Machine Learning for FInance: Master Financial Strategies with Python-Powered Machine Learning
Language: English
Published by Independently published, 2024
- Softcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
US$ 55.14
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Add to basketItem description from seller
In English.
Seller Inventory # ria9798326765390_new
- Title
- Machine Learning for FInance: Master Financial Strategies with Python-Powered Machine Learning
- Author
- Van Der Post, Hayden; Bisette, Vincent
- Publisher
- Independently published
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798326765390
- Item weight
- 738 grams
Unlock the full potential of your financial analysis with "Machine Learning for Finance." This comprehensive guide takes you from the basics of Python programming to advanced machine learning techniques tailored specifically for financial applications. Perfect for finance professionals, data scientists, and anyone eager to harness the power of AI in finance, this book provides:
- Step-by-step tutorials on Python and key machine learning libraries.
- Practical case studies demonstrating real-world financial applications.
- Techniques for predicting stock prices, managing risk, and optimizing portfolios.
- Insights into the latest trends in financial technology.
Written by an industry expert, "Machine Learning for Finance" bridges the gap between finance and technology, equipping you with the tools to make data-driven decisions and stay ahead in the competitive financial landscape. Whether you're a seasoned professional or a curious beginner, this book is your ultimate resource for mastering the intersection of finance and machine learning.
Transform your financial strategies with Python and join the future of finance today!
"Synopsis" may belong to another edition of this title.
Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
Shipping rates from United Kingdom to U.S.A.
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