Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
DisciplineDiscipline
-
Is Peer ReviewedIs Peer Reviewed
-
Series TitleSeries Title
-
Reading LevelReading Level
-
YearFrom:-To:
-
More FiltersMore FiltersContent TypeItem TypeIs Full-Text AvailableSubjectCountry Of PublicationPublisherSourceTarget AudienceDonorLanguagePlace of PublicationContributorsLocation
Done
Filters
Reset
49,480
result(s) for
"Artificial intelligence Data processing."
Sort by:
AI for scientific discovery
by
Hastings, Janna, author
in
Research Data processing.
,
Science Data processing.
,
Artificial intelligence.
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 discovery process with AI-enabled standards and pipelines, support the management of large-scale data and knowledge resources so that they can be shared, integrated and serve as a background 'knowledge ecosystem' into which new discoveries can be embedded. However, there are limitations to what AI can achieve and its outputs can be biased and confounded thus should not be blindly trusted. The latest generation of hybrid and 'human-in-the-loop' AI technologies have as their objective a balance between human inputs and insights and the power of the number-crunching and statistical inference at massive scale that AI technologies are best at\"-- Provided by publisher.
Artificial intelligence for business : a roadmap for getting started with AI
by
Coveyduc, Jeffrey L.
,
Anderson, Jason L.
in
Artificial intelligence
,
Artificial intelligence -- Data processing
,
Artificial intelligence -- Economic aspects
2020
Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology.
Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence (AI), gets your system to think smart and intelligent. This book is packed with some of the smartest and easy-peasy examples through which you will learn the fundamentals of AI. You will have acquired the foundation of AI and understood the practical case studies in this book.
Python Artificial Intelligence Projects for Beginners
by
Eckroth, Joshua
in
Application software-Development
,
Artificial intelligence
,
Artificial intelligence-Data processing
2018
This book demonstrates AI projects in Python covering modern techniques that make up the world of Artificial Intelligence. You will come across a variety of real-world projects on classifying data, text processing techniques, deep learning and neural networks.
Practical Java Programming with ChatGPT
How to use ChatGPT to write fast validated Java codeDESCRIPTIONEmbark on a Fascinating Journey into AI-Powered Software Development with ChatGPT. This transformative book challenges the conventional speed of software development by showcasing a diverse array of inquiries directed at cutting-edge AI tools, including Ask AI, ChatGPT 3.5, Perplexity AI, Microsoft Bing Chatbot based on ChatGPT 4.0, and the Phed mobile app. Diving deep into the integration of Java and ChatGPT, this book provides readers with a comprehensive understanding of their synergy in programming. Each carefully crafted question serves as a testament to ChatGPT's exceptional ability to swiftly generate Java programs. The resulting code undergoes rigorous validation using the latest open-source Eclipse IDE and the Java language, empowering readers to craft efficient code in a fraction of the usual time. The journey doesn't end there—this book looks ahead to the promising future of ChatGPT, unveiling exciting potential enhancements planned by OpenAI. These innovations are poised to usher in even more formidable AI-driven capabilities for software development.TABLE OF CONTENTS 1. Getting Started with ChatGPT2. Java Programming – Best Practices as Stated by ChatGPT3. Developing Java Code for Utilizing the ChatGPT API4. Java Program for Using Binary Search5. Installation of the Latest Open-source Eclipse Java IDE6. ChatGPT Generated Java Code for Fourier Analysis7. ChatGPT Generated Java Code for the Fast Fourier Transform8. ChatGPT Generated Java Code for Indexing a Document9. ChatGPT-Generated Java Code for Saltikov Particle Distribution10. ChatGPT-Generated Java Code to Invert a Triangular Matrix11. ChatGPT Generated Java Code to Store a Document in the IBM FileNet System12. Conclusions and the Future of ChatGPT for Program Development13. Appendices for Additional QuestionsIndex
Applied artificial intelligence : a handbook for business leaders
This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.
Artificial Intelligence by Example
2018,2024
Artificial Intelligence(AI), gets your system to think smart and intelligent. This book is packed with some of the smartest and easy-peasy examples through which you will learn the fundamentals of AI. You will have acquired the foundation of AI and understood the practical case studies in this book.
Human + machine : reimagining work in the age of AI
by
Wilson, H. James, author
,
Daugherty, Paul R., author
in
Technological innovations.
,
Artificial intelligence.
,
Business Data processing.
2018
Artificial intelligence (AI) is transforming how we work right now. Are you ready? In the past, robots were typically large pieces of machinery, sectioned off from human workers to perform precise, mechanical tasks on an assembly line. But now, bots and other AI technologies go far beyond this in augmenting human capabilities--not just robots on the factory floor of an auto plant, but algorithms in the back office of a healthcare insurer and chatbots interacting with retail customers. Unlike any software tool or service that's come before, artificial intelligence has the power to profoundly change the very nature of work itself--and this is happening in all kinds of enterprises and across all functions of the organization. There's a current and growing imperative: businesses that understand how to harness AI can surge ahead, while those who neglect it are in danger of being left behind. In Human + Machine, Accenture technology leaders H. James Wilson and Paul R. Daugherty vividly illustrate how AI is redefining work and the economy. At the core of this paradigm shift is the transformation of business processes--all the step-by-step tasks that take place within an organization, from operations to customer service to workers' own personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or completely reimagine them.-- Provided by publisher
Hands-On Intelligent Agents with OpenAI Gym
by
P, Palanisamy
in
Application software-Development
,
Artificial intelligence
,
Artificial intelligence-Data processing
2018,2024
Walks through the hands-on process of building intelligent agents from the basics and all the way up to solving complex problems including playing Atari games and driving a car autonomously in the CARLA simulator. Discusses various learning environments and how to transform real-world problems into learning environments and solve using the agents.