October 2018
Intermediate to advanced
134 pages
2h 39m
English
Overview
This book will teach readers how to harness the power of machine learning to solve challenges in healthcare analytics. Through building practical projects, you will implement algorithms and use Python libraries to analyze healthcare data effectively. By the end, you will be able to create AI-driven solutions to detect diseases and improve data analysis processes.
What this Book will help me do
- Understand machine learning techniques for processing healthcare data.
- Develop skills to apply neural networks to real-world problems, like disease detection.
- Gain confidence in implementing common Python libraries for machine learning.
- Learn to integrate diverse healthcare datasets and perform meaningful data analysis.
- Build AI models to automate and enhance healthcare decision-making processes.
Author(s)
The author, an experienced data scientist and machine learning expert, specializes in healthcare applications. With a background in both computer science and applied mathematics, they have been leading groundbreaking projects in health tech. Their passion for education and clarity shines through in their methodical and engaging writing style.
Who is it for?
This book is perfect for healthcare professionals, data analysts, and machine learning enthusiasts who want to explore the intersection of AI and healthcare. Readers should have basic programming experience, preferably in Python. It caters to those aiming to enhance their technical skills and build practical knowledge of ML applications in healthcare.
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