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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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Introduction To Machine Learning In Quantitative Finance, An

well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you;

Vergelijkbare producten zoals Introduction To Machine Learning In Quantitative Finance, An

Introduction To Machine Learning In Quantitative Finance, An

well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you;

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Machine Learning with Core ML

execute style transfer on images Who this book is forMachine Learning with Core ML is for you if you are an intermediate iOS developer interested;

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Hands-On Machine Learning with TensorFlow.js

Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively Key Features Build;

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Machine Learning for iOS Developers

, 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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Mastering Azure Machine Learning

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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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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Hands-On Machine Learning with C++

supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for;

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Practical Java Machine Learning

Learning includes multiple projects, with particular focus on the Android mobile platform and features such as sensors, camera, and connectivity;

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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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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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Hands-On Machine Learning with Azure

ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML;

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Machine Learning with R, tidyverse, and mlr

best ML model for your task * A variety of hands-on coding exercises * ML best practices For readers with basic;

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Building Machine Learning Powered Applications Going from Idea to Product

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on;

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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 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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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 Engineering with MLflow

Get up and running, and productive in no time with MLflow using the most effective machine learning engineering approach Key Features;

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Machine Learning Engineering with Python

high-quality machine learning products and services. Machine Learning Engineering with Python takes a hands-on approach to help you get to;

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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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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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Practical Machine Learning in JavaScript

learning concepts and applications. You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js;

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Keras to Kubernetes

manage your image and text data with Machine Learning A A A Reuse examples as-is to deploy your models A A A Understand the ML model;

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Machine Learning with Microsoft Technologies

is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages;

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Machine Learning with Microsoft Technologies

. Detailed content is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R;

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Einde inhoud

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