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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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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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, 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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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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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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Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical;
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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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. 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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, 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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for machine learning model and interpret results for optimized solutions Create and optimize custom layers for unsupported layers Apply CoreML;
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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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manner * Implement Machine Learning in the most practical way Who This Book Is For This book will appeal to any developer who wants to;
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Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning;
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concepts that make it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data;
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Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily;
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DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;
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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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started using Automated Machine Learning for use cases including classification and regression.;
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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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). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different;
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learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data;
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This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and;
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and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural;
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learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support;
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. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;
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practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use;
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