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Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus
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Series series Intelligent Technologies and Robotics (R0)
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Series series Intelligent Technologies and Robotics (R0)
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Series series Intelligent Technologies and Robotics (R0)
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Series series Intelligent Technologies and Robotics (R0)
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Series series Springer Nature Proceedings excluding Computer Science
This book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication, and control. The book is based on the ... Leer más

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Explainable AI for Education: Recent Trends and Challenges

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Series series Education (R0)
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Series series Springer Nature Proceedings excluding Computer Science
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Series series Intelligent Technologies and Robotics (R0)
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Series series Intelligent Technologies and Robotics (R0)
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Series series Computer Science (R0)
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Mastering Java for Data Science

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de Alexey Grigorev ...

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de Renato Baruti ...

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de Hans-Jürgen Schönig ...

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eBooks de Procesamiento de datos

Building Machine Learning Pipelines

Technology Innovation for Business Intelligence and Analytics (TIBIA)

Data Analytics for Smart Robotics and Its Applications

Communicating Data with Tableau

Building an Event-Driven Data Mesh

Streaming Databases

Artificial Intelligence in Education: The Intersection of Technology and Pedagogy

Artificial Intelligence for Materials Informatics

Computational Intelligence in Engineering and Project Management

Applications in Electronics Pervading Industry, Environment and Society

Explainable AI for Education: Recent Trends and Challenges

Scenarios, Fictions, and Imagined Possibilities in Science, Engineering, and Education

Optimization of Spiking Neural Networks for Radar Applications

Data-Driven Innovation for Intelligent Technology

Machine Learning and Granular Computing: A Synergistic Design Environment

Early Detection of Mental Health Disorders by Social Media Monitoring

Les émotions dans le discours / Emotions in Discourse

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Blockchain for Enterprise

Stream Analytics with Microsoft Azure

Mastering Java for Data Science

Learning Alteryx

Troubleshooting PostgreSQL

Mastering DynamoDB