- Learn Amazon SageMaker
- Julien Simon;Francesco Pochetti
- 119字
- 2021-04-09 23:11:22
In this section, you will understand how to build and train machine learning models with Amazon SageMaker. This part covers AutoML, built-in algorithms, built-in frameworks, and helps you design your own code. Using notebooks based on the SageMaker SDK,it will explain how to read training data, how to set up training jobs, how to define training parameters, and how to train on fully managed infrastructure.
This section comprises the following chapters:
Chapter 3, AutoML with Amazon SageMaker AutoPilot
Chapter 4, Training Machine Learning Models
Chapter 5, Training Computer Vision Models
Chapter 6, Training Natural Language Processing Models
Chapter 7, Extending Machine Learning Services Using Built-In Frameworks
Chapter 8, Using Your Algorithms and Code
- Citrix XenApp? 7.5 Desktop Virtualization Solutions
- Splunk：Enterprise Operational Intelligence Delivered
- 審計綜合模擬實訓
- Learning Informatica PowerCenter 9.x
- 審計基礎
- Salesforce Essentials for Administrators
- 審計全流程實操從入門到精通
- 從零開始學房地產會計
- Minitab Cookbook
- 政策建模技術：CGE模型的理論與實現
- 統計學視角下的金融高頻數據挖掘理論與方法研究
- 圖解經濟博弈論（圖解經濟學叢書）
- 規范內部審計的28個技巧
- PMP 5A備考寶典
- 獨立審計質量的激勵治理模式研究