Decision Science & Algorithms
Decision Science & Algorithms: The art and science of algorithms that make sense of data by Alper Ersin Balcı
English | July 31, 2024 | ISBN: N/A | ASIN: B0D9TM2DRN | 367 pages | EPUB | 0.44 Mb
English | July 31, 2024 | ISBN: N/A | ASIN: B0D9TM2DRN | 367 pages | EPUB | 0.44 Mb
Decision Science & Algorithms by Alper Ersin Balci
Make better decisions with data using "Decision Science & Algorithms." This guide covers the methodologies and techniques for data-driven decision-making. Whether you're a student, professional, or data enthusiast, this book provides insights and practical approaches for strategic decisions.What's Inside:
- Introduction to Decision Science: Understand the fundamentals and importance of decision science in today’s data-driven world.
- Quantitative Decision-Making Techniques: Learn about linear programming, integer programming, and nonlinear programming.
- Data Collection and Cleaning: Discover best practices for gathering and preparing data for analysis.
- Exploratory Data Analysis (EDA): Explore techniques to summarize and visualize data to find patterns and insights.
- Predictive Analytics: Gain knowledge on regression analysis, time series forecasting, and machine learning methods for predicting future outcomes.
- Optimization Techniques: Study dynamic programming, genetic algorithms, and simulated annealing.
- Game Theory: Learn about strategic interactions, Nash equilibrium, dominant strategies, and more.
- Decision Support Systems (DSS): Understand how to use DSS for improved decision-making in various fields.
- Artificial Intelligence in Decision Making: Explore the role of AI and machine learning in enhancing decision-making processes.
- Data Visualization: Learn how to effectively present data insights using various visualization tools and techniques.
- Big Data Analytics: Discover the tools and techniques to handle and analyze large datasets for strategic decisions.
- Comprehensive Coverage: Covers all major topics in decision science and algorithms.
- Practical Examples: Includes real-world applications and scenarios to illustrate key concepts.
- Clear and Accessible: Written in plain language for easy understanding.
- For All Levels: Suitable for beginners and advanced readers alike.