Multimedia Programming with Pure Data. A comprehensive guide for digital artists for creating rich interactive multimedia applications using Pure Data

Bryan, Wai-ching CHUNG

Preparing interactive displays, creating computer games, and conducting audio-visual performance are now achievable without typing lines of code. With Pure Data, a graphical programming environment, creating interactive multimedia applications is just visually connecting graphical icons together. It is straightforward, intuitive, and effective. Multimedia Programming with Pure Data will show you how to create interactive multimedia applications. You will learn how to author various digital media, such as images, animations, audio, and videos together to form a coherent title. From simple to sophisticated interaction techniques, you will learn to apply these techniques in your practical multimedia projects. You start from making 2D and 3D computer graphics and proceed to animation, multimedia presentation, interface design, and more sophisticated computer vision applications with interactivity. With Pure Data and GEM, you will learn to produce animations with 2D digital imagery, 3D modelling, and particle systems. You can also design graphical interfaces, and use live video for motion tracking applications. Furthermore, you will learn Audio signal processing, which forms the key aspect to multimedia content creation. Last but not least, Network programming using Pure Data extension libraries explores applications to other portable devices.

Midjourney. Leverage The Future Of Creativity

Adrian Twarog

Unleash the full potential of Midjourney by mastering the essentials of prompt creation. The book begins with an in-depth exploration of prompt anatomy, teaching you the key components that make up an effective input. From there, you'll move on to crafting your first Midjourney prompt, gaining confidence as you bring your creative ideas to life.As you progress, you'll delve into the vital commands and the parameter list that enable you to fine-tune your results. Each concept is broken down into actionable insights, ensuring you fully understand how to control Midjourney’s output. By learning the interplay of these elements, you’ll start crafting outputs tailored to your vision.Finally, advanced techniques take center stage, showing you how to push the boundaries of your creativity. Whether you're creating stunning visuals, refining complex ideas, or exploring new ways to express yourself, this course equips you with the tools and knowledge to excel in the world of Midjourney.

Intelligent Document Processing with AWS AI/ML. A comprehensive guide to building IDP pipelines with applications across industries

Sonali Sahu

With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs.This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You’ll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems.By the end of this AWS book, you’ll have mastered the fundamentals of document processing with machine learning through practical implementation.

Certified Information Security Manager Exam Prep Guide. Gain the confidence to pass the CISM exam using test-oriented study material - Second Edition

Hemang Doshi

CISM is a globally recognized and much sought-after certification in the field of IT security. This second edition of the Certified Information Security Manager Exam Prep Guide is up to date with complete coverage of the exam content through comprehensive and exam-oriented explanations of core concepts. Written in a clear, succinct manner, this book covers all four domains of the CISM Review Manual.With this book, you’ll unlock access to a powerful exam-prep platform which includes interactive practice questions, exam tips, and flashcards. The platform perfectly complements the book and even lets you bring your questions directly to the author.This mixed learning approach of exploring key concepts through the book and applying them to answer practice questions online is designed to help build your confidence in acing the CISM certification.By the end of this book, you'll have everything you need to succeed in your information security career and pass the CISM certification exam with this handy, on-the-job desktop reference guide.

Pretrain Vision and Large Language Models in Python. End-to-end techniques for building and deploying foundation models on AWS

Emily Webber, Andrea Olgiati

Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization.With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you’ll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models.You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines.By the end of this book, you’ll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future.

Oracle Blockchain Services Quick Start Guide. A practical approach to implementing blockchain in your enterprise

Vivek Acharya, Anand Eswararao Yerrapati, Nimesh Prakash

Hyperledger Fabric empowers enterprises to scale out in an unprecedented way, allowing organizations to build and manage blockchain business networks. This quick start guide systematically takes you through distributed ledger technology, blockchain, and Hyperledger Fabric while also helping you understand the significance of Blockchain-as-a-Service (BaaS).The book starts by explaining the blockchain and Hyperledger Fabric architectures. You'll then get to grips with the comprehensive five-step design strategy - explore, engage, experiment, experience, and in?uence. Next, you'll cover permissioned distributed autonomous organizations (pDAOs), along with the equation to quantify a blockchain solution for a given use case. As you progress, you'll learn how to model your blockchain business network by defining its assets, participants, transactions, and permissions with the help of examples. In the concluding chapters, you'll build on your knowledge as you explore Oracle Blockchain Platform (OBP) in depth and learn how to translate network topology on OBP.By the end of this book, you will be well-versed with OBP and have developed the skills required for infrastructure setup, access control, adding chaincode to a business network, and exposing chaincode to a DApp using REST configuration.

Learning Apache Thrift. Make applications cross-communicate using Apache Thrift!

Krzysztof Rakowski, Diwaker Gupta

With modern software systems being increasingly complex, providing a scalable communication architecture for applications in different languages is tedious. The Apache Thrift framework is the solution to this problem! It helps build efficient and easy-to-maintain services and offers a plethora of options matching your application type by supporting several popular programming languages, including C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml, and Delphi.This book will help you set aside the basics of service-oriented systems through your first Apache Thrift-powered app. Then, progressing to more complex examples, it will provide you with tips for running large-scale applications in production environments.You will learn how to assess when Apache Thrift is the best tool to be used. To start with, you will run a simple example application, learning the framework's structure along the way; you will quickly advance to more complex systems that will help you solve various real-life problems. Moreover, you will be able to add a communication layer to every application written in one of the popular programming languages, with support for various data types and error handling. Further, you will learn how pre-eminent companies use Apache Thrift in their popular applications.This book is a great starting point if you want to use one of the best tools available to develop cross-language applications in service-oriented architectures.

The Regularization Cookbook. Explore practical recipes to improve the functionality of your ML models

Vincent Vandenbussche, Akin Osman Kazakci

Regularization is an infallible way to produce accurate results with unseen data, however, applying regularization is challenging as it is available in multiple forms and applying the appropriate technique to every model is a must. The Regularization Cookbook provides you with the appropriate tools and methods to handle any case, with ready-to-use working codes as well as theoretical explanations. After an introduction to regularization and methods to diagnose when to use it, you’ll start implementing regularization techniques on linear models, such as linear and logistic regression, and tree-based models, such as random forest and gradient boosting. You’ll then be introduced to specific regularization methods based on data, high cardinality features, and imbalanced datasets. In the last five chapters, you’ll discover regularization for deep learning models. After reviewing general methods that apply to any type of neural network, you’ll dive into more NLP-specific methods for RNNs and transformers, as well as using BERT or GPT-3. By the end, you’ll explore regularization for computer vision, covering CNN specifics, along with the use of generative models such as stable diffusion and Dall-E.By the end of this book, you’ll be armed with different regularization techniques to apply to your ML and DL models.