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analyse and evaluate contemporary market systems. The book draws on relevant real world examples to highlight how theory can help to solve or;
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systems view toward systems thinking, the authors place a high value on the thinking process and the things applied to this process. In the;
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Provides solutions for two- and three-dimensional linear models of controlled-release systems * Real-world applications are taken from used;
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solve complicated coupled models in engineering using analytical and numerical methods. It presents splitting multiscale methods to solve;
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solve complicated coupled models in engineering using analytical and numerical methods. It presents splitting multiscale methods to solve;
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This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world;
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stories and tools, it shows how to make change happen in the real world.;
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Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;
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appropriate language. 3. Using & applying mathematics in real-world contexts. This involves pupils engaging in challenges that require them to use;
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appropriate language. 3. Using & applying mathematics in real-world contexts. This involves pupils engaging in challenges that require them to use;
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appropriate language. 3. Using & applying mathematics in real-world contexts. This involves pupils engaging in challenges that require them to use;
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appropriate language. 3. Using & applying mathematics in real-world contexts. This involves pupils engaging in challenges that require them to use;
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appropriate language. 3. Using & applying mathematics in real-world contexts. This involves pupils engaging in challenges that require them to use;
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appropriate language. 3. Using & applying mathematics in real-world contexts. This involves pupils engaging in challenges that require them to use;
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of thinking that created them. If that is so, then it must surely be true of global problems. To solve global problems we need a new level of thinking;
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Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;
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in C# and explored the .NET Framework in order to develop program logic for real-world applications. What you will learn Perform statistical;
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conclusions. 2. Reasoning mathematically. This involved pupils using logical thinking to solve problems, focusing on making conjectures and;
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conclusions. 2. Reasoning mathematically. This involved pupils using logical thinking to solve problems, focusing on making conjectures and;
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conclusions. 2. Reasoning mathematically. This involved pupils using logical thinking to solve problems, focusing on making conjectures and;
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conclusions. 2. Reasoning mathematically. This involved pupils using logical thinking to solve problems, focusing on making conjectures and;
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conclusions. 2. Reasoning mathematically. This involved pupils using logical thinking to solve problems, focusing on making conjectures and;
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conclusions. 2. Reasoning mathematically. This involved pupils using logical thinking to solve problems, focusing on making conjectures and;
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computer science concepts and important computational thinking elements using practical examples Find out how to identify the best-suited;
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situations with advanced algorithms to solve advanced problems Incorporate real-world physics into simulated problems Predict biological and;
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