Amazon Web Services (AWS) is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.

As you go through the chapters, you'll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis.

By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.

Osoby które kupowały "Mastering Machine Learning on AWS", wybierały także:

• Microsoft Azure. Kurs video. Zosta 169,00 zÅ‚, (50,70 zÅ‚ -70%)
• Windows Azure. Wprowadzenie do programowania w chmurze 39,00 zÅ‚, (19,50 zÅ‚ -50%)
• Ansible 2 w praktyce. Automatyzacja infrastruktury, zarz 77,59 zÅ‚, (43,45 zÅ‚ -44%)
• Najlepsze praktyki w Kubernetes. Jak budowa 57,95 zÅ‚, (32,45 zÅ‚ -44%)
• Kubernetes - rozwi 67,77 zÅ‚, (37,95 zÅ‚ -44%)

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