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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deploy-machine-learning-models-on-google-cloud-ai-platform/
课程评论：没有评论
**课程名称：** 在Google Cloud AI Platform上部署机器学习模型 **课程概述：** 本课程面向已经掌握机器学习和深度学习模型构建能力的学习者，旨在帮助他们轻松地将模型部署到Google Cloud AI Platform，并能够通过发送POST请求与已部署的模型进行交互。课程假定学习者熟悉自然语言处理（NLP）和一些基础的云概念。 **核心内容：** * **模型部署：** 重点教授如何在Google Cloud AI Platform上部署机器学习和深度学习模型。 * **POST请求：** 学习如何通过发送POST请求与部署好的模型进行通信，以获取预测结果。 * **框架选择：** 强调正确选择和使用scikit-learn和TensorFlow等框架进行模型部署的重要性，并会在视频中详细讲解。 * **实践应用：** * 将构建的神经网络模型（例如，用于IMDB电影评论情感预测的精确神经网络）部署到生产环境。 * 进行模型预测，不再局限于Jupyter Notebook环境，而是通过POST请求与部署模型交互。 * 主要进行分类器和回归器的POST请求预测。 * **数据集：** * 将使用Kaggle上的数据集，包括恶意软件数据集、汽车价格数据集和汽车购买数据集。 * 鼓励学习者使用自己的数据集进行实践。 * **技术要求：** * 无需成为Python专家，但需要具备使用scikit-learn和TensorFlow构建模型的能力。 * 课程级别为中级，非初级或高级。 **学习目标：** * 能够成功地将机器学习模型部署到Google Cloud AI Platform。 * 能够有效地通过POST请求与部署的模型进行交互，获取预测结果。 * 理解并掌握在部署过程中选择正确框架的重要性。 * 通过实践项目，加深对模型部署流程的理解。 **整体风格：** 课程注重实践操作，讲解清晰易懂，旨在提供一个平滑的学习体验，让学习者能够轻松掌握模型部署技能。
My Course is meant for anyone who already knows how to build both machine and deep learning models that is interested in deploying them easily on Google Cloud AI Platform. So that they can send the deployed models post requests. Also you must be familiar with Natural Language Processing and some basic cloud concepts. I will explain everything in the videos. But most importantly you do not need to be an expert in python to do this. However this is again intended for those who already know how to build models with scikitlearn and tensorflow. Because these are the frameworks we will be using and selecting for deployment. Be sure when you do it to select the correct frameworks or you will most likely not be able to deploy your model. That I will also explain in these featured videos. But more importantly enjoy your time learning because should be a very smooth course. If you pay attention you will easily pass my quizzes. Again this is intermediate level not advanced or basic. In this video we will be doing predictions not in jupyter lab with the notebook but be sending post requests to the deployed model. You will mostly be sending post requests to classifiers and regressors the majority of the time. Also in this video you will learn how to build an very accurate neural network for predicting sentiment with the IMDB movie reviews dataset. Then you will deploy it. The datasets we will be working with are the malware dataset from kaggle, the car price dataset from kaggle, and the car purchase dataset from kaggle. However feel free to use your own datasets since you know how to build models. In fact that is strongly encouraged.
