3D Printing Designs: Design an SD Card Holder. Measurement basics to design and build a 3D printed object

Joe Larson

Want to model a 3D printed prototype of an object that needs to be replaced or broken? This book will teach you how to accurately measure objects in the real world with a few basic measuring techniques and how to create an object for 3D printing around the objects measured. In this book, you'll learn to identify basic shapes from a given object, use Vernier and Digital calipers and grid paper tracing techniques to derive measurements for the objects. With the help of measurements, you'll see to model these objects using Blender, organize the parts into layers, and later combine them to create the desired object, which in this book is a 3D printable SD card holder ring that fits your finger.

Mastering AutoCAD. Level up your AutoCAD skills with advanced methods and tools, including AutoCAD Web and Trace

Shaun Bryant, Jessica Langston, Jeanne Aarhus

AutoCAD helps you communicate your design intent by plotting your designs to drawings, in both paper and electronic format. But using AutoCAD can be daunting, even for an experienced user who wants to get their designs into the AutoCAD native DWG file format.Written by an Autodesk Certified Instructor at Platinum level with 30+ years of industry experience, this book will guide you on how to use new and existing AutoCAD tools to work smarter, not harder, and it will familiarize you with the processes needed to use AutoCAD much more effectively. As you work through the chapters, you’ll get used to these new methodologies in AutoCAD and build up muscle memory so that these skills become second nature. You’ll also take advantage of the author's expertise and experience, learning some highly effective AutoCAD tips and tricks along the way.By the end of this AutoCAD book, you’ll have gained valuable insights into the knowledge needed to confidently prepare for your Autodesk AutoCAD certification.

Learn OpenCV 4 By Building Projects. Build real-world computer vision and image processing applications with OpenCV and C++ - Second Edition

David Millán Escrivá, Vinícius G. Mendonça, Prateek Joshi

OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module.By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.

Generative AI Foundations in Python. Discover key techniques and navigate modern challenges in LLMs

Carlos Rodriguez, Samira Shaikh

The intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application.Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs.By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.

Raspberry Pi Mechatronics Projects HOTSHOT. Enter the world of mechatronic systems with the Raspberry Pi to design and build 12 amazing projects

Narasimha S Yamanoor, Srihari Yamanoor, Sai Yamanoor

The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

Aaron Jones, Christopher Kruger, Benjamin Johnston

Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner.The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding.As you progress, you’ll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you’ll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area.By the end of this book, you’ll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights.

Learn HTML5 by Creating Fun Games. Learning should be fun, especially when it comes to getting to grips with HTML5 Game Development. Each chapter of this book teaches a new concept for learning HTML5 by helping you develop a relevant game. It's education without the effort

Rodrigo Silveira

HTML is fast, secure, responsive, interactive, and stunningly beautiful. It lets you target the largest number of devices and browsers with the least amount of effort. Working with the latest technologies is always fun and with a rapidly growing mobile market, it is a new and exciting place to be.Learn HTML5 by Creating Fun Games takes you through the journey of learning HTML5 right from setting up the environment to creating fully-functional games. It will help you explore the basics while you work through the whole book with the completion of each game.Learn HTML5 by Creating Fun Games takes a very friendly approach to teaching fun, silly games for the purpose of giving you a thorough grounding in HTML5. The book has only as much theory as it has to, often in tip boxes, with most of the information explaining how to create HTML5 canvas games. You will be assisted with lots of simple steps with screenshots building towards silly but addictive games.The book introduces you to HTML5 by helping you understand the setup and the underlying environment. As you start building your first game that is a typography game, you understand the significance of elements used in game development such as input types, web forms, and so on.We will see how to write a modern browser-compatible code while creating a basic Jelly Wobbling Game. Each game introduces you to an advanced topic such as vector graphics, native audio manipulation, and dragging-and-dropping. In the later section of the book, you will see yourself developing the famous snake game using requestAnimationFrame along with the canvas API, and enhancing it further with web messaging, web storage, and local storage. The last game of this book, a 2D Space shooter game, will then help you understand mobile design considerations.

Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise

Jon Howells

As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI.This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.