AI for Absolute Beginners: A Clear Guide to Tomorrow. Demystifying AI for Beginners and Paving the Path to Future Innovations

Oliver Theobald

The course begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for absolute beginners. We unravel the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this course aims to illuminate the path for those curious about how AI impacts our world.The course focuses on the core components of AI, including machine learning, deep learning, and natural language processing, before advancing to more specialized topics like generative AI and computer vision. Each module is designed to build a comprehensive understanding, emphasizing why these technologies are crucial for solving real-world problems and how they're transforming industries.The course wraps up by exploring the ethical considerations and privacy concerns associated with AI, along with a visionary look at the future of work in an AI-driven world. It offers a treasure trove of further resources, ensuring learners have everything they need to continue their exploration of AI.

Working with Linux - Quick Hacks for the Command Line. Command line power like you've never seen

Bogdan Vaida, Petru I>>ôfan

Websites, online services, databases, and pretty much every other computer that offers public services runs on Linux. From small servers to clusters, Linux is anywhere and everywhere. With such a broad usage, the demand for Linux specialists is ever growing. For the engineers out there, this means being able to develop, interconnect, and maintain Linux environments.This book will help you increase your terminal productivity by using Terminator, Guake and other tools. It will start by installing Ubuntu and will explore tools and techniques that will help you to achieve more work with less effort. Next, it will then focus on Terminator, the ultimate terminal, and vim, one of the most intelligent console editors. Futhermore, the readers will see how they can increase their command line productivity by using sed, find, tmux, network, autoenv. The readers will also see how they can edit files without leaving the terminal and use the screen space efficiently and copy-paste like a pro. Towards the end, we focus on network settings, Git hacks, and creating portable environments for development and production using Docker. Through this book, you will improve your terminal productivity by seeing how to use different tools.

ServiceStack 4 Cookbook. Over 70 recipes to create web services, build message-based apps, and work with object-relational mapping

Kyle Hodgson, Darren Reid

Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications

Valery Manokhin, Agus Sudjianto

In the rapidly evolving landscape of machine learning, the ability to accurately quantify uncertainty is pivotal. Practical Guide to Applied Conformal Prediction in Python addresses this need by offering an in-depth exploration of Conformal Prediction, a cutting-edge framework set to revolutionize uncertainty management in various ML applications.Embark on a comprehensive journey through Conformal Prediction, exploring its fundamentals and practical applications in binary classification, regression, time series forecasting, imbalanced data, computer vision, and NLP. Each chapter delves into specific aspects, offering hands-on insights and best practices for enhancing prediction reliability. The book concludes with a focus on multi-class classification nuances, providing expert-level proficiency to seamlessly integrate Conformal Prediction into diverse industries. Practical examples in Python using real-world datasets reinforce intuitive explanations, ensuring you acquire a robust understanding of this modern framework for uncertainty quantification.This guide is a beacon for mastering Conformal Prediction in Python, providing a blend of theory and practical application. It serves as a comprehensive toolkit to enhance machine learning skills, catering to professionals from data scientists to ML engineers.

Learn Quantum Computing with Python and IBM Quantum. Write your own practical quantum programs with Python - Second Edition

Robert Loredo

The IBM Quantum Platform was built to enable developers to learn the basics of quantum computing by providing access to high performant quantum computers and provide documentation and courses to help get up to speed with the latest features in quantum computing. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum Platform and the Quantum Information Science Kit (Qiskit) SDK. You will become well versed in the IBM Quantum Composer interface as well as running your quantum circuits on a real quantum computer. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, qubits, quantum gates, quantum circuits, and the error mitigation techniques that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Qiskit and the developer-focused resources so you can create your own quantum algorithms. You’ll learn how to monitor and optimize your quantum circuits. Lastly, you’ll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum algorithms and will have gained a practical understanding of quantum computation that you can apply to your research or business.

Infrastructure Monitoring with Amazon CloudWatch. Effectively optimize resource allocation, detect anomalies, and set automated actions on AWS

Ewere Diagboya

CloudWatch is Amazon’s monitoring and observability service, designed to help those in the IT industry who are interested in optimizing resource utilization, visualizing operational health, and eventually increasing infrastructure performance. This book helps IT administrators, DevOps engineers, network engineers, and solutions architects to make optimum use of this cloud service for effective infrastructure productivity.You’ll start with a brief introduction to monitoring and Amazon CloudWatch and its core functionalities. Next, you’ll get to grips with CloudWatch features and their usability. Once the book has helped you develop your foundational knowledge of CloudWatch, you’ll be able to build your practical skills in monitoring and alerting various Amazon Web Services, such as EC2, EBS, RDS, ECS, EKS, DynamoDB, AWS Lambda, and ELB, with the help of real-world use cases. As you progress, you'll also learn how to use CloudWatch to detect anomalous behavior, set alarms, visualize logs and metrics, define automated actions, and rapidly troubleshoot issues. Finally, the book will take you through monitoring AWS billing and costs.By the end of this book, you'll be capable of making decisions that enhance your infrastructure performance and maintain it at its peak.

Learning NumPy Array. Supercharge your scientific Python computations by understanding how to use the NumPy library effectively

Ivan Idris

Microsoft Dynamics GP 2010 Cookbook. Get more from Dynamics GP using the 100+ recipes in this invaluable Cookbook. Discover hidden features, improve usability, and optimize the system with clearly presented solutions you can easily implement

Mark Polino

Microsoft Dynamics GP is an Enterprise Resource Planning system, essentially an accounting system on steroids, designed for mid-sized organizations. The implementation of Dynamics GP is usually considered to be complex, and people often realize there must be more efficient ways of working with the system. This book will show readers how to improve their use of Dynamics GP and get the most out of this tool quickly and effectively.This book picks up where implementation training leaves off. Whether you are new or experienced you will find useful recipes for improving the way you use and work with Dynamics GP. The clear recipe steps and screenshots make implementing these solutions easy for users of any level and will be sure to improve your efficiency with the Dynamics GP system.The book starts with recipes designed to enhance the usefulness of Microsoft Dynamics GP by personalizing the look and feel of the application. Most of the recipes are designed to give tips for a typical installation of Dynamics GP, including core financials and distribution modules. The book then moves through recipes that include automating Dynamics GP to allow users or administrators to focus on value adding tasks, harnessing the power of SmartLists to leverage both simplicity and power, connecting Dynamics GP to Microsoft Office 2007, exposing hidden features in Dynamics GP, and much more!By following the clear recipe steps and screenshots in this book, you will learn what is required to improve your efficiency with the Dynamics GP system