Machine Learning and AI for Healthcare
Big Data for Improved Health Outcomes
| Price | $34.45 - $35.99
|
| Rating |   |
| Author | Arjun Panesar |
| Publisher | Apress |
| Published | 2019 |
| Pages | 368 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1484237986 |
| ISBN-13 | 9781484237984 |
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.
You'll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You'll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization.
Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things.
Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare; Implement machine learning systems, such as speech recognition and enhanced deep learning/AI; Select learning methods/algorithms and tuning for use in healthcare; Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents.
- Arjun Panesar
4 5 27
Similar Books
Applied Machine Learning and AI for Engineers
by Jeff Prosise
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for s...
Price: $44.99 | Publisher: O'Reilly Media | Release: 2022
Quantum Machine Learning and Optimisation in Finance
by Antoine Jacquier, Oleksiy Kondratyev
With recent advances in quantum computing technology, we finally reached the era of Noisy Intermediate-Scale Quantum (NISQ) computing. NISQ-era quantum computers are powerful enough to test quantum computing algorithms and solve hard real-world problems faster than classical hardware.Speedup is so important in financial applications, rang...
Price: $35.99 | Publisher: Packt Publishing | Release: 2022
by Nick Pentreath
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2015
by Jeffrey Jackovich, Ruze Richards
Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
Machine Learning with PyTorch and Scikit-Learn
by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the...
Price: $40.00 | Publisher: Packt Publishing | Release: 2022
Hands-On Machine Learning with C++
by Kirill Kolodiazhnyi
C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to...
Price: $31.19 | Publisher: Packt Publishing | Release: 2020
Python Machine Learning, 3rd Edition
by Sebastian Raschka, Vahid Mirjalili
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the...
Price: $35.99 | Publisher: Packt Publishing | Release: 2019
AI for Healthcare with Keras and Tensorflow 2.0
by Anshik Bansal
Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries.This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The...
Price: $36.74 | Publisher: Apress | Release: 2021