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Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines

Автор: Limpopo5 от 2021-06-13, 04:20:57
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Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation PipelinesНазвание: Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines
Автор: Heli Helskyaho, Jean Yu, Kai Yu
Издательство: Apress
Год: 2021
Страниц: 300
Язык: английский
Формат: pdf (true), epub
Размер: 17.4 MB

Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle’s Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML Notebooks, OML4R, and OML4Py. The book focuses on Oracle Machine Learning as part of the Oracle Autonomous Database collaborative environment. Also covered are advanced topics such as delivery and automation pipelines.

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Автор: Limpopo5 от 2021-06-05, 09:01:44
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Deep Neural Networks for Multimodal Imaging and Biomedical ApplicationsНазвание: Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Автор: Annamalai Suresh, R. Udendhran, S. Vimal
Издательство: IGI Global
Год: 2020
Страниц: 310
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Автор: Limpopo5 от 2021-06-04, 14:21:20
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Machine Intelligence and Data Analytics for Sustainable Future Smart CitiesНазвание: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Автор: Uttam Ghosh, Yassine Maleh
Издательство: Springer
Год: 2021
Страниц: 413
Язык: английский
Формат: pdf (true)
Размер: 15.2 MB

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and Big Data models and techniques. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and data analytics for sustainable future smart city applications.

Machine Learning in Asset Pricing

Автор: Limpopo5 от 2021-06-03, 12:25:10
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Machine Learning in Asset PricingНазвание: Machine Learning in Asset Pricing
Автор: Stefan Nagel
Издательство: Princeton University Press
Год: 2021
Страниц: 157
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

A groundbreaking, authoritative introduction to how Machine Learning (ML) can be applied to asset pricing. Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of Machine Learning are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing.

Enabling Machine Learning Applications in Data Science

Автор: Limpopo5 от 2021-05-29, 18:11:20
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Enabling Machine Learning Applications in Data ScienceНазвание: Enabling Machine Learning Applications in Data Science
Автор: Aboul Ella Hassanien, Ashraf Darwish
Издательство: Springer
Год: 2021
Страниц: 392
Язык: английский
Формат: pdf (true)
Размер: 15.6 MB

Today, it is all about the connected smarter world based on the new emerging technologies and Artificial Intelligence (AI) for sustainable development. Sustainable development purposes have been designed for meeting the human development goals while simultaneously sustaining the ability of natural resources in order to maintain the natural resources. AI and emerging technologies are currently used with many areas of applications in most sectors of the states. They can help humankind in achieving sustainability through technology for a more sustainable future for all.

Self-Service Data Analytics and Governance for Managers

Автор: Limpopo5 от 2021-05-28, 03:41:49
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Self-Service Data Analytics and Governance for ManagersНазвание: Self-Service Data Analytics and Governance for Managers
Автор: Nathan E. Myers, Gregory Kogan
Издательство: Wiley
Год: 2021
Страниц: 352
Язык: английский
Формат: epub
Размер: 10.1 MB

Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own handsю Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment.

Responsible AI: Designing, Building, and Assessing Machine Learning and AI (Early Release)

Автор: Limpopo5 от 2021-05-27, 03:13:56
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Responsible AI: Designing, Building, and Assessing Machine Learning and AI (Early Release)Название: Responsible AI: Designing, Building, and Assessing Machine Learning and AI (Early Release)
Автор: Patrick Hall, Rumman Chowdhury
Издательство: O’Reilly Media, Inc.
Год: 2021-05-26
Язык: английский
Формат: epub
Размер: 10.1 MB

The past decade has witnessed a wide adoption of Artificial Intelligence and Machine Learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.

Text Data Mining

Автор: Limpopo5 от 2021-05-23, 23:26:23
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Text Data MiningНазвание: Text Data Mining
Автор: Chengqing Zong, Rui Xia
Издательство: Springer, Tsinghua University Press
Год: 2021
Страниц: 363
Язык: английский
Формат: pdf (true), epub
Размер: 25.7 MB

Focuses on text data mining from an NLP perspective. This book discusses various aspects of text data mining. Unlike other books that focus on Machine Learning (ML) or databases, it approaches text data mining from a natural language processing (NLP) perspective. Text mining is a confluence of natural language processing, data mining, Machine Learning, and statistics used to mine knowledge from unstructured text. There have already been multiple textbooks dedicated to data mining, Machine Learning, statistics, and natural language processing. However, we seriously lack textbooks on text mining that systematically introduce important topics and up-to-date methods for text mining.

Data Science for Business Professionals: A Practical Guide for Beginners

Автор: Limpopo5 от 2021-05-23, 21:08:57
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Data Science for Business Professionals: A Practical Guide for BeginnersНазвание: Data Science for Business Professionals: A Practical Guide for Beginners
Автор: Probyto Data Science and Consulting Pvt. Ltd.
Издательство: BPB Publications
Год: 2020
Страниц: 366
Язык: английский
Формат: epub
Размер: 12.7 MB

Primer into the multidisciplinary world of Data Science. The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset.

The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms

Автор: Limpopo5 от 2021-05-17, 03:24:40
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The Democratization of Artificial Intelligence: Net Politics in the Era of Learning AlgorithmsНазвание: The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms
Автор: Andreas Sudmann
Издательство: Transcript Publishing
Год: 2020
Страниц: 332
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The recent explosion in interest in both the democratization of data and artificial intelligence (AI) brings important questions to the fore: How democratic is AI? How to explore the political aspects of modern machine learning if many computer scientists consider AI technologies a black box fundamentally opaque to human understanding? And how does this affect questions of accountability and political agency?

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