本文汇总了机器学习团队常用的优秀工具、库、框架及方法论，包括模型服务的最佳工具、Apache Spark教程、使用Streamlit构建机器学习应用等内容，为数据科学家提供全面的技术指南。
The Best Tools, Libraries, Frameworks and Methodologies that Machine Learning Teams Actually Use
https://neptune.ai/blog/tools-libraries-frameworks-methodologies-ml-startups-roundup
The Best MLOps Tools You Need to Know as a Data Scientist
https://neptune.ai/blog/best-mlops-tools
Best Tools To Do ML Model Serving
https://neptune.ai/blog/ml-model-serving-best-tools
Apache Spark Tutorial: Get Started With Serving ML Models With Spark
https://neptune.ai/blog/apache-spark-tutorial
Streamlit Guide: How to Build Machine Learning Applications
https://neptune.ai/blog/streamlit-guide-machine-learning
The Best ML Frameworks & Extensions for Scikit-learn
https://neptune.ai/blog/the-best-ml-framework-extensions-for-scikit-learn
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