Opening book details…
Can I read Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments on EtoBox?
Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments by Joshua Arvin Lat is a nonfiction available to read on EtoBox.
What is Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments about?
A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon SageMaker Key Features Perform ML experiments with built-in and custom algorithms in SageMaker Explore proven solutions when working with TensorFlow, PyTorch, Hugging Face Transformers, and scikit-learn Use the different features and capabilities of SageMaker to automate relevant ML processes Book Description Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this book, you'll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems. This step-by-step guide features 80 proven recipes designed to give you the hands-on machine learning experience needed to contribute to real-world experiments and projects. You'll cover the algorithms and techniques that are commonly used when training and deploying NLP, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning libraries and frameworks such as TensorFlow, PyTorch, and Hugging Fac
Who reads Machine Learning with Amazon SageMaker Cookbook: 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Joshua Arvin Lat
- Publisher
- Packt Publishing, Limited
- Published
- 2021
- Language
- EN
- ISBN
- 9781800567030
- Category
- nonfiction
- Subjects
- Science, Stem
Other editions & translations
More by Joshua Arvin Lat
Browse all works by Joshua Arvin Lat
Similar books
- Learn Amazon SageMaker : A Guide to Building, Training, and Deploying Machine Learning Models for Developers and Data Scientists — Francesco Pochetti Julien Simon (2020)
- AMAZON SAGEMAKER BEST PRACTICES : Proven Tips and Tricks to Build Successful Machine Learning... Solutions on Amazon Sagemaker — Sireesha Muppala, Randy DeFauw, Shelbee Eigenbrode (2021)
- Machine Learning for Business : Using Amazon SageMaker and Jupyter — Richard Nichol Doug Hudgeon (2020)
- Accelerate Deep Learning Workloads with Amazon SageMaker : Train, Deploy, and Scale Deep Learning Models Effectively Using Amazon SageMaker — Vadim Dabravolski (2022)
- GETTING STARTED WITH AMAZON SAGEMAKER STUDIO : Learn to Build End-to-end Machine Learning... Projects in the Sagemaker Machine Learning Ide — Michael. Hsieh (2022)
- Mastering Machine Learning on AWS : Advanced Machine Learning in Python Using SageMaker, Apache Spark, and TensorFlow — Dr. Saket S.R. Mengle, Maximo Gurmendez (2019)