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Machine Learning with Core ML

ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine;

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;

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Human and Machine Learning

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement;

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Machine Learning for iOS Developers

experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized;

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Practical Java Machine Learning

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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Mastering Azure Machine Learning

Kubernetes Services with Azure Machine Learning, along with the basics of MLOps-DevOps for ML to automate your ML process as CI/CD pipeline. By the;

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Hands-On Machine Learning with ML.NET

with TensorFlow and other libraries Book DescriptionMachine learning (ML) is widely used in many industries such as science, healthcare, and;

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Hands-On Machine Learning with TensorFlow.js

is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you;

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Introduction To Machine Learning In Quantitative Finance, An

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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Introduction To Machine Learning In Quantitative Finance, An

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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Real-World Machine Learning

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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Machine Learning in the AWS Cloud

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 in Cardiovascular Medicine

machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and;

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Machine Learning with Spark -

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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Machine Learning for Adaptive Many Core Machines A Practical Approach

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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Beginning Machine Learning in the Browser

Browser, you'll be on your way to becoming an experienced Machine Learning developer. What You'll Learn Work with ML models;

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Machine Learning in Asset Pricing

environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML;

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Machine Learning in Cognitive IoT

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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Machine Learning with Microsoft Technologies

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses;

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Machine Learning with Microsoft Technologies

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses;

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine;

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Python Machine Learning for Beginners

you with a hands-on approach to learn ML fast.How Is This Book Different?AI Publishing strongly believes in learning by doing methodology;

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Machine Learning with Amazon SageMaker Cookbook

, 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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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held;

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Machine Learning with TensorFlow

machine learning engineers of all skill levels to solve their problems with ML. Chris Mattmann is the Deputy Chief Technology and;

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