Tabla de Contenidos: “…. -- There's more... -- Representing atoms -- How to do it... -- How it works... -- Drawing molecular orbital diagrams and atomic orbitals -- How to do it... -- How it works... -- There's more... -- Printing a customized periodic table of elements -- How to do it... -- How it works... -- Drawing electrical circuits -- How to do it... -- How it works... -- See also -- Chapter 12: Getting Support on the Internet -- Exploring available LaTeX resources on the web -- How to do it... -- There's more... -- Utilizing web forums effectively -- How to do it... -- How it works... -- Crafting high-quality questions -- How to do it... -- Generating minimal working examples -- How to do it... -- There's more... -- Chapter 13: Using Artificial Intelligence with LaTeX -- Getting started with ChatGPT -- How to do it... -- How it works... -- There's more... -- Getting answers to LaTeX questions -- How to do it... -- How it works... -- Improving your content -- How to do it... -- How it works... -- There's more... -- Generating code -- How to do it... -- How it works... -- There's more... -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Performing Functional Data Manipulation -- Slicing and dicing -- Mapping your data -- Filtering data -- Organizing data -- Chapter 3 Working with Scalars, Vectors, and Matrices -- Considering the Data Forms -- Defining Data Type through Scalars -- Creating Organized Data with Vectors -- Defining a vector -- Creating vectors of a specific type -- Performing math on vectors -- Performing logical and comparison tasks on vectors -- Multiplying vectors -- Creating and Using Matrices -- Creating a matrix -- Creating matrices of a specific type -- Using the matrix class -- Performing matrix multiplication -- Executing advanced matrix operations -- Extending Analysis to Tensors -- Using Vectorization Effectively -- Selecting and Shaping Data -- Slicing rows -- Slicing columns -- Dicing -- Concatenating -- Aggregating -- Working with Trees -- Understanding the basics of trees -- Building a tree -- Representing Relations in a Graph -- Going beyond trees -- Arranging graphs -- Chapter 4 Accessing Data in Files -- Understanding Flat File Data Sources -- Working with Positional Data Files -- Accessing Data in CSV Files -- Working with a simple CSV file -- Making use of header information -- Moving On to XML Files -- Working with a simple XML file -- Parsing XML -- Using XPath for data extraction -- Considering Other Flat-File Data Sources -- Working with Nontext Data -- Downloading Online Datasets -- Working with package datasets -- Using public domain datasets -- Chapter 5 Working with a Relational DBMS -- Considering RDBMS Issues -- Defining the use of tables -- Understanding keys and indexes -- Using local versus online databases -- Working in read-only mode -- Accessing the RDBMS Data -- Using the SQL language -- Relying on scripts -- Relying on views -- Relying on functions -- Creating a Dataset -- Combining data from multiple tables…”

Tabla de Contenidos: “…-- Creating the invoice -- Summary -- Chapter 3: Exploring CRM in Odoo 11 -- Using CRM as a business strategy -- Managing the customer experience -- Treating your customer like a real person -- Using your mission statements and company goals to drive the design of your CRM system -- Real-world case study - improving customer experience -- Installing the CRM application -- Your first look at the CRM Dashboard -- Assigning the sales representative or account manager…”

