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apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar;
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Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine;
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; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part;
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Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies Key;
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This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future;
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tree-ensembles, recommendation engines and deep neural networks on Azure Machine Learning Use hyperparameter tuning and Azure Automated Machine;
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easier to get started! Machine Learning for Business teaches you how to make your company more automated, productive, and competitive;
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is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM;
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Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular;
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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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Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;
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Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;
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Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers;
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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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Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications;
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use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future;
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Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical;
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also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and;
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on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers;
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on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*The 93 papers presented;
Vergelijkbare producten zoals Intelligent Data Engineering and Automated Learning IDEAL 2020
on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.*The 93 papers presented;
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on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers;
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This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence;
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The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;
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hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines;
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A hands-on user's guide to managing the ASTD Workplace Learning and Performance (WLP) Scorecard for the training profession. This title;
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Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn;
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