Efficient Workflows With Colab
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Efficient Workflows With Colab
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-10
Efficient Workflows With Colab written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.
"Efficient Workflows with Colab" "Efficient Workflows with Colab" is an authoritative and comprehensive guide tailored for data scientists, engineers, and researchers seeking to harness the full power of Google Colaboratory in modern machine learning and computational workflows. Beginning with a deep dive into Colab’s architecture, resource management, and security model, this book equips readers with a foundational understanding of the platform’s capabilities and operational constraints. Detailed feature comparisons with traditional Jupyter environments, as well as advanced topics such as multi-tenant security, lifecycle management, and network connectivity, ensure users can confidently deploy Colab for both prototyping and production-oriented tasks. Building on this foundation, the book explores advanced data engineering, high-performance computing strategies, and robust automation patterns within Colab. Readers will discover best practices for integrating cloud storage, managing large datasets, and constructing scalable ETL and parallel processing pipelines. Key chapters unravel methods for leveraging hardware accelerators, optimizing memory and computational resources, and enabling reproducible, automated research through tight integration with version control, collaboration tools, and experiment tracking frameworks. Machine learning practitioners are guided through data handling, distributed training, hyperparameter tuning, and seamless orchestration with major cloud platforms—all within the familiar notebook interface. Rounding out the journey, "Efficient Workflows with Colab" addresses critical aspects of extensibility, security, compliance, and future best practices. Practical instruction covers customizing notebook environments, interactive dashboards, advanced API integrations, and packaging custom modules. The book dedicates thorough attention to security, privacy, and regulatory compliance, providing actionable strategies for secret management, access control, and incident response. Looking ahead, the final sections distill emerging trends, sustainable workflow design, and open-source community engagement, offering readers a roadmap for thriving in the evolving landscape of cloud-based data science.
Digital Pathology
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Author : Meera Hameed
language : en
Publisher: Elsevier
Release Date : 2024-11-27
Digital Pathology written by Meera Hameed and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Science categories.
Digital Pathology: Implementation in Clinical Practice with AI Applications covers digital pathology applications in a clinical pathology laboratory setting, providing guidance and various tools for practical implementation. This comprehensive and detailed description of nuts and bolts of digital pathology implementation is unique and comes from the experience of high throughput scanning from a large surgical pathology laboratory. This is a valuable reference to prepare the end users not only about thoughtful launch of digital pathology but also to prepare for the future use of AI mediated decision support tools as the field advances.This book covers the entire range of this topic and can be used as a practical reference for individuals that wish to be part of the evolution of diagnostic pathology. Sections include pre-analytic, analytic, and post-analytic processes, encompassing hardware, software, space, staffing, quality control, laboratory information system applications, clinical validation, use cases and future applications, including computer assisted diagnosis and decision support tools. - Provides detailed aspects of the implementation of digital pathology in the clinical laboratory, including machine learning/artificial intelligence tools - Presents examples of how digital imaging and AI are drivers in research and development in radiology, with parallels to situations in pathology - Includes best practices and guidelines that can be practically applied by pathologists and data scientists
Reengineering Clinical Workflow In The Digital And Ai Era
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Author : Kai Zheng
language : en
Publisher: Springer Nature
Release Date : 2025-03-31
Reengineering Clinical Workflow In The Digital And Ai Era written by Kai Zheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Medical categories.
This timely new edition addresses gaps in the understanding of how health information technology (IT) impacts clinical workflows and how this impact is central to the safe and effective delivery of care to patients. The research in this area has advanced substantially in the past few years since the publication of the first edition, marked by milestone events such as the widespread and matured use of health IT, particularly electronic health records, and a new wave of innovations stimulated by the clinical application of AI-enabled systems such as ambient documentation technologies. This book has been expanded to reflect these new developments in the field and features clearly structured chapters covering a wide range of topics, including aspects of clinical workflows relevant to both practitioners and patients, tools for recording clinical workflow data, and techniques for potentially redesigning health IT-enabled care coordination. Reengineering Clinical Workflow in the Digital and AI Era: Toward Safer and More Efficient Care enables readers to develop a deeper understanding of clinical workflows and how they can potentially be modified to facilitate greater efficiency and safety in care provision, offering a valuable resource for both biomedical and health informatics professionals and trainees.
High Performance Computing In Biomimetics
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Author : Kamarul Arifin Ahmad
language : en
Publisher: Springer Nature
Release Date : 2024-03-20
High Performance Computing In Biomimetics written by Kamarul Arifin Ahmad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-20 with Technology & Engineering categories.
