Visualizing Generative Ai
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Visualizing Generative Ai
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Author : Priyanka Vergadia
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-10-15
Visualizing Generative Ai written by Priyanka Vergadia 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 2025-10-15 with Computers categories.
Generative AI has the potential to innovate and evolve business processes, but workers are still figuring out how to build with, optimize, and prompt GenAI tools to fit their needs. And of course, there are pitfalls to avoid, like security risks and hallucinations. Getting it right requires an intuitive understanding of the technology’s capabilities and limitations. This approachable guidebook helps learners of all levels navigate GenAI—and have fun while doing it. Loaded with insightful diagrams and illustrations, Visualizing Generative AI is the perfect entry point for curious IT professionals, business leaders who want to stay on top of the latest technologies, students exploring careers in cloud computing and AI, and anyone else interested in getting started with GenAI. You’ll traverse the generative AI landscape, exploring everything from how this technology works to the ways organizations are already leveraging it to great success. Understand how generative AI has evolved, with a focus on major breakthroughs Get acquainted with the available tools and platforms for GenAI workloads Examine real-world applications, such as chatbots and workflow automation Learn fundamentals that you can build upon as you continue your GenAI journey
Visualizing Generative Ai
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Author : Priyanka Vergadia
language : en
Publisher: O'Reilly Media
Release Date : 2025-10-31
Visualizing Generative Ai written by Priyanka Vergadia and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-31 with Computers categories.
Generative AI has the potential to innovate and evolve business processes, but workers are still figuring out how to build with, optimize, and prompt GenAI tools to fit their needs. And of course, there are pitfalls to avoid, like security risks and hallucinations. Getting it right requires an intuitive understanding of the technology's capabilities and limitations. This approachable guidebook helps learners of all levels navigate GenAI--and have fun while doing it. Loaded with insightful diagrams and illustrations, Visualizing Generative AI is the perfect entry point for curious IT professionals, business leaders who want to stay on top of the latest technologies, students exploring careers in cloud computing and AI, and anyone else interested in getting started with GenAI. You'll traverse the generative AI landscape, exploring everything from how this technology works to the ways organizations are already putting it to work to great success. Understand how generative AI has evolved, with a focus on major breakthroughs Get acquainted with the available tools and platforms for GenAI workloads Examine real-world applications, such as chatbots and workflow automation Learn fundamentals that you can build upon as you continue your GenAI journey
Python 3 Data Visualization Using Google Gemini
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Author : Oswald Campesato
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-03-27
Python 3 Data Visualization Using Google Gemini written by Oswald Campesato and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-27 with Computers categories.
This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhance their visualization skills, it explores essential libraries like Pandas, Matplotlib, and Seaborn, along with insights into the innovative Gemini platform. With a focus on practicality and efficiency, it delivers a rapid yet thorough exploration of data visualization methodologies, supported by Gemini-generated code samples. Companion files with source code and figures are available for downloading. FEATURES: Covers Python-based data visualization libraries and techniques Includes practical examples and Gemini-generated code samples for efficient learning Integrates Google Gemini for advanced data visualization capabilities Sets up a conducive development environment for a seamless coding experience Includes companion files for downloading with source code and figures
Virtual Reality And Visualization Based On Ai Technologies
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Author : Kazumi Nakamatsu
language : en
Publisher: Springer Nature
Release Date : 2026-01-01
Virtual Reality And Visualization Based On Ai Technologies written by Kazumi Nakamatsu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.
This book gathers a collection of selected works and new research results of scholars and graduate students presented at the 9th International Conference on Artificial Intelligence and Virtual Reality (AIVR 2025) held in Osaka, Japan during July 11-13, 2025. The focus of the book is interdisciplinary in nature and includes research on all aspects of artificial intelligence and virtual reality, from fundamental development to the applied system. The book covers topics such as system techniques, performance, and implementation; content creation and modelling; cognitive aspects, perception, user behaviour; AI technologies; interactions, interactive and responsive environments; AI/VR applications and case studies.
Representing Landscapes Visualizing Climate Action
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Author : Nadia Amoroso
language : en
Publisher: Taylor & Francis
Release Date : 2024-07-31
Representing Landscapes Visualizing Climate Action written by Nadia Amoroso and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Architecture categories.
This book provides an in-depth overview of graphic and visual communication styles for conveying climate change and climate action within the landscape architectural profession and in academia. The book features visualizations of climate adaptation and resilience, developed by award-winning landscape architects and academics from Canada, the United States, the United Kingdom, The Netherlands, Denmark, Germany, Italy, France, Finland, South Africa, Singapore, and China. Representing Landscapes: Visualizing Climate Action illustrates the imaginative ways in which climate action and climate resilient concepts are visually presented, communicated, and perceived. The book will be especially valuable for students and practitioners in landscape architecture, urban planning, and related fields to understand how to visually capture climate change issues and design solutions, and to deliver this message to the public.
