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This book provides a 'one-stop source' for all readers who are interested in a new, empirical approach to machine learning that, unlike;
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Machine learning has taken time to move into the space of academic economics. This is because empirical research in economics;
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Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular;
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hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines;
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This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;
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Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective;
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. About This Book * Second edition of the bestselling book on Machine Learning * A practical approach to key frameworks in data science, machine;
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, and it offers an obvious way to approach learning: one simply gathers statistics.;
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, and it offers an obvious way to approach learning: one simply gathers statistics. Language, Speech, and Communication;
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provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical;
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provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical;
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critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach;
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critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach;
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machine learning algorithms using a recipe-based approach Implement boosting, bagging, and stacking ensemble methods to improve machine learning;
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-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a;
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The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine;
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approach to statistical pattern recognition and the discriminative approach to statistical machine learningIncludes MATLAB/Octave programs;
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most advanced machine learning methodologies. Style and approach A practical data science tutorial designed to give you an insight into;
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approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful;
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;
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In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all;
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In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all;
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Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to;
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math and mechanics of Machine Learning via a developer-friendly approach * Get to grips with widely used Machine Learning algorithms;
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of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17;
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Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address;
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