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Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow;
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have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;
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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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Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth;
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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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of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change;
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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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100 recipes that teach you how to perform various machine learning tasks in the real world About This Book * Understand which;
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balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics;
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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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Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book * Fully-coded;
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DESCRIPTION In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical;
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scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorithms;
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Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;
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tools in a wide range of techniques, with code and practical usage. * More than 10 real-world case studies in machine learning highlighting;
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Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and;
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skills have been used and tested in real-world applications. Integrates machine learning with knowledge acquisition to overcome the;
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DESCRIPTION Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning;
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-for-purpose machine learning models to solve real-world problems in subsurface geosciences.;
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applies them to analyze finance data sets * Real world applicable examples to further understanding;
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applies them to analyze finance data sets * Real world applicable examples to further understanding;
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science and machine learning techniques to draw insights from real-world data Understand what IBM Cloud platform can help you to implement;
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Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes;
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, machine learning, and natural language processing through diagrams, source code, and real-world applications * This step-by-step guide will help;
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learning case studies, all based on real-world data, and offers solutions and solves specific machine-learning issues in each one. Style and;
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