Designing Sustainable Futures
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Author : Joseph Press
language : en
Publisher: Taylor & Francis
Release Date : 2024-10-28
Designing Sustainable Futures written by Joseph Press and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-28 with Business & Economics categories.
We are in a decisive decade that demands more inspired and informed practitioners who can use positive futures to rebalance the present. The book you hold seeks to be a thought‐provoking approach to imagine, create, and lead the journey to a more sustainable world – where a spectrum of choices, including regenerative practices, await conscientious citizens, companies, and communities. With this objective, and to help reverse the megatrends of economic disparity, social injustice, and climate change, the Institute for the Future (IFTF) and the Design Department of the Politecnico di Milano came together to prototype an approach to prepare all practitioners who seek to leverage the future to infuse our present with more impact and agency. Guided by global experts and inspired by a growing network of future‐makers, the authors share essential insights from this emerging landscape, offering thought‐provoking theory, innovative experiments, real‐world experiences, and practitioner stories. We draw insight and inspiration from many contemporary theories and practices, including strategic foresight, experiential futures, speculative design, design fiction, systems design, participatory design, and transformative leadership, and an emerging entry with genAI‐augmented design. Regardless of whether you have a design or management background, or want to create a for‐profit or non‐profit, this book enables professionals across industries, as well as students preparing for a career in strategy, innovation, or transformation, the knowledge, skills, and confidence to strengthen resilience and guide the transition to the more sustainable practices of a better world.
Explainable Ai Interpreting Explaining And Visualizing Deep Learning
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Author : Wojciech Samek
language : en
Publisher: Springer Nature
Release Date : 2019-09-10
Explainable Ai Interpreting Explaining And Visualizing Deep Learning written by Wojciech Samek and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Vol 35 No 5 2020 09
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Author : 人工知能学会
language : ja
Publisher: 株式会社 オーム社
Release Date : 2020-09-01
Vol 35 No 5 2020 09 written by 人工知能学会 and has been published by 株式会社 オーム社 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Computers categories.
話題の人工知能の粋を集めた話題の人工知能の粋を集めた学会誌 学会誌人工知能に関する専門家からのさまざまな研究結果、レポートを載せ、この分野における最新の情報を掲載しています。 ★このような方におすすめ 人工知能に関心のある一般の方、人工知能の研究者 ●主要目次● 巻頭言 特集:「ダイバーシティとAI 研究コミュニティ」 特集:「COVID-19 への対応を支える人工知能技術」 特集:「2019 年度研究会優秀賞受賞論文紹介」 レクチャーシリーズ:「人工知能の今」〔第10 回〕 連載:「教養知識としてのAI」〔第8 回〕 グローバルアイ〔第52 回〕 学生フォーラム〔第102 回〕 会議報告 書評 アーティクル
Directive Speech Acts
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Author : Patrick Henry Murray
language : en
Publisher:
Release Date : 1980
Directive Speech Acts written by Patrick Henry Murray and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Speech acts (Linguistics) categories.
Visualization For Artificial Intelligence
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Author : Shixia Liu
language : en
Publisher: Springer Nature
Release Date : 2024-12-21
Visualization For Artificial Intelligence written by Shixia Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-21 with Computers categories.
This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization can bridge the gap between complex models or algorithms and human understanding while also facilitating data curation and model refinement. Therefore, visualization for artificial intelligence (VIS4AI) has become an emerging area that combines interactive visualization with machine learning techniques to maximize their values. VIS4AI techniques focus on every phase of the machine learning life cycle, from data preprocessing to model development and deployment. These techniques are closely aligned with the well-established data and model pipelines in machine learning. In the data pipeline, they contribute to improving data quality and feature quality, including training data cleaning and feature engineering. In the model pipeline, they support (1) model development by focusing on model understanding, diagnosis, and steering; and (2) model deployment by enabling decision explanation, model performance monitoring, and model maintenance. This book provides a framework of VIS4AI and introduces the associated techniques in the two pipelines. It emphasizes the importance of interactive visualization in AI and presents various visualization techniques for different purposes. It also discusses the challenges and opportunities of VIS4AI and proposes several promising research topics for future work, such as improving training data using complementary modalities, online training diagnosis, fitting the dynamic nature of AI systems, and interactively pre-training and adapting foundation models. Overall, this book aims to serve as a resource for researchers and practitioners interested in both visualization and artificial intelligence.