Название: Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Автор: Om Prakash Jena, Bharat Bhushan, Utku Kose
Издательство: CRC Press
Год: 2022
Страниц: 292
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary Machine Learning (ML) and Deep Learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.

Название: Prediction and Analysis for Knowledge Representation and Machine Learning
Автор: Avadhesh Kumar, Shrddha Sagar, T. Ganesh Kumar
Издательство: CRC Press
Год: 2022
Страниц: 232
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Number of approaches are being defined for statistics and Machine Learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in the generation or refinement of current models. Machine Learning (ML) is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to Machine Learning algorithms. It has a significant impact on comprehending difficult scientific problems.

Название: Regression Models for Data Science in R: Statistical inference for Data Science
Автор: Yassine Mousaif
Издательство: Independently published
Год: 2022
Страниц: 132
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

What's Special about this Book: The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The student should have a basic understanding of statistical inference such as contained in "Statistical inference for Data Science". The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations. Regression models are the workhorse of Data Science. They are the most well described, practical and theoretically understood models in statistics. A data scientist well versed in regression models will be able to solve and incredible array of problems. Perhaps the key insight for regression models is that they produce highly interpretable model fits. This is unlike Machine Learning algorithms, which often sacrifice interpretability for improved prediction performance or automation.

Название: Handbook on Computational Intelligence (In 2 Volumes)
Автор: Plamen Parvanov Angelov
Издательство: World Scientific Publishing
Серия: Series on Computational Intelligence
Год: 2016
Страниц: 957
Язык: английский
Формат: pdf, epub
Размер: 30.5 MB

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, Computational Intelligence (CI), such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas - from social sciences, economics and biology, medicine and social networks, to cyber security. The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks (ANNs), and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of Computational Intelligence in decision making, the process industry, robotics, and autonomous systems. This work is a ""one-stop-shop"" for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Название: Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications
Автор: Sujata Dash, Subhendu Kumar Pani, Joel Rodrigues
Издательство: CRC Press
Год: 2022
Страниц: 382
Язык: английский
Формат: pdf (true)
Размер: 72.2 MB

The novel applications of Internet of Things (IoT) in health care data analytics can be regarded as an emerging field in Computer Science, medicine, biology application, natural environmental engineering, and pattern recognition. Deep Learning (DL) has been showing tremendous improvement in accuracy, robustness, and cross- language generalizability over conventional approaches. Machine Learning (ML) can provide computational methods for accumulating, updating, and changing knowledge in the intelligent systems, especially learning mechanisms that help us induce knowledge from the data. ML is helpful in the cases where direct algorithmic solutions are unavailable, lack formal models, or require knowledge about the application domain that is skimpy. IoT is anticipated to have the capability to change the way we work and live. These computing methods also play a significant role in the design and optimization of diverse engineering disciplines.

Название: Computer Vision and Recognition Systems: Research Innovations and Trends
Автор: Chiranji Lal Chowdhary (PhD), G. Thippa Reddy (PhD)
Издательство: Apple Academic Press, CRC Press
Год: 2022
Страниц: 273
Язык: английский
Формат: pdf (true)
Размер: 23.6 MB

This cutting-edge volume, Computer Vision and Recognition Systems: Research Innovations and Trends, focuses on how Artificial Intelligence (AI) can be used to give computers the ability to imitate human sight. It explains the essential modules that are necessary for comprehending Artificial Intelligence experiences to provide machines with the power of vision. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book discusses how Machine Learning (ML) and Deep Learning (DL) are important aspects in computer vision and recognition systems. The volume also presents a number of innovative research developments, applications, and current trends in the field.

Название: Reliable Machine Learning: Applying SRE Principles to ML in Production (Fourth Early Release)
Автор: Cathy Chen, Niall Richard Murphy, Kranti Parisa
Издательство: O’Reilly Media, Inc.
Год: 2022-02-04
Страниц: 175
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.

Название: Godot from Zero to Proficiency (Intermediate): A step-by-step guide to code your FPS with Godot
Автор: Patrick Felicia
Издательство: Independently published
Год: 2021
Страниц: 252
Язык: английский
Формат: epub
Размер: 10.2 MB

In this section we will discover how you can create very simple Artificial Intelligence (AI) to implement a cannon that fires projectiles towards your character. After completing this chapter, you will be able to: - Instantiate objects; - Make it possible for a cannon to follow and shoot at a particular object; - Modify the firing rate of the cannon; - Detect collision between the cannon balls and the player.

Название: Godot from Zero to Proficiency (Beginner): A step-by-step guide to code your game with Godot
Автор: Patrick Felicia
Издательство: Independently published
Год: 2021
Страниц: 291
Язык: английский
Формат: epub
Размер: 10.2 MB

This book will show you how you can very quickly start using Godot and code in GDScript, a scripting language similar to Python. Although it may not be as powerful as Unity or Unreal yet, Godot offers a wide range of features for you to create your video games. More importantly, this game engine is both Open Source and lightweight which means that even if you have (or you are teaching with) computers with very low technical specification, you should still be able to use Godot, and teach or learn how to code while creating video games.

Название: Godot from Zero to Proficiency (Foundations): A step-by-step guide to create your game with Godot
Автор: Patrick Felicia
Издательство: Independently published
Год: 2022
Страниц: 242
Язык: английский
Формат: epub
Размер: 11.8 MB

Get started with Godot and game programming fast without the headaches. Godot is a great software to create video games; however, it includes so many options and features that getting started can feel overwhelming. Without my book, most people spend too long trying to learn how to use Godot the hard way. This book is the only one that will get you to learn Godot fast without wasting so much time. This book is the first book in the series "Godot from Zero to Proficiency" where you will learn to code fast and be able to create your own video games with Godot in no time.