“…This updated second edition of Mastering Windows Presentation Foundation starts by covering the benefits of using the Model-View-ViewModel (MVVM) software architectural pattern with WPF, before guiding you through debugging your WPF apps. …”

“…10 LED Projects for Geeks is a collection of interactive and customizable projects that all have the humble LED in common, but don’t write them off as basic! …”

Tabla de Contenidos: “…SchedulerActor -- PredictionActor and the prediction step -- TraderActor -- Predicting prices and evaluating the model -- Demo prediction using Scala Play framework -- Why RESTful architecture? -- Project structure -- Running the Scala Play web app -- Summary -- Chapter 4: Population-Scale Clustering and Ethnicity Prediction -- Population scale clustering and geographic ethnicity -- Machine learning for genetic variants -- 1000 Genomes Projects dataset description -- Algorithms, tools, and techniques -- H2O and Sparkling water -- ADAM for large-scale genomics data processing -- Unsupervised machine learning -- Population genomics and clustering -- How does K-means work? …”

Tabla de Contenidos: “…Fundamentals of Assurance for Lean Projects…”

Materias: “…Business presentations…”

“…Raspberry Pi IoT Projects, 2nd Edition provides several IoT projects and designs shown from the start to the finish including an IoT Heartbeat Monitor, an IoT Swarm, IoT Solar Powered Weather Station, an IoT iBeacon Application and a RFID (Radio Frequency Identification) IoT Inventory Tracking System. …”

“…Creative DIY Microcontroller Projects With C…”

“…Updated for 2021, this edition includes brand new content on XGBoost, SHAP values, algorithmic fairness, and the ethical concerns of deploying a model in the real world.By the end of this data science book, you'll have the skills, understanding, and confidence to build your own machine learning models and gain insights from real data.What you will learnLoad, explore, and process data using the pandas Python packageUse Matplotlib to create compelling data visualizationsImplement predictive machine learning models with scikit-learnUse lasso and ridge regression to reduce model overfittingEvaluate random forest and logistic regression model performanceDeliver business insights by presenting clear, convincing conclusionsWho this book is forData Science Projects with Python - Second Edition is for anyone who wants to get started with data science and machine learning. …”

Tabla de Contenidos: “…-- Summary -- Chapter 2: Content, Objects, and Scale -- Getting started with Unity -- Creating a new Unity project -- The Unity editor -- The default world space -- Creating a simple diorama -- Adding a cube -- Adding a plane -- Adding a sphere and some material -- Changing the scene view -- Adding a photo -- Coloring the ground plane -- Measurement tools -- Keeping a unit cube handy -- Using a Grid Projector -- Measuring the Ethan character -- Using third-party content -- Creating 3D content with Blender -- An introduction to Blender -- A unit cube -- UV Texture image -- Importing into Unity -- A few observations -- Creating 3D content in VR -- Exporting and importing Tilt Brush models -- Publishing and importing using Google Poly -- Editing Unity in VR with EditorXR -- Setting up EditorXR -- Using EditorXR -- Summary -- Chapter 3: VR Build and Run -- Unity VR Support and Toolkits -- Unity's built-in VR support -- Device-specific toolkits -- Application toolkits -- Web and JavaScript-based VR -- 3D worlds -- Enabling Virtual Reality for your platform -- Setting your target platform -- Setting your XR SDK -- Installing your device toolkit -- Creating the MeMyselfEye player prefab -- Building for SteamVR -- Building for Oculus Rift -- Building for Windows Immersive MR -- Setting up Windows 10 Developer mode…”

“…Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. …”

“…Lastly, you'll learn how to choose the most appropriate machine learning algorithms to use for your projects with the help of a facial detection project. …”

“…A practical project-based guide to help you build and control your IoT projects Key Features Leverage the full potential of IoT with the combination of Raspberry Pi 3 and Python Build complex Python-based applications with IoT Work on various IoT projects and understand the basics of electronics Book Description The Internet of Things (IOT) has managed to attract the attention of researchers and tech enthusiasts, since it powerfully combines classical networks with instruments and devices. …”

“…"This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python.The book covers detailed implementation of projects from all the core disciplines of AI. …”

“…Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x Key Features Experimental projects showcasing the implementation of high-performance deep learning models with Keras. …”

“…Explore various Generative Adversarial Network architectures using the Python ecosystem Key Features Use different datasets to build advanced projects in the Generative Adversarial Network domain Implement projects ranging from generating 3D shapes to a face aging application Explore the power of GANs to contribute in open source research and projects Book Description Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. …”

Tabla de Contenidos: “…Preparing to present -- pt. 4. Presenting with confidence -- pt. 5. …”

“…Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. …”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Master Excel Through Projects -- Why Learn Through Projects -- Cell Reference and Formula -- Formula -- Cell Reference in Formulas -- Experiment -- Excel Options and Show Formulas -- Autofill or Copy -- Experiment 1 -- Experiment 2 -- Experiment 3 -- Functions to Learn -- SUM, AVERAGE, MAX, MIN, and COUNT -- CHAR and CODE -- MID -- RANDBETWEEN -- LOOKUP -- Experiment 1 -- Experiment 2 -- Experiment 3 -- IF -- IFERROR -- Autofill Formulas -- Relative Cell Reference -- Absolute Cell Reference -- Work on the Project -- Chapter Tip -- Review Points -- Chapter 2: Food Nutrition Ranking -- Functions to Learn -- IF -- ISBLANK -- AND, OR -- VLOOKUP -- Work on the Project -- Name Manager and Data Validation -- Instructions to Complete the Project -- Chapter Tip -- Review Points -- Chapter 3: Payroll Calculation -- Functions to Learn -- ROUND -- SUBSTITUTE -- INDEX -- MATCH -- Experiment 1 -- Experiment 2 -- Experiment 3 -- INDIRECT -- Work on Project 1 -- Federal Tax Withholding Explanation and Worksheet Setup -- Instructions to Complete Project 1 -- Work on Project 2 -- Table Setup and Naming -- Instructions to Complete Project 2 -- Chapter Tip -- Review Points -- Chapter 4: Public and Private Key Cryptography -- Functions to Learn -- CONCATENATE and the &amp -- Operator -- LEN and INT -- MOD and Its Use in Encryption -- QUOTIENT and GCD -- COUNTIF -- Knowledge to Learn -- Work on the Project -- Chapter Tip -- Review Points -- Chapter 5: Two-Way Table and Chi-Square Test -- Functions to Learn -- ISERROR -- ADDRESS -- Work on the Project -- Chapter Tip -- Review Points -- Chapter 6: Kaplan-Meier Analysis -- Functions to Learn -- MEDIAN -- COUNTIFS -- Work on the Project -- Chapter Tip -- Review Points…”