Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance /

• Κύριος συγγραφέας: Mathur, Puneet (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Artificial intelligence.; Python (Computer program language).; Open source software.; Computer programming.; Artificial Intelligence.; Python.; Open Source.

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you'll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you wi...

Πίνακας περιεχομένων:

• Chapter 1. Overview of machine learning in healthcare
• Chapter 2. Key technological advancements in healthcare
• Chapter 3. How to implement machine learning in healthcare
• Chapter 4. Case studies on how organizations are changing the game in the market
• Chapter 5. Pitfalls to avoid while implementing machine learning in healthcare
• Chapter 6. Healthcare specific innovative Ideas for monetizing machine learning
• Chapter 7. Overview of machine learning in retail
• Chapter 8. Key technological advancements in retail
• Chapter 9. How to implement machine learning in retail
• Chapter 10. Case studies on how organizations are changing the game in the market
• Chapter 11. Pitfalls to avoid while implementing machine learning in retail
• Chapter 12. Retail specific innovative Ideas for monetizing machine learning
• Chapter 13. Overview of machine learning in finance
• Chapter 14. Key technological advancements in finance
• Chapter 15. How to implement machine learning in finance
• Chapter 16. Case studies on how organizations are changing the game in the market
• Chapter 17. Pitfalls to avoid while implementing machine learning in finance
• Chapter 18. Finance specific innovative Ideas for monetizing machine learning. .