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Description
"AI-Driven Data Modeling: Transforming Insights and Decision-Making" explores the cutting-edge intersection of artificial intelligence and data modeling, offering a comprehensive guide for data professionals, AI enthusiasts, and decision-makers. This book provides a deep dive into how AI technologies can revolutionize traditional data modeling practices, unlocking new levels of insight and efficiency.
In this enlightening work, you'll discover:
The Evolution of Data Modeling: Trace the development of data modeling techniques from traditional approaches to modern AI-driven methods. AI Fundamentals: Gain a solid understanding of artificial intelligence and machine learning, including key algorithms and concepts that drive innovative data modeling. Integration of AI with Data Models: Learn how to leverage AI to automate and enhance data modeling processes, supported by practical case studies and frameworks. Advanced AI Techniques: Explore advanced AI methodologies such as deep learning, natural language processing, and graph databases to tackle complex data modeling challenges. Implementation and Optimization: Get hands-on with tools and platforms for building, training, and deploying AI-driven data models, and learn strategies for evaluating and optimizing model performance. Ethical Considerations: Address the ethical implications of AI in data modeling, including data privacy, security, and regulatory compliance. Future Trends: Stay ahead of the curve with insights into emerging technologies and future directions in AI-driven data modeling.Whether you're a data scientist, AI researcher, or business leader looking to harness the power of AI for better data insights, this book provides the knowledge and tools you need to succeed in the evolving landscape of data modeling.
"AI-Driven Data Modeling: Transforming Insights and Decision-Making" is your essential guide to understanding and applying the latest advancements in AI to revolutionize your approach to data analysis and decision-making.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9798230221982
- Date de parution :
- 24-11-24
- Format:
- Ebook
- Protection digitale:
- /
- Format numérique:
- ePub
