Mastering Azure Machine Learning
Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
Christoph Körner & Kaijisse Waaijer
Mastering Azure Machine Learning
Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
Christoph Körner & Kaijisse Waaijer
Paperback
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Engels
€ 47,50
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Omschrijving
This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights.
Christoph Körner recently worked as a cloud solution architect for Microsoft, specialising in Azure-based big data and machine learning solutions, where he was responsible to design end-to-end machine learning and data science platforms. For the last few months, he has been working as a senior software engineer at HubSpot, building a large-scale analytics platform. Before Microsoft, Christoph was the technical lead for big data at T-Mobile, where his team designed, implemented, and operated large-scale data analytics and prediction pipelines on Hadoop. He has also authored three books: Deep Learning in the Browser (for Bleeding Edge Press), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS (both for Packt). Kaijisse Waaijer is an experienced technologist specializing in data platforms, machine learning, and the Internet of Things. Kaijisse currently works for Microsoft EMEA as a data platform consultant specializing in data science, machine learning, and big data. She works constantly with customers across multiple industries as their trusted tech advisor, helping them optimize their organizational data to create better outcomes and business insights that drive value using Microsoft technologies. Her true passion lies within the trading systems automation and applying deep learning and neural networks to achieve advanced levels of prediction and automation.
Christoph Körner recently worked as a cloud solution architect for Microsoft, specialising in Azure-based big data and machine learning solutions, where he was responsible to design end-to-end machine learning and data science platforms. For the last few months, he has been working as a senior software engineer at HubSpot, building a large-scale analytics platform. Before Microsoft, Christoph was the technical lead for big data at T-Mobile, where his team designed, implemented, and operated large-scale data analytics and prediction pipelines on Hadoop. He has also authored three books: Deep Learning in the Browser (for Bleeding Edge Press), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS (both for Packt). Kaijisse Waaijer is an experienced technologist specializing in data platforms, machine learning, and the Internet of Things. Kaijisse currently works for Microsoft EMEA as a data platform consultant specializing in data science, machine learning, and big data. She works constantly with customers across multiple industries as their trusted tech advisor, helping them optimize their organizational data to create better outcomes and business insights that drive value using Microsoft technologies. Her true passion lies within the trading systems automation and applying deep learning and neural networks to achieve advanced levels of prediction and automation.