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Reactive Publishing

Financial Data Science: Harnessing Python and Machine Learning for Smarter Investments is an essential guide for investors, financial analysts, and data enthusiasts looking to leverage cutting-edge tools for smarter, data-driven decision-making. This book introduces the intersection of finance, Python, and machine learning, providing readers with practical strategies to enhance investment strategies and optimize portfolio management.

Through detailed examples and real-world case studies, you'll learn how to implement powerful machine learning algorithms to analyze financial data, predict market trends, and make more informed investment choices. The book covers everything from basic Python programming for finance to advanced techniques in data science, such as time series analysis, risk management, and algorithmic trading. Whether you're a beginner or an experienced practitioner, you'll discover how to harness the full potential of Python and machine learning to stay ahead of the curve in the ever-evolving world of finance.

Perfect for anyone looking to take their financial strategies to the next level, this book will equip you with the knowledge and tools to navigate the complexities of modern investment markets with confidence.

Parametry knihy

Zařazení knihy Knihy v němčině Sozialwissenschaften, Recht, Wirtschaft Wirtschaft Management

• Plný název: Financial Data Science
• Autor: Hayden van der Post, Alice Schwartz
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 410
• EAN: 9798306396408
• ID: 47229306
• Nakladatelství: Amazon Digital Services LLC - Kdp
• Hmotnost: 544 g
• Rozměry: 229 × 152 × 21 mm
• Datum vydání: 09. January 2025

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