This book gives a complete overview of current developments in the implementation of high performance computing (HPC) in various biomimetic technologies. The book presents various topics that are subdivided into the following parts: A) biomimetic models and mechanics; B) locomotion and computational methods; C) distributed computing and its evolution; D) distributed and parallel computing architecture; E) high performance computing and biomimetics; F) big data, management, and visualization; and G) future of high performance computing in biomimetics. This book presents diverse computational technologies to model and replicate biologically inspired design for the purpose of solving complex human problems. The content of this book is presented in a simple and lucid style which can also be used by professionals, non-professionals, scientists, and students who are interested in the research area of high performance computing applications in the development of biomimetics technologies.
Accelerating Diagnostics In A Time Of Crisis
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Author : Steven C. Schachter
language : en
Publisher: Cambridge University Press
Release Date : 2024-03-07
Accelerating Diagnostics In A Time Of Crisis written by Steven C. Schachter and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-07 with Medical categories.
Presenting chapter-specific roadmaps, this book aids the creation and implementation of operational strategies during disease outbreaks.
Natural Language Processing With Transformers Revised Edition
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Author : Lewis Tunstall
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-05-26
Natural Language Processing With Transformers Revised Edition written by Lewis Tunstall and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Computers categories.
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments
Generative Ai With Local Llm
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Author : Timur Isachenko
language : en
Publisher: Timur Isachenko
Release Date : 2024-10-04
Generative Ai With Local Llm written by Timur Isachenko and has been published by Timur Isachenko this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Computers categories.
A comprehensive roadmap for building AI-Driven applications with local LLMs
Intelligent Internet Of Everything For Automated And Sustainable Farming
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Author : Ray, Biplob
language : en
Publisher: IGI Global
Release Date : 2025-05-01
Intelligent Internet Of Everything For Automated And Sustainable Farming written by Ray, Biplob and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Computers categories.
With the convergence of technology in agriculture, intelligent Internet of Everything (IoE) creates efficient sustainable farming practices. The integration of Internet of Things (loT), robotics, and data analytics optimize the technology used for efficient farming practices and improved environmental conditions. By leveraging the power of IoE, this approach enhances productivity and crop quality and addresses critical challenges such as climate change, labor shortages, and food security, laying the groundwork for a resilient and tech-driven agricultural future. Intelligent Internet of Everything for Automated and Sustainable Farming explores IoE in smart farming applications. It examines the advancements of drone technologies and AI in agriculture sustainability, using real world issues as examples on how to expertly use IoE in smart sustainable agriculture. This book covers topics such as agriculture technology, smart farming, and autonomous weeding, and is a useful resource business owners, engineers, agriculturalists, farmers, academicians, scientists, and researchers.
Cloud Based Machine Learning Practical Guide To Deploying Ai Models In The Cloud
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Author : Hemanth Volikatla
language : en
Publisher: RK Publication
Release Date : 2024-05-15
Cloud Based Machine Learning Practical Guide To Deploying Ai Models In The Cloud written by Hemanth Volikatla and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Computers categories.
Cloud-Based Machine Learning – Practical Guide to Deploying AI Models in the Cloud is a comprehensive resource designed to help professionals and enthusiasts harness the power of cloud platforms for AI deployment. It's key concepts, tools, and techniques for building, training, and deploying machine learning models using services like AWS, Azure, and Google Cloud. With practical examples, step-by-step instructions, and best practices, this guide empowers readers to scale AI solutions efficiently, ensuring robust performance and seamless integration into real-world applications. Perfect for beginners and experts aiming to advance their skills in cloud-based AI technologies.
The Tensorflow Workshop
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Author : Matthew Moocarme
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-12-15
The Tensorflow Workshop written by Matthew Moocarme and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-15 with Computers categories.
Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities Key FeaturesUnderstand the fundamentals of tensors, neural networks, and deep learningDiscover how to implement and fine-tune deep learning models for real-world datasetsBuild your experience and confidence with hands-on exercises and activitiesBook Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging. If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running. You'll start off with the basics – learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models. Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing. By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow. What you will learnGet to grips with TensorFlow's mathematical operationsPre-process a wide variety of tabular, sequential, and image dataUnderstand the purpose and usage of different deep learning layersPerform hyperparameter-tuning to prevent overfitting of training dataUse pre-trained models to speed up the development of learning modelsGenerate new data based on existing patterns using generative modelsWho this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp the topics covered in this book more easily.