Tabla de Contenidos: “…Producing Twitter credentials -- Configuring Twitter credentials in application.yaml -- Modelling objects to represent Twitter settings -- Twittertoken -- TwitterAppSettings -- Declaring Twitter credentials for the Spring container -- Spring reactive web clients -- Producing WebClient in a Spring Way -- Creating the models to gather Tweets -- Authentication with Twitter APIs -- Some words about server-sent events (SSE) -- Creating the gather service -- Listening to the Rabbit Queue and consuming the Twitter API -- Changing the Tracked Hashtag Service -- Adding the Spring Starter RabbitMQ dependency -- Configuring the RabbitMQ connections -- Creating exchanges, queues, and bindings for the Twitter Hashtag Service -- Sending the messages to the broker -- Testing the microservice's integrations -- Running Tracked Hashtag Service -- Running the Twitter Gathering -- Testing stuff -- Spring Actuator -- Adding Spring Boot Actuator in our pom.xml -- Actuator Endpoints -- Application custom information -- Testing endpoints -- Summary -- Chapter 6: Playing with Server-Sent Events -- Creating the Tweet Dispatcher project -- Using Spring Initializr once again -- Additional dependencies -- Server-Sent Events -- A few words about the HTTP protocol -- HTTP and persistent connections -- WebSockets -- Server-Sent Events -- Reactor RabbitMQ -- Understanding the Reactor RabbitMQ -- Configuring RabbitMQ Reactor beans -- Consuming the RabbitMQ queues reactively -- Filtering streams -- Dockerizing the whole solution -- Tweet Gathering -- Tweet Dispatcher -- Running the containerized solution -- Running the Tracked Hashtag Service container -- Running the Tweet Gathering container -- Running the Tweet Dispatcher container -- The docker-compose tool -- Installing docker-compose -- Creating a docker-compose file -- Running the solution -- Testing the network -- Summary…”

Tabla de Contenidos: “…A simplified explanation of the Android lifecycle -- Lifecycle phases - what we need to know -- Lifecycle phases - what we need to do -- Using the activity lifecycle to start and stop the thread -- Coding the run method -- Running the game -- Summary -- Chapter 10: Coding the Bat and Ball -- The Ball class -- Communicating with the game engine -- Representing rectangles and squares with RectF -- Coding the variables -- Coding the Ball constructor -- Coding the RectF getter method -- Coding the Ball update method -- Coding the Ball helper methods -- Coding a realistic-ish bounce -- Using the Ball class -- The Bat class -- Coding the Bat variables -- Coding the Bat constructor -- Coding the Bat helper methods -- Coding the Bat's update method -- Using the Bat class -- Coding the Bat input handling -- Running the game -- Summary -- Chapter 11: Collisions, Sound Effects, and Supporting Different Versions of Android -- Handling collisions -- Collision detection options -- Optimizing the detection methods -- Best options for Pong -- The RectF intersects method -- Handling different versions of Android -- Detecting the current Android version -- The SoundPool class -- Initializing SoundPool the new way -- Generating sound effects -- Adding sound to the Pong game -- Adding the sound variables -- Initializing the SoundPool -- Coding the collision detection and playing sounds -- The bat and the ball -- The four walls -- Playing the game -- Summary -- Chapter 12: Handling Lots of Data with Arrays -- Planning the project -- Starting the project -- Refactoring MainActivity to BulletHellActivity -- Locking the game to full-screen and landscape orientation -- Amending the code to use the full screen and the best Android class -- Creating the classes -- Reusing the Pong engine -- Coding the BulletHellActivity class -- Coding the BulletHellGame class…”

Tabla de Contenidos: “…-- Discover a world of opportunities with Google Translate -- Getting started -- The program -- The header -- Implementing Google's translation service -- Google Translate from a linguist's perspective -- Playing with the tool -- Linguistic assessment of Google Translate -- Lexical field theory -- Jargon -- Translating is not just translating but interpreting -- How to check a translation -- AI as a new frontier -- Lexical field and polysemy -- Exploring the frontier - the program -- k-nearest neighbor algorithm -- The KNN algorithm -- The knn_polysemy.py program -- Implementing the KNN compressed function in Google_Translate_Customized.py -- Conclusions on the Google Translate customized experiment -- The disruptive revolutionary loop -- Summary -- Questions -- Further reading -- Chapter 9: Getting Your Neurons to Work -- Technical requirements -- Defining a CNN -- Defining a CNN -- Initializing the CNN -- Adding a 2D convolution -- Kernel -- Intuitive approach -- Developers' approach -- Mathematical approach -- Shape -- ReLu -- Pooling -- Next convolution and pooling layer -- Flattening -- Dense layers -- Dense activation functions -- Training a CNN model -- The goal -- Compiling the model -- Loss function -- Quadratic loss function -- Binary cross-entropy -- Adam optimizer -- Metrics -- Training dataset -- Data augmentation -- Loading the data -- Testing dataset -- Data augmentation -- Loading the data -- Training with the classifier -- Saving the model -- Next steps -- Summary -- Questions -- Further reading and references -- Chapter 10: Applying Biomimicking to Artificial Intelligence -- Technical requirements -- Human biomimicking -- TensorFlow, an open source machine learning framework -- Does deep learning represent our brain or our mind? -- A TensorBoard representation of our mind -- Input data…”

