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Building Machine Learning Powered Applications Going from Idea to Product

book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product;

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Machine Learning The New AI

systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product;

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Machine Learning Systems

of failure and changes in load. But machine learning systems are different than other applications when it comes to testing, building, deploying, and;

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Machine Learning for OpenCV 4

implement them using OpenCV 4. If you want to build real-world Computer Vision and image processing applications powered by machine learning, then;

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Graph-Powered Machine Learning

naturally expressed as graphs. Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs;

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Artificial Intelligence for Automated Pricing Based on Product Descriptions

automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning;

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Advances in Machine Learning Applications in Software Engineering

Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge;

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Knowledge Acquisition and Machine Learning

For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the;

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Mastering .NET Machine Learning

4.6.1, includes examples on ASP.NET Core 1.0 * Set up your business application to start using machine learning techniques * Familiarize the;

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Practical Machine Learning with Rust

engineers interested in building machine learning applications in Rust.;

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;

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Machine Learning Applications

in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find;

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Reinforcement and Systemic Machine Learning for Decision Making

effective use of these learning methodologies to increase machine intelligence and help us in building the advance machine learning applications;

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Designing with Photovoltaics

Designing with Photovoltaics cover a broad range of topics related to the design of products, buildings and vehicles with integrated;

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Keras to Kubernetes

examples of building DL models in Keras for recognizing product logos in images and extracting sentiment from text. You will then take that trained;

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Deep Learning Applications

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE;

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Applied Machine Learning

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to;

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Machine Learning with SAP

in action in industries from manufacturing to banking. - Develop machine learning applications with SAP. - Learn to select algorithms and;

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Hands-On Python Natural Language Processing

field of NLP and its applications, along with the modern Python libraries that you'll use to build your NLP-powered apps. With the help;

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Building Machine Learning Systems with Python

datasets and libraries to help you build practical machine learning systems. Using machine learning to gain deeper insights from data is a key;

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Machine Learning for Oracle Database Professionals

conceptual understanding of machine learning. Important concepts discussed include the methods involved, the algorithms to choose from, and;

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Machine Learning

learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading;

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Deep Learning Applications Volume 2

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It;

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Machine Learning With Go

Build simple, maintainable, and easy to deploy machine learning applications. About This Book * Build simple, but powerful, machine;

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Implementing Machine Learning with SAP S/4HANA

set up services, train models, and manage applications. See how to implement machine learning for various lines of business, from finance to;

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Hands-On Machine Learning on Google Cloud Platform

services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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