Model Development模型开发

Before the timestamp 2:46 in the previous video Open Source Tools for Data Science - Part 1 , there is a gap in the information concerning Model Development. The missing information has now been included below.
在之前视频《Open Source Tools for Data Science - Part 1》中 2 分 46 秒的时间戳之前，关于模型开发的信息存在缺失。现已将缺失内容补充如下。

IBM offers various tools and platforms tailored for model development across various domains. Here are a few examples:
IBM 提供多种针对不同领域模型开发的工具和平台。以下是一些示例：

• IBM Watson Studio: Engineered as an integrated environment, Watson Studio simplifies developing, training, and deploying models. It boasts support for multiple languages and frameworks, such as Python, R, and TensorFlow, alongside collaboration features, data preparation tools, and versatile deployment options.
  IBM Watson Studio：作为一个集成环境，Watson Studio 简化了模型的开发、训练和部署。它支持多种语言和框架，如 Python、R 和 TensorFlow，并提供协作功能、数据准备工具和多种部署选项。
• IBM AutoAI: A notable feature embedded within Watson Studio, IBM AutoAI streamlines the machine learning model construction process. By dynamically exploring various algorithms and hyperparameters, it aims to identify the optimal model for a given dataset.
  IBM AutoAI：作为 Watson Studio 中的一个显著功能，IBM AutoAI 简化了机器学习模型构建过程。通过动态探索各种算法和超参数，它旨在为给定数据集识别最佳模型。
• IBM Watson OpenScale: As a platform for overseeing and managing AI models in production, Watson OpenScale plays a pivotal role in ensuring model fairness, explainability, and bias mitigation. It furnishes insights into model performance and drift over time, facilitating informed decision-making.
  IBM Watson OpenScale：作为一个用于监督和管理生产中 AI 模型的平台，Watson OpenScale 在确保模型公平性、可解释性和偏差缓解方面发挥着关键作用。它提供了有关模型性能和随时间变化的洞察，从而促进明智的决策。
• IBM Watson Machine Learning: Watson Machine Learning, available as a service on the IBM Cloud platform, enables users to scale their training and deployment of machine learning models. It seamlessly supports popular frameworks like TensorFlow, PyTorch, and scikit-learn, and offers APIs for seamless integration with other applications.
  IBM Watson Machine Learning：Watson Machine Learning 作为一个在 IBM 云平台上的服务，使用户能够扩展其机器学习模型的训练和部署。它无缝支持 TensorFlow、PyTorch 和 scikit-learn 等流行框架，并提供 API 以实现与其他应用程序的无缝集成。