Automated Machine Learning for Business

This book PDF is perfect for those who love Business & Economics genre, written by Kai R. Larsen and published by Oxford University Press which was released on 17 June 2024 with total hardcover pages 353. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Automated Machine Learning for Business books below.

Automated Machine Learning for Business
Automated Machine Learning for Business
Author : Kai R. Larsen
File Size : 44,8 Mb
Publisher : Oxford University Press
Language : English
Release Date : 17 June 2024
ISBN : 9780190941659
Pages : 353 pages
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Automated Machine Learning for Business by Kai R. Larsen Book PDF Summary

This book teaches the full process of how to conduct machine learning in an organizational setting. It develops the problem-solving mind-set needed for machine learning and takes the reader through several exercises using an automated machine learning tool. To build experience with machine learning, the book provides access to the industry-leading AutoML tool, DataRobot, and provides several data sets designed to build deep hands-on knowledge of machinelearning.

Automated Machine Learning for Business

Automated Machine Learning for Business by Kai R. Larsen,Daniel S. Becker

This book teaches the full process of how to conduct machine learning in an organizational setting. It develops the problem-solving mind-set needed for machine learning and takes the reader through several exercises using an automated machine learning tool. To build experience with machine learning, the book provides access to the

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Automated Machine Learning

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Automated Machine Learning for Business

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Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data science that requires only a few weeks to learn instead of years of training Though the concept of computers learning to solve a problem may still conjure thoughts of futuristic artificial

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Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies Key FeaturesGet up to speed with AutoML using OSS, Azure, AWS, GCP, or any platform of your choiceEliminate mundane tasks in data engineering and reduce human errors in machine learning modelsFind out

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Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine learning components Understand each component of a machine learning pipeline in depth Learn to use different open source AutoML and feature engineering platforms Book Description AutoML is designed to automate parts of

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Artificial Intelligence and Machine Learning for Business for Non Engineers

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The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to

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Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural network.Tune TPOT

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