Tabla de Contenidos: “…Zanini  -- EURISOL compact liquid metal converter target: Representative prototype design and tests by R.Ž. Milenkovi c′ , K. …”

Tabla de Contenidos: “…-- How Brands Add Value -- Brands Shape Perceptions -- Brands Differentiate Products and Services -- Brands Attract and Retain Employees -- The Modern Challenge for Branding -- Challenge 1: Cash -- Challenge 2: Consistency -- Challenge 3: Clutter -- Summary -- Notes -- SECTION ONE Thinking Strategically about Your Brand -- Chapter 1 Brand Positioning: The Foundation for Building a Strong Brand -- The Brand Positioning Statement -- Target -- Frame of Reference -- Points of Difference and Reasons to Believe -- Representing a Point of Difference in Terms of Value -- Orchestrating the Frame of Reference and Point of Difference -- Testing Your Brand Positioning Statement -- Sustaining a Brand Position -- Modern Instantiation -- Switching from Attribute to Image Reasons to Believe -- Laddering -- Brand Purpose -- Repositioning a Brand -- Summary -- Notes -- Chapter 2 Leveraging the Power of Brand Purpose -- The Case for Purpose -- The Business Case for Purpose -- The Purpose Perfect Storm -- The Purpose Path to Growth Model -- Keys to Making the Model Work -- Common Understanding of the Case for Purpose -- Shared Leadership and Advocacy -- Top-Down and Bottom-Up Engagement -- Integrate. …”

Tabla de Contenidos: “…-- Dijkstra's algorithm -- The A* algorithm -- A breakdown of A* -- Representing a level as nodes -- The open and closed list -- The H, G, and F costs -- The H value -- The G value -- The F value -- The Manhattan distance -- Parenting nodes -- The pseudo-algorithm -- Coding the A* pathfinding algorithm -- The Tile datatype -- Creating supporting functions -- The Level class -- The Enemy class -- Variable declarations -- Precalculating the H values -- Defining the main loop -- Finding the adjacent nodes -- Calculating the G and F costs -- Calculating the G and F cost -- Checking for superior paths -- Creating the final path -- Implementing A* in the game -- Enabling the enemy to follow a path -- Calling the pathfinding behavior -- Viewing our path -- Procedurally generated level goals -- The variable and function declarations -- Generating a random goal -- Checking whether a goal is complete -- Drawing the goal on the screen -- Exercises -- Summary -- Chapter 9: Procedural Dungeon Generation -- The benefits of procedural level design -- Replayability -- A reduction in development time -- Larger game worlds -- Considerations -- A lack of control -- Required computing power -- Suitability -- An overview of dungeon generation overview -- Generating rooms -- Generating a maze -- Connecting rooms and mazes -- The recursive backtracker -- Procedurally generating a dungeon -- Changing how we view the maze -- Updating the Game and Level classes -- Generating a maze -- Preparing before the generation of a maze -- Carving passages -- Adding rooms -- Choosing the tile textures -- The if/else approach -- Bitwise tile maps -- Calculating the tile values -- Mapping the tile value to textures -- Calculating tile textures -- Creating unique floor themes -- Adding entry and exit points -- Setting a player's spawn location…”

