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Sách/Book AI for scientific discovery Authors: Janna Hastings (2023) AI for Scientific Discovery provides an accessible introduction to the wide-ranging applications of artificial intelligence technologies in scientific research and discovery across the full breadth of scientific disciplines. Artificial intelligence technologies support discovery science in multiple different ways. They support literature management and synthesis, allowing the wealth of what has already been discovered and reported on to be integrated and easily accessed. They play a central role in data analysis and interpretation - in the context of what is called 'data science'. AI is also helping to combat the reproducibility crisis in scientific research, by underpinning the disco...

Sách/Book System Design for Epidemics Using Machine Learning and Deep Learning Authors: G. R. Kanagachidambaresan (2023) This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis.

Sách/Book Advancement of deep learning and its applications in object detection and recognition Authors: Roohie Naaz Mir (2022) The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field's cutting edge more rapidly. Moreover, unlike prior object detection publications, this project analyses deep learning-based object identification methods systematically and exhaustively, and also gives the most recent detection solutions and a collection of noteworthy research trends.

Sách/Book Convergence of cloud with AI for big data analytics : foundations and innovation Authors: Danda B. Rawat (2023) This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms.

Sách/Book Deep Learning on Microcontrollers Learn How to Develop Embedded Al Applications Using TinyML Authors: Atul Krishna Gupta (2023) This book aims to increase accessibility to TinyML applications, particularly for professionals who lack the resources or expertise to develop and deploy them on microcontroller-based boards. The book starts by giving a brief introduction to Artificial Intelligence, including classical methods for solving complex problems. It also familiarizes you with the different ML model development and deployment tools, libraries, and frameworks suitable for embedded devices and microcontrollers.

Sách/Book All in on AI : how smart companies win big with artificial intelligenc Authors: Thomas H. Davenport (2023) If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.

Sách/Book Deep learning and scientific computing with R torch Authors: Sigrid Keydana (2023) This book aims to be useful to (almost) everyone. Globally speaking, its purposes are threefold: Provide a thorough introduction to torch basics - both by carefully explaining underlying concepts and ideas, and showing enough examples for the reader to become "fluent" in torch. Again with a focus on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to audio classification.

Sách/Book Explainable deep learning AI : methods and challenges Authors: Jenny Benois-Pineau (2023) The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches.

Sách/Book Diagnosis of neurological disorders based on deep learning techniques Authors: Jyotismita Chaki (2023) This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders.

Sách/Book Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python Authors: Akshay R. Kulkarni (2023) This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling methods like AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average), and ARIMA (autoregressive integrated moving-average).

Sách/Book Classification applications with deep learning and machine learning technologies Authors: Laith Abualigah (2023) This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies image and data classifications.

Sách/Book Deep learning in cancer diagnostics : a feature-based transfer learning evaluation Authors: Mohd Hafiz Arzmi (2023) In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer

Sách/Book Digital Photography An Introduction Authors: Tom Ang (2018) This comprehensive photography companion shows you everything you need to do to start taking exquisite photographs. Beginning with core techniques, the updated Digital Photography: An Introduction progresses through a series of 15 projects that encourage you to practice and refine your skills.

Sách/Book Graphic design : a new history Authors: Stephen J. Eskilson (2012) This 2nd edition of the history of graphic design explores its evolution from the late nineteenth century to the present day. Organized chronologically, the book illuminates the dynamic relationship between design and manufacturing, as well as the influence of technology, social change, and commercial forces on the course of design history.

Sách/Book Graphic design rules : 365 essential design dos and dont's Authors: Sean Adams (2020) 365 Design do's and don'ts, each presented with pithy accompanying text. A reference book and a primer, described in the foreword as both 'a guide to avoiding rookie mistakes' and 'a list of 'Oh yeah? We'll see about that!' challenges.

Sách/Book The art of drawing Authors: Willy Pogány (1996) One of the most popular drawing guides ever published, The Art of Drawing has been an informative and thorough guide to several generations of aspiring artists. For fifty years, Willy Pogany has given the main principles of drawing in a simple, constructive way. By following the sequences laid out in the lessons, students quickly master the art of drawing. As a further aid, Pogany gives a complete anatomical description of the body for each section, including a list of all bones and a description of the muscles and their uses. The Art of Drawing provides a complete drawing system and includes hundreds of illustrations.

Sách/Book Những nền tảng cơ bản của mỹ thuật Authors: Stinsok Ocvirk; Bone Wigg (2006) Bố cục. đường nét. hình dạng. sắc độ. cấu trúc cơ bản. mầu sắc. không gian. nghệ thuật của chiều thứ ba. nội dung và phong cách.

Sách/Book Teach Yourself Visually Web Design Authors: Rob Huddleston (2010) You'll learn all the tools and techniques for creating great-looking Web sites that users will love. Good Web design incorporates basic graphic design principles as well as the techniques required to make a site easy to navigate and user-friendly

Sách/Book Getting the Hang of Web Typography Authors: Smashing Magazine (2011) Getting the Hang of Web Typography is dedicated to web workers that are dealing with typography in their daily lives, but have no special training for this independent craft. This eBook gives you the necessary background on macro- and microtypography, it helps you to choose suitable fonts and use modern techniques such as Web font embedding. It's a valuable book that helps you to create rich, sophisticated Web sites with beautiful and elegant Web typography.

Sách/Book Practicing trustworthy machine learning : consistent, transparent, and fair AI pipelines Authors: Yada Pruksachatkun (2023) With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundat...