Machine Learning for Healthcare Analytics Projects

Build smart AI applications using neural network methodologies across the healthcare vertical market



Bookstore > Books > Machine Learning for Healthcare Analytics Projects

Price$23.99 - $31.30
Rating
AuthorEduonix Learning Solutions
PublisherPackt Publishing
Published2018
Pages134
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101789536596
ISBN-139781789536591
EBook Hardcover Paperback

Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.

This book will teach you how to implement key machine learning algorithms and walk you through their use cases by employing a range of libraries from the Python ecosystem. You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain new insights, which will then help you handle healthcare data efficiently. As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients. You will also learn how to predict heart diseases using neural networks.

By the end of this book, you will have learned how to address long-standing challenges, provide specialized solutions for how to deal with them, and carry out a range of cognitive tasks in the healthcare domain.



5 5 1

Similar Books


Machine Learning for Hackers

Machine Learning for Hackers

by Drew Conway, John Myles White

If you're an experienced programmer interested in crunching data, this book will get you started with machine learning - a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of ha...

Price:  $18.12  |  Publisher:  O'Reilly Media  |  Release:  2012

Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision

by Valliappa Lakshmanan, Martin Görner, Ryan Gillard

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a gr...

Price:  $59.54  |  Publisher:  O'Reilly Media  |  Release:  2021

Machine Learning with AWS

Machine Learning with AWS

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 for Streaming Data with Python

Machine Learning for Streaming Data with Python

by Joos Korstanje

Streaming data is the new top technology to watch out for in the field of data science and machine learning. As business needs become more demanding, many use cases require real-time analysis as well as real-time machine learning. This book will help you to get up to speed with data analytics for streaming data and focus strongly on adapt...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2022

Go Machine Learning Projects

Go Machine Learning Projects

by Xuanyi Chew

Go is the perfect language for machine learning; it helps to clearly describe complex algorithms, and also helps developers to understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but...

Price:  $44.88  |  Publisher:  Packt Publishing  |  Release:  2018

C# Machine Learning Projects

C# Machine Learning Projects

by Yoon Hyup Hwang

Machine learning is applied in almost all kinds of real-world surroundings and industries, right from medicine to advertising; from finance to scientifc research. This book will help you learn how to choose a model for your problem, how to evaluate the performance of your models, and how you can use C# to build machine learning models for...

Price:  $41.63  |  Publisher:  Packt Publishing  |  Release:  2018

Adaptive Machine Learning Algorithms with Python

Adaptive Machine Learning Algorithms with Python

by Chanchal Chatterjee

Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own u...

Price:  $26.59  |  Publisher:  Apress  |  Release:  2022

Machine Learning with Spark

Machine Learning with Spark

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