Tabla de Contenidos: “…Considering the Art of Feature Creation -- Defining feature creation -- Combining variables -- Understanding binning and discretization -- Using indicator variables -- Transforming distributions -- Performing Operations on Arrays -- Using vectorization -- Performing simple arithmetic on vectors and matrices -- Performing matrix vector multiplication -- Performing matrix multiplication -- Part 3 Visualizing Information -- Chapter 10 Getting a Crash Course in MatPlotLib -- Starting with a Graph -- Defining the plot -- Drawing multiple lines and plots -- Saving your work to disk -- Setting the Axis, Ticks, Grids -- Getting the axes -- Formatting the axes -- Adding grids -- Defining the Line Appearance -- Working with line styles -- Using colors -- Adding markers -- Using Labels, Annotations, and Legends -- Adding labels -- Annotating the chart -- Creating a legend -- Chapter 11 Visualizing the Data -- Choosing the Right Graph -- Showing parts of a whole with pie charts -- Creating comparisons with bar charts -- Showing distributions using histograms -- Depicting groups using boxplots -- Seeing data patterns using scatterplots -- Creating Advanced Scatterplots -- Depicting groups -- Showing correlations -- Plotting Time Series -- Representing time on axes -- Plotting trends over time -- Plotting Geographical Data -- Using an environment in Notebook -- Getting the Basemap toolkit -- Dealing with deprecated library issues -- Using Basemap to plot geographic data -- Visualizing Graphs -- Developing undirected graphs -- Developing directed graphs -- Part 4 Wrangling Data -- Chapter 12 Stretching Python's Capabilities -- Playing with Scikit-learn -- Understanding classes in Scikit-learn -- Defining applications for data science -- Performing the Hashing Trick -- Using hash functions -- Demonstrating the hashing trick -- Working with deterministic selection…”

Tabla de Contenidos: “…-- Checking Out Electric Current -- Exploring an atom -- Getting a charge out of protons and electrons -- Identifying conductors and insulators -- Mobilizing electrons to create current -- Understanding Voltage -- Let the force be with you -- Why voltage needs to be different -- Putting Electrical Energy to Work -- Tapping into electrical energy -- Working electrons deliver power -- Using Circuits to Make Sure Electrons Arrive at Their Destination -- Supplying Electrical Energy -- Getting direct current from a battery -- Using alternating current from a power plant -- Transforming light into electricity -- Using symbols to represent energy sources -- Marveling at What Electrons Can Do -- Creating good vibrations -- Seeing is believing -- Sensing and alarming -- Controlling motion -- Computing -- Voice, video, and data communications -- Chapter 2 Gearing Up to Explore Electronics -- Getting the Tools You Need -- Stocking Up on Essential Supplies -- Getting Ready to Rumble -- Using a Solderless Breadboard -- Chapter 3 Running Around in Circuits -- Comparing Closed, Open, and Short Circuits -- Understanding Conventional Current Flow -- Examining a Basic Circuit -- Building the basic LED circuit -- Examining voltages -- Measuring current -- Calculating power -- Chapter 4 Making Connections -- Creating Series and Parallel Circuits -- Series connections -- Parallel connections -- Switching Electric Current On and Off -- Controlling the action of a switch -- Making the right contacts -- Creating a Combination Circuit -- Switching On the Power…”

Tabla de Contenidos: “…Setting up the software and connecting -- Troubleshooting -- Calibrating and getting readings -- Calibration code -- The calibration process -- Always face North behavior -- CircuitPython code for the face North behavior -- Troubleshooting -- Making a known turn behavior -- Summary -- Exercises -- Further reading -- Chapter 13: Determining Position Using Monte Carlo Localization -- Technical requirements -- Creating a training area for our robot -- What we will make -- How we will make the arena -- Tips for cutting -- Modeling the space -- Representing the arena and robot position as numbers -- Serving the arena from the robot -- The Bleak library -- Creating a Bluetooth LE wrapper library -- Showing the robot's data on the computer screen -- Using sensors to track relative pose -- Setting up poses -- Displaying poses -- Moving with collision avoidance -- Moving poses with the encoders -- Pose movement probabilities -- Monte Carlo localization -- Generating pose weights from a position -- Resampling the poses -- Incorporating distance sensors -- Tuning and improving the Monte Carlo model -- Summary -- Exercises -- Further reading -- Chapter 14: Continuing Your Journey - Your Next Robot -- Technical requirements -- A summary of what you have learned in this book -- Basic robotics with Raspberry Pi Pico -- Extending a Raspberry Pi Pico robot with sensors -- Writing CircuitPython behavior code for Raspberry Pi Pico -- Planning to extend this robot -- Sensors you could add -- Interacting with the robot -- Chassis and form enhancements -- Electronics enhancements -- Outputs you could add -- Extending the code and behaviors -- Planning your next robot -- Form, shape, and chassis -- Electronics and sensors -- Code and behavior -- Further suggested areas to learn about -- Electronics -- Design and manufacturing -- Robotic competitions and communities…”

