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Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple;
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user with some of the more common .NET libraries for machine learning * Implement several common machine learning techniques * Evaluate;
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mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much;
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, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple's ML services, Machine Learning for iOS Developers;
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Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at;
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This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on;
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learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries;
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Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and;
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, trends, and best practices. What You'll Learn Use the JavaScript framework for ML Build machine learning applications for the web;
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, Gonum, and GoCv for training models in Go Book DescriptionGo is the perfect language for machine learning; it helps to clearly describe complex;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on;
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examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science;
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Gain a working knowledge of advanced machine learning and explore Python's powerful tools for extracting data from images and videos Key;
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Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep;
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conceivable application of COM. COM and .NET Component Services is the first book to stress the importance of learning to use COM+ services for both;
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This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights;
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with Cognitive Computing Recipes covers the business case for machine learning and deep learning. Covering topics such as digital assistants;
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Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers;
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with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and;
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Power Platform Projects The creation and management of environments for development, testing, and production of a machine learning project How;
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Learn to leverage Amazon's powerful platform for your predictive analytics needs About This Book * Create great machine learning;
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advanced machine learning and deep learning methods for image processing and classification. You'll work with concepts such as pulse coupled neural;
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advanced machine learning and deep learning methods for image processing and classification. YoĆ¼ll work with concepts such as pulse coupled neural;
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Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical;
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. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to;
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easier to get started! Machine Learning for Business teaches you how to make your company more automated, productive, and competitive;
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