Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk, Tsafack Chetsa Ghislain Landry
Автор: Anandakumar Haldorai, Arulmurugan Ramu Название: Big Data Analytics for Sustainable Computing ISBN: 1522597506 ISBN-13(EAN): 9781522597506 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 219910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science.
Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Автор: Anandakumar Haldorai, Arulmurugan Ramu Название: Big Data Analytics for Sustainable Computing ISBN: 1522597514 ISBN-13(EAN): 9781522597513 Издательство: Mare Nostrum (Eurospan) Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Автор: Pradeep Tomar, Gurjit Kaur Название: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture ISBN: 1799817229 ISBN-13(EAN): 9781799817222 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 193110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. The book features coverage on a broad range of topics, including crop monitoring, precision livestock farming, and agronomic data processing.
Автор: Pradeep Tomar, Gurjit Kaur Название: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture ISBN: 1799817237 ISBN-13(EAN): 9781799817239 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 160770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of ""smart"" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
Автор: Hassanien Aboul Ella, Bhatnagar Roheet, Darwish Ashraf Название: Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications ISBN: 3030519198 ISBN-13(EAN): 9783030519193 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications.
Автор: Awasthi Shashank, Travieso-Gonzбlez Carlos M., Sanyal Goutam Название: Artificial Intelligence for a Sustainable Industry 4.0 ISBN: 3030770699 ISBN-13(EAN): 9783030770693 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities.
Machine Learning is based on mathematics, specifically statistics. It is a probabilistic discipline that began in the 1950s. Despite initial enthusiasm, research and development in Machine Learning languished for over 30 years, suffering from twin ills of a lack of data to work with and computers that were too slow to effectively work with what data they had.
It is no accident Machine Learning is coming into its own over the last 10 years. Until we began creating and storing massive amounts of data about our world, ML was mostly an idea in the minds of statisticians. And until computers reached a level of speed and power where these massive data sets could be ingested in a reasonable amount of time, the revolution couldn't happen. But as we digitize information about our world and ourselves, and computers continue to increase in speed and capacity exponentially, the ability for Machine Learning to learn from our data grows in depth and accuracy. Looking to the future, we can see only more and more data collection about our world, faster computer chips, and data transfer, and more avenues for ML to develop in, to grow and learn, and to serve humanity.
When most people think of machine learning, they either have no idea what it is, or they automatically think about artificial intelligence in the form of a robotic species that rivals humans. While these fascinating subspecies may one day exist as the result of machine learning developments, right now the primary focus is on how machine learning programs can become excellent at very specific tasks. Most machine learning technology is developed in such a way that it is excellent at performing one or, at most, two tasks. By focusing entire technology on one single task, they can ensure that it runs that task perfectly, and that it does not get confused between the tasks that it is trying to accomplish. While simple computing software like the one that runs your computer can easily run multiple programs at once with little chance of crashing, the technology that is used to run machine learning technology is far more complex. As researchers study it, they strive to keep the algorithms mostly separate, or specifically focused on completing just one goal, on minimizing room for error.
It is likely that as we become more familiar with machine learning technology and more educated in the algorithms, we will start to see more and more machines completing multiple tasks, rather than just one. At this point, that is the long-term goal for many scientists who want to see these machines becoming more efficient, and requiring less hardware. After all, the hardware used to run some of these machines is not always the greenest technology, so the fewer hardware casings that technology needs to be stored in, the less of a footprint the technology sector will have on the planet. This book aims to educate you on the truth about machine learning.
This book gives a comprehensive guide on the following:
Learn How to Apply Artificial Intelligence in Business
Over the years, machines have attained intelligence capabilities that were only known to man before. Self-driving cars and virtual assistants like Siri and Alexa are some of the examples of artificial intelligence in action in daily life.
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How machine learning and AI will enhance the competitiveness of your business
The best uses for AI in your business
The future of AI, especially for businesses
FAQ
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If your dream is to become a Python pro, or you always want to code like a boss, solve real-world problems, build web apps, or even automate repetitive tasks, then you've come to the right place.
By the end of this book, you will have mastered the fundamentals of Python language. You will learn how to create programs that will save you time and simplify your life.
Python is a straightforward language, so even if this is your first time to learn any programming language, you can learn Python without experiencing any issues.
Python has multiple applications, and so you've got a high probability of getting a great job once you become a pro in Python language.
Whether it's in web development, data analysis, scripting, and machine learning, all require that you be experienced in Python.
This is a beginner guide that will take you from absolute scratch to creating your first Python program.
Not only that, but you'll also learn lots of stuff about the Django Python framework.
With Django, you will learn how to create web apps very quickly and efficiently.
Here are some of the things you will learn:
How to install Python
How to install virtual environment
How to install Django
How to create a Django app
How to run Django commands
How to define and use functions
What are variables and how to use them
And many more topics
Python is hot right now.
It has a high demand in the IT sector.
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If you want to get into programming as a career, upgrade your existing job, or open up new opportunities in the IT field, you need to start learning Python today.
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Автор: Paula Boddington Название: Towards a Code of Ethics for Artificial Intelligence ISBN: 3319869051 ISBN-13(EAN): 9783319869056 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Нет в наличии.
Автор: Hatti Mustapha Название: Artificial Intelligence and Renewables Towards an Energy Transition ISBN: 3030638456 ISBN-13(EAN): 9783030638450 Издательство: Springer Цена: 214280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: People use science every single day in their jobs! From a smoothie maker creating a vortex to blend fruit and vegetables to firefighters extinguishing a blaze by breaking the fire triangle, the jobs and occupations at the heart of this super-creative non-fiction read will inspire all children to seek out the everyday science in the world around us.
Автор: Lynne Bowker, Jairo Buitrago Ciro Название: Machine Translation and Global Research: Towards Improved Machine Translation Literacy in the Scholarly Community ISBN: 1787567222 ISBN-13(EAN): 9781787567221 Издательство: Emerald Рейтинг: Цена: 92140.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.
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