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Advanced Data Analytics Using Python, 2nd Edition
Advanced Data Analytics Using Python, 2nd Edition

Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpa ...
Visual Basic .NET Notes for Professionals
Visual Basic .NET Notes for Professionals

The Visual Basic .NET Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. ...
ASP.NET Core APIs Succinctly
ASP.NET Core APIs Succinctly

APIs are such a critical part of software that "API-first" has become a popular approach to development, one where the API is designed before the app itself is written. Without a well-designed API, your app is isolated from the greater app ecosystem. In ASP.NET Core APIs Succinctly, author Dirk Strauss guides you through designing your own REST API, using it to return and modify data, and versioning it as you continue to develop it. ...
Data Management at Scale, 2nd Edition
Data Management at Scale, 2nd Edition

As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric; Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data produc ...
Design for Learning
Design for Learning

Our purpose in this book is twofold. First, we introduce the basic skill set and knowledge base used by practicing instructional designers. We do this through chapters contributed by experts in the field who have either academic, research-based backgrounds, or practical, on-the-job experience (or both). Our goal is that students in introductory instructional design courses will be able to use this book as a guide for completing a basic instructional design project. We also hope the book is useful as a ready resource for more advanced students or others seeking to develop their instructional design knowledge and skills. Our second purpose complements the first: to introduce instructional designers to some of the most current views on how the practices of design thinking contribute towards the development of effective and engaging learning environments. While some previous books have incorporated elements of design thinking (for example, processes like prototyping), to date no instruc ...
Microsoft Power Platform Enterprise Architecture, 2nd Edition
Microsoft Power Platform Enterprise Architecture, 2nd Edition

This book is for enterprise architects and decision makers who design solutions for complex business requirements. It teaches you how to use architectural best practices and methodologies to optimize an enterprise-grade solution. You'll gain an understanding of the tools available in the Power Platform suite and how to integrate them seamlessly with various Microsoft 365 and Azure components to create a tailor-made solution. Progressing through the book, you'll discover how to address application lifecycle management, security, extensibility, and data migration. This includes Power BI, which often requires a separate approach to the rest of the Power Platform. This book provides you with practical, essential, and concise information. It follows a complete, end-to-end example in every chapter, with diagrams that illustrate the intricacies of Microsoft cloud structure. It has been created by an experienced enterprise architect who actively creates solutions using Microsoft technology. By ...
Expert Data Modeling with Power BI, 2nd Edition
Expert Data Modeling with Power BI, 2nd Edition

This book is a comprehensive guide to understanding the ins and outs of data modeling and how to create full-fledged data models using Power BI confidently. In this new, fully updated edition, you'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. As you advance through the chapters, the book will demonstrate how to prepare efficient data models in the Power Query Editor and use simpler DAX code with new data modeling features. You'll explore how to use the various data modeling and navigation techniques and perform custom calculations using the modeling features with the help of real-world examples. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. Additionally, you'll learn valuable best practices and explore common data modeling complications a ...
Geospatial Analysis with SQL
Geospatial Analysis with SQL

Geospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques. You will begin by exploring the fundamentals of geospatial analysis where you'll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler's second law of geography states, "the phenomenon external to a geographic area of interest affects what goes on inside." This quote will be the framework of the geospatial questions we will explore. You'll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions. By the end of this book, you will ...
3D Environment Design with Blender
3D Environment Design with Blender

Blender is a powerful tool for creating all kinds of visual assets, but with such power comes complexity. Creating a photorealistic 3D scene seems like a Herculean task for more than 90% of 3D designers, but don't be discouraged! 3D Environment Design with Blender will get you up and running. This practical guide helps reduce the complexity of 3D environment design, advance your Blender skills, and produce lifelike scenes and animations in a time-efficient manner. You'll start by learning how to fix the most common mistakes 3D designers make with modeling and scale matching that stop them from achieving photorealism. Next, you'll understand the basics of realistic texturing, efficient unwrapping and achieving photorealistic lighting by turning an actual reference of a wood cabin into a realistic 3D scene. These skills will be used and expanded as you build a realistic 3D environment with natural assets and materials that you'll create from scratch. Once you've developed your natural en ...
Beginner's Guide to Streamlit with Python
Beginner's Guide to Streamlit with Python

This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As you'll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for data science and machine learning models. Beginner's Guide to Streamlit with Python begins with the basics of Streamlit by demonstrating how to build a basic application and advances to visualization techniques and their features. Next, it covers the various aspects of a typical Streamlit web application, and explains how to manage flow control and status elements. You'll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, you'll see how to deploy Streamlit applications on various platforms. The book concludes with a few prototype natural l ...
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