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Practical Machine Learning in JavaScript

, 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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Intelligent Systems in Big Data, Semantic Web and Machine Learning

based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web;

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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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Effective Amazon Machine Learning

? of machine learning-machine learning on the cloud-with this unique guide * Create web services that allow you to perform affordable and fast machine;

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Machine Learning Theoretical Foundations and Practical Applications

learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web;

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Mining the Web

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the;

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Machine Learning for the Web

machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the;

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Learning Tensorflow.js

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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Beginner's Guide to Streamlit with Python

learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As you'll see;

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Machine Learning for Predictive Analysis

This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually;

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Machine Learning in the AWS Cloud

Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve;

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;

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Deploy Machine Learning Models to Production

is a good starting point for people who want to move to the next level of machine learning by taking pre-built models and deploying them into;

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Mathematics for Machine Learning

students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the;

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Mathematics for Machine Learning

students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the;

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Machine Learning for Text

three categories: - Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for machine learning from text such as preprocessing;

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Machine Learning for Text

three categories: - Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for machine learning from text such as preprocessing;

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Document Processing Using Machine Learning

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document;

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning;

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Practical TensorFlow.js

Is For Programmers developing deep learning solutions for the web and those who want to learn TensorFlow.js with at least minimal programming;

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Practical TensorFlow.js

Programmers developing deep learning solutions for the web and those who want to learn TensorFlow.js with at least minimal programming and software;

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AI and Machine Learning For Coders A Programmer's Guide to Artificial Intelligence

(NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount;

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Python Machine Learning

Master the frameworks, models, and techniques that enable machines to 'learn' from data Use scikit-learn for machine learning and TensorFlow for;

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Designing Machine Learning Systems with Python

already know about, or have worked with, some of the off-the-shelf machine learning models for solving common problems such as spam detection or;

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Intelligent Learning Systems

, the computational learning theory, and the use of statistics for the purpose of learning - based on previously available data.Extremely;

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Hands-On Machine Learning on Google Cloud Platform

is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to;

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Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

machine learning, evaluating the models, and deploying them as web services. Learn how you can quickly build and deploy sophisticated;

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