Tabla de Contenidos: “…-- The role of individuals in multi-speed -- Understanding multi-speed banking in a DevOps adoption context -- Understanding your state-of-art DevOps context -- Why examining your state-of-art DevOps context is vital -- Once upon a time in Berlin -- Why industry imitation is decisive in shaping DevOps adoptions -- Are there several DevOps "states of the art" within an incumbent's context? -- What does a representative state of art DevOps adoption look like for an incumbent bank? …”

Tabla de Contenidos: “…-- What the C-K approach means -- Representing dualistically (polarizing two spaces) and operating Arte (playing the C-K design square) -- Elaborating solid bodies of knowledge (or cognitive processes ever) -- Formulating root concepts (cognition - or plotting the undecidable) -- The story behind the creation of Sunflower iMac: Jobs, Ive and the sunflower in the garden -- A3.4. …”

Tabla de Contenidos: “…The interface between the engine and the data warehouse -- The data mining algorithms -- User interface -- Clarity -- Clarity and mystery -- Clarity and simplicity -- Efficiency -- Consistency -- Syntax highlight -- Auto-completion -- How to build a data mining architecture in R -- Data sources -- The data warehouse -- The data mining engine -- The interface between the engine and the data warehouse -- The data mining algorithms -- The user interface -- Further references -- Summary -- Chapter 5: How to Address a Data Mining Problem - Data Cleaning and Validation -- On a quiet day -- Data cleaning -- Tidy data -- Analysing the structure of our data -- The str function -- The describe function -- head, tail, and View functions -- Evaluating your data tidiness -- Every row is a record -- Every column shows an attribute -- Every table represents an observational unit -- Tidying our data -- The tidyr package -- Long versus wide data -- The spread function -- The gather function -- The separate function -- Applying tidyr to our dataset -- Validating our data -- Fitness for use -- Conformance to standards -- Data quality controls -- Consistency checks -- Data type checks -- Logical checks -- Domain checks -- Uniqueness checks -- Performing data validation on our data -- Data type checks with str() -- Domain checks -- The final touch - data merging -- left_join function -- moving beyond left_join -- Further references -- Summary -- Chapter 6: Looking into Your Data Eyes - Exploratory Data Analysis -- Introducing summary EDA -- Describing the population distribution -- Quartiles and Median -- Mean -- The mean and phenomenon going on within sub populations -- The mean being biased by outlier values -- Computing the mean of our population -- Variance -- Standard deviation -- Skewness -- Measuring the relationship between variables -- Correlation…”

Tabla de Contenidos: “…-- Using particle effects to represent an attack -- Creating the materials for the particle effects -- Adding the particles -- Displaying the particles upon attack -- Finishing up the battle -- Going further -- Summary -- Chapter 11: Shopping for Items -- Why do we shop? …”

Tabla de Contenidos: “…Using tags to add metadata to structs -- Many operations with a single handler -- Reading polls -- Creating a poll -- Deleting a poll -- CORS support -- Testing our API using curl -- A web client that consumes the API -- Index page showing a list of polls -- Creating a new poll -- Showing the details of a poll -- Running the solution -- Summary -- Chapter 7: Random Recommendations Web Service -- The project overview -- Project design specifics -- Representing data in code -- Public views of Go structs -- Generating random recommendations -- The Google Places API key -- Enumerators in Go -- Test-driven enumerator -- Querying the Google Places API -- Building recommendations -- Handlers that use query parameters -- CORS -- Testing our API -- Web application -- Summary -- Chapter 8: Filesystem Backup -- Solution design -- The project structure -- The backup package -- Considering obvious interfaces first -- Testing interfaces by implementing them -- Has the filesystem changed? …”

