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Combine Predictive and Prescriptive Analytics for Better Decision Making
Most BI tools have addressed only descriptive and diagnostic analytics — rarely predictive or prescriptive analytics. This means they fail to recommend specific decisions or actions that would improve measurable value outcomes.
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Chapter 4 - How can Machine Learning and Mathematical Optimization help with decisions?
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Chapter 5 - Is there an example where Machine Learning and Optimization work together?
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Chapter 3 - Where do you see the opportunity to integrate Machine Learning and Mathematical Optimization?
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Finding Mathematical Optimization in Unexpected Places: Games and Puzzles
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Choosing a Math Programming Solver
A mathematical programming solver can give you the power to tackle your complex, real-world business problems and make optimal decisions that boost your company’s efficiency and profitability. However, with so many options out there to choose from, how do you select the right solver for your business needs? In this eBook, we guide you through the step-by-step process of choosing a mathematical programming solver
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Mathematical Optimization: What You Need to Know
In this whitepaper, we will provide a general overview of MO, share some success stories of companies that have achieved tremendous operational and bottom-line benefits using MO technologies, explain the relationship between MO and artificial intelligence (AI), and discuss the importance of combining MO with machine learning (ML).
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