Machine Learning with Python for Finance, Healthcare, and Business (Paperback)
Language: English
Published by Independently Published, 2025
- Softcover
- New

Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
US$ 33.21
Quantity: 1 available
Add to basketItem description from seller
Paperback. Are you ready to master machine learning not just as a theory, but as a practical tool that drives real-world innovation in finance, healthcare, and business? This book is designed for professionals, students, and enthusiasts who want to go beyond the basics of machine learning and learn how Python can be applied to solve industry-grade challenges. Unlike generic beginner books, this guide focuses on high-demand domains where machine learning is shaping the future of work, decision-making, and automation. Inside, you'll uncover: Finance Applications-Learn how to predict stock movements, detect fraudulent transactions, and optimize investment strategies using machine learning algorithms tailored to financial data.Healthcare Applications - Explore how predictive modeling helps doctors forecast patient outcomes, improve diagnostics, and analyze medical images with accuracy powered by neural networks.Business Applications-Discover how organizations use machine learning to personalize customer experiences, forecast sales trends, and streamline operations with data-driven intelligence.With hands-on Python code, step-by-step projects, and clear explanations, you'll not only learn how machine learning works but also why it works in these domains. You'll gain practical experience with: Supervised & Unsupervised Learning (Regression, Classification, Clustering)Deep Learning Models (Neural Networks, CNNs, RNNs)Natural Language Processing (NLP) for business insights and healthcare recordsTime Series Forecasting for finance and demand predictionReal projects, including fraud detection, patient readmission prediction, and customer recommendation enginesBy the end of this book, you'll have a portfolio of projects that showcase your ability to apply machine learning in some of the world's most profitable and impactful industries. Whether you are preparing for a new career, seeking a competitive edge in your business, or exploring how AI transforms decision-making, this book gives you the tools to succeed. Why This Book is Different Most machine learning books stop at teaching algorithms. This one bridges the gap between theory and application, focusing on finance, healthcare, and business-industries where employers and clients demand real expertise. Instead of learning models in isolation, you'll work through end-to-end pipelines, from preprocessing messy datasets to deploying models in real-world contexts. This makes the book a career asset, not just a study resource. Who This Book is ForStudents and professionals in finance, healthcare, or business wanting to leverage AIData enthusiasts who already know Python basics but want to apply ML in high-value sectorsEntrepreneurs and analysts looking to integrate ML into decision-making processesBeginners who want to skip generic examples and dive straight into industry relevanceIf you're searching for a book that doesn't just teach you what machine learning is but shows you how to make it profitable, impactful, and career-boosting in finance, healthcare, and business-then this is the resource you've been waiting for. Don't just learn machine learning. Learn how to apply it where it matters most. Grab your copy today and start building machine learning solutions that drive real-world results!!! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798263008642
- Title
- Machine Learning with Python for Finance, Healthcare, and Business (Paperback)
- Author
- Beth Thompson
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798263008642
This book is designed for professionals, students, and enthusiasts who want to go beyond the basics of machine learning and learn how Python can be applied to solve industry-grade challenges. Unlike generic beginner books, this guide focuses on high-demand domains where machine learning is shaping the future of work, decision-making, and automation.
Inside, you’ll uncover:
- Finance Applications—Learn how to predict stock movements, detect fraudulent transactions, and optimize investment strategies using machine learning algorithms tailored to financial data.
- Healthcare Applications – Explore how predictive modeling helps doctors forecast patient outcomes, improve diagnostics, and analyze medical images with accuracy powered by neural networks.
- Business Applications—Discover how organizations use machine learning to personalize customer experiences, forecast sales trends, and streamline operations with data-driven intelligence.
With hands-on Python code, step-by-step projects, and clear explanations, you’ll not only learn how machine learning works but also why it works in these domains. You’ll gain practical experience with:
- Supervised & Unsupervised Learning (Regression, Classification, Clustering)
- Deep Learning Models (Neural Networks, CNNs, RNNs)
- Natural Language Processing (NLP) for business insights and healthcare records
- Time Series Forecasting for finance and demand prediction
- Real projects, including fraud detection, patient readmission prediction, and customer recommendation engines
Why This Book is Different
Most machine learning books stop at teaching algorithms. This one bridges the gap between theory and application, focusing on finance, healthcare, and business—industries where employers and clients demand real expertise.
Instead of learning models in isolation, you’ll work through end-to-end pipelines, from preprocessing messy datasets to deploying models in real-world contexts. This makes the book a career asset, not just a study resource.
Who This Book is For
- Students and professionals in finance, healthcare, or business wanting to leverage AI
- Data enthusiasts who already know Python basics but want to apply ML in high-value sectors
- Entrepreneurs and analysts looking to integrate ML into decision-making processes
- Beginners who want to skip generic examples and dive straight into industry relevance
If you’re searching for a book that doesn’t just teach you what machine learning is but shows you how to make it profitable, impactful, and career-boosting in finance, healthcare, and business—then this is the resource you’ve been waiting for.
Don’t just learn machine learning. Learn how to apply it where it matters most.
Grab your copy today and start building machine learning solutions that drive real-world results!!!
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
Shipping rates within U.S.A.
| Item | 6 to 14 business days | 6 to 16 business days |
|---|---|---|
| First item | US$ 0.00 | US$ 0.00 |
Payment methods
Seller's business information
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE U.S.A. 19805
Terms of sale
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Shipping terms
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.