Tabla de Contenidos: “…-- Evaluating More Difficult Integrals -- Integrating polynomials -- Integrating more complicated-looking functions -- Understanding Integrability -- Taking a look at two red herrings of integrability -- Computing integrals -- Representing integrals as elementary functions -- Getting an idea of what integrable really means -- Chapter 7 Sharpening Your Integration Moves -- Integrating Rational and Radical Functions -- Integrating simple rational functions -- Integrating radical functions -- Using Algebra to Integrate Using the Power Rule -- Integrating by using inverse trig functions -- Integrating Trig Functions -- Recalling how to anti-differentiate the six basic trig functions -- Using the Basic Five trig identities -- Applying the Pythagorean trig identities -- Using to integrate trig functions -- Using to integrate trig functions -- Using to integrate trig functions -- Integrating Compositions of Functions with Linear Inputs -- Understanding how to integrate familiar functions that have linear inputs -- Integrating the function composed with a linear input -- Integrating the six basic trig functions with linear inputs -- Integrating power functions composed with a linear input -- Knowing the handy arctan formula -- Using algebra to solve more complex problems -- Using trig identities to integrate more complex functions -- Understanding why integrating compositions of functions with linear inputs actually works…”

Tabla de Contenidos: “…-- Adding the node class -- Filling the skeleton tree in the Gltf model class -- The inverse bind matrices and the binding pose -- How (not) to apply a skin to a skeleton -- Naive model skinning -- Vertex skinning in glTF -- Connecting joints and nodes -- Joints and weights for the vertices -- Creating the joint transformation matrices -- Applying vertex skinning -- Implementing GPU-based skinning -- Moving the joints and weights to the vertex shader -- Getting rid of the UBO fixed array size -- Identifying linear skinning problems -- The dual quaternion -- Using dual quaternions as data storage -- Dual quaternions in GLM -- Adding dual quaternions to the glTF model -- Adding a dual quaternion shader -- Adjusting the renderer -- Summary -- Practical sessions -- Additional resources -- Chapter 10: About Poses, Frames, and Clips -- Technical requirements -- A brief overview of animations -- What is a pose and how do we represent it? -- From a single frame to an entire animation clip -- Pouring the knowledge into C++ classes -- Storing the channel data in a class -- Adding the class for the animation clips -- Loading the animation data from the glTF model file -- Adding new control variables for the animations -- Managing the animations in the user interface…”

Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Section 1: Fundamentals of Deep Learning for Computer Vision -- Chapter 1: Artificial Neural Network Fundamentals -- Comparing AI and traditional machine learning -- Learning about the ANN building blocks -- Implementing feedforward propagation -- Calculating the hidden layer unit values -- Applying the activation function -- Calculating the output layer values -- Calculating loss values -- Calculating loss during continuous variable prediction -- Calculating loss during categorical variable prediction -- Feedforward propagation in code -- Activation functions in code -- Loss functions in code -- Implementing backpropagation -- Gradient descent in code -- Implementing backpropagation using the chain rule -- Putting feedforward propagation and backpropagation together -- Understanding the impact of the learning rate -- Learning rate of 0.01 -- Learning rate of 0.1 -- Learning rate of 1 -- Summarizing the training process of a neural network -- Summary -- Questions -- Chapter 2: PyTorch Fundamentals -- Installing PyTorch -- PyTorch tensors -- Initializing a tensor -- Operations on tensors -- Auto gradients of tensor objects -- Advantages of PyTorch's tensors over NumPy's ndarrays -- Building a neural network using PyTorch -- Dataset, DataLoader, and batch size -- Predicting on new data points -- Implementing a custom loss function -- Fetching the values of intermediate layers -- Using a sequential method to build a neural network -- Saving and loading a PyTorch model -- Using state_dict -- Saving -- Loading -- Summary -- Questions -- Chapter 3: Building a Deep Neural Network with PyTorch -- Representing an image -- Converting images into structured arrays and scalars -- Creating a structured array for colored images -- Why leverage neural networks for image analysis?…”