when Filtering Joined Data -- JOINs with More than Two Tables -- Exercises Using the Included Database -- Chapter 6 Aggregating Results for Analysis -- GROUP BY Syntax -- Displaying Group Summaries -- Performing Calculations Inside Aggregate Functions -- MIN and MAX -- COUNT and COUNT DISTINCT -- Average -- Filtering with HAVING -- CASE Statements Inside Aggregate Functions -- Exercises Using the Included Database -- Chapter 7 Window Functions and Subqueries -- ROW NUMBER -- RANK and DENSE RANK -- NTILE -- Aggregate Window Functions -- LAG and LEAD -- Exercises Using the Included Database -- Chapter 8 Date and Time Functions -- Setting datetime Field Values -- EXTRACT and DATE_PART -- DATE_ADD and DATE_SUB -- DATEDIFF -- TIMESTAMPDIFF -- Date Functions in Aggregate Summaries and Window Functions -- Exercises -- Chapter 9 Exploratory Data Analysis with SQL -- Demonstrating Exploratory Data Analysis with SQL -- Exploring the Products Table -- Exploring Possible Column Values -- Exploring Changes Over Time -- Exploring Multiple Tables Simultaneously -- Exploring Inventory vs. …”

Tabla de Contenidos: “…Model fitting and evaluation -- Statistical significance of regression outputs -- Generalize estimating equations -- Mixed effects models -- Time series data -- Generalized linear models -- Applying regularization to linear models -- Tree methods -- Decision trees -- Random forest -- Scaling out with PySpark - predicting year of song release -- Summary -- Chapter 5: Putting Data in its Place - Classification Methods and Analysis -- Logistic regression -- Multiclass logistic classifiers: multinomial regression -- Formatting a dataset for classification problems -- Learning pointwise updates with stochastic gradient descent -- Jointly optimizing all parameters with second-order methods -- Fitting the model -- Evaluating classification models -- Strategies for improving classification models -- Separating Nonlinear boundaries with Support vector machines -- Fitting and SVM to the census data -- Boosting: combining small models to improve accuracy -- Gradient boosted decision trees -- Comparing classification methods -- Case study: fitting classifier models in pyspark -- Summary -- Chapter 6: Words and Pixels - Working with Unstructured Data -- Working with textual data -- Cleaning textual data -- Extracting features from textual data -- Using dimensionality reduction to simplify datasets -- Principal component analysis -- Latent Dirichlet Allocation -- Using dimensionality reduction in predictive modeling -- Images -- Cleaning image data -- Thresholding images to highlight objects -- Dimensionality reduction for image analysis -- Case Study: Training a Recommender System in PySpark -- Summary -- Chapter 7: Learning from the Bottom Up - Deep Networks and Unsupervised Features -- Learning patterns with neural networks -- A network of one - the perceptron -- Combining perceptrons - a single-layer neural network -- Parameter fitting with back-propagation…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: A Gentle Introduction to Machine Learning -- Introduction - classic and adaptive machines -- Only learning matters -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Beyond machine learning - deep learning and bio-inspired adaptive systems -- Machine learning and big data -- Further reading -- Summary -- Chapter 2: Important Elements in Machine Learning -- Data formats -- Multiclass strategies -- One-vs-all -- One-vs-one -- Learnability -- Underfitting and overfitting -- Error measures -- PAC learning -- Statistical learning approaches -- MAP learning -- Maximum-likelihood learning -- Elements of information theory -- References -- Summary -- Chapter 3: Feature Selection and Feature Engineering -- scikit-learn toy datasets -- Creating training and test sets -- Managing categorical data -- Managing missing features -- Data scaling and normalization -- Feature selection and filtering -- Principal component analysis -- Non-negative matrix factorization -- Sparse PCA -- Kernel PCA -- Atom extraction and dictionary learning -- References -- Summary -- Chapter 4: Linear Regression -- Linear models -- A bidimensional example -- Linear regression with scikit-learn and higher dimensionality -- Regressor analytic expression -- Ridge, Lasso, and ElasticNet -- Robust regression with random sample consensus -- Polynomial regression -- Isotonic regression -- References -- Summary -- Chapter 5: Logistic Regression -- Linear classification -- Logistic regression -- Implementation and optimizations -- Stochastic gradient descent algorithms -- Finding the optimal hyperparameters through grid search -- Classification metrics -- ROC curve -- Summary -- Chapter 6: Naive Bayes…”