机器学习和深度学习简介

机器学习-简介 (Machine Learning - Introduction)

Today’s Artificial Intelligence (AI) has far surpassed the hype of blockchain and quantum computing. This is due to the fact that huge computing resources are easily available to the common man. The developers now take advantage of this in creating new Machine Learning models and to re-train the existing models for better performance and results. The easy availability of High Performance Computing (HPC) has resulted in a sudden increased demand for IT professionals having Machine Learning skills.

当今的人工智能(AI)远远超过了区块链和量子计算的炒作。 这是因为事实是，普通人很容易获得大量的计算资源。 开发人员现在可以利用此优势来创建新的机器学习模型，并对现有模型进行重新训练，以获得更好的性能和结果。 高性能计算(HPC)的便捷可用性导致对具有机器学习技能的IT专业人员的需求突然增加。

In this tutorial, you will learn in detail about −

在本教程中，您将详细了解-

What is the crux of machine learning?

机器学习的关键是什么？

• What are the different types in machine learning?

  机器学习有哪些不同类型？

• What are the different algorithms available for developing machine learning models?

  开发机器学习模型有哪些不同的算法？

• What tools are available for developing these models?

  有哪些工具可用于开发这些模型？

• What are the programming language choices?

  编程语言有哪些选择？

• What platforms support development and deployment of Machine Learning applications?

  哪些平台支持机器学习应用程序的开发和部署？

• What IDEs (Integrated Development Environment) are available?

  有哪些可用的IDE(集成开发环境)？

• How to quickly upgrade your skills in this important area?

  如何快速提升您在这一重要领域的技能？

翻译自: https://www.tutorialspoint.com/machine_learning/machine_learning_introduction.htm

机器学习和深度学习简介