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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-and-earth-observation-big-data/
课程评论：没有评论
课程名称：Google Earth Engine中的遥感机器学习 课程概述：您想学习如何使用开源云平台访问、处理和分析遥感数据吗？您想掌握机器学习算法以预测地球观测大数据吗？您想在地理空间行业开始您的空间数据科学家职业生涯吗？欢迎报名参加我的新课程，掌握Google Earth Engine中的遥感机器学习。我将通过示例数据、样本脚本和实际应用提供实践培训。通过参加本课程，您将提升您的地理空间数据科学技能，熟练应用机器学习算法来预测卫星数据，使用开源的大数据分析工具Earth Engine API，这是一个由Google提供的云基础设施的地球观测数据可视化分析平台。 在本课程中，我将帮助您快速上手Google Earth Engine云平台。您将应用多种机器学习算法，包括线性回归、聚类、分类与回归树（CART）和随机森林。我们将使用Landsat卫星数据进行土地利用和土地覆盖分类预测。整个课程中将为您提供所有示例数据和脚本作为额外的福利。立即报名，开启您的学习之旅，点击报名按钮开始。
Do you want to learn how to access, process, and analyze remote sensing data using open-source cloud-based platforms?Do you want to master machine learning algorithms to predict Earth Observation big data?Do you want to start a spatial data scientist career in the geospatial industry? Enroll in my new course to master Machine Learning with Remote Sensing in Google Earth Engine. I will provide you with hands-on training with example data, sample scripts, and real-world applications. By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in applying machine learning algorithms to predict satellite data using an open-source big data analytics tool, Earth Engine API, a cloud-based Earth observation data visualization analysis by powered by Google.In this Machine Learning with Earth Engine API course, I will help you get up and running on the Google Earth Engine cloud platform. Then you will apply various machine learning algorithms including linear regression, clustering, CART, and random forests. We will use Landsat satellite data to predict land use land cover classification. All sample data and scripts will be provided to you as an added bonus throughout the course. Jump in right now to enroll. To get started click the enroll button.
