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    3. Decision Science & Algorithms

    Decision Science & Algorithms

    Posted By: TiranaDok
    Date: 8 Nov 2024 19:17:43
    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

    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.
    Why Read This Book:
    • 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.

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