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learning models and then integrate them into your iOS apps. Machine Learning with Core ML is a fun and practical guide that not only demystifies;
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Become a professional iOS developer with the most in-depth and advanced guide to Swift, Xcode 10, ARKit, and Core ML Key Features;
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Become a professional iOS developer with the most in-depth and advanced guide to Swift 5.3, Xcode 12.4, ARKit 4, Core ML, and iOS 14's new;
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With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;
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With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;
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experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized;
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learning models efficiently on Spark using Azure Databricks Deploy machine learning models for batch and real-time scoring with Azure Kubernetes;
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Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data;
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with TensorFlow and other libraries Book DescriptionMachine learning (ML) is widely used in many industries such as science, healthcare, and;
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want to implement various machine-learning concepts in the context of Spark ML, this book is for you. You should be well versed with the Scala and;
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Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively Key Features Build;
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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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about the types of ML systems, how they are used, and challenges you may face with ML solutions. Part Two focuses on machine learning services;
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machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and;
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uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the;
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uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the;
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range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML;
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Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses;
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Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses;
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understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations;
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of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and;
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environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML;
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Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence;
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, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning;
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