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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-projects-with-java/
课程评论：没有评论
Coursera 课程：**Java 机器学习项目** **课程概述：** 本课程专为担忧如何运用不同算法解决实际问题而烦恼的开发者设计。它将指导您识别最有效的解决方案，从而高效地构建用于解决各种实际应用场景的机器学习项目。您将学习如何构建一个模型，该模型能够处理复杂的传感器数据特征向量，并将数据点分类到具有相似特征的类别中。随后，您将根据历史数据预测房价。最后，您将构建一个深度学习模型，该模型可以利用标记数据来推断人格特征。完成本课程后，您将精通各个机器学习领域，并能够独立构建强大的项目。 **作者介绍：** Tomasz Lelek 是一位软件工程师，主要使用 Java 和 Scala 进行编程。他拥有 5 年的机器学习算法工作经验，并在处理 PB 级数据方面拥有生产实践经验。他对软件开发的几乎所有方面都充满热情，并坚信在解决问题之前，我们应始终考虑不同的解决方案和方法。他曾作为演讲嘉宾出席波兰的 Confitura 和 JDD（Java 开发者日）会议，以及克拉科夫 Scala 用户组会议，并在 Geecon 会议上进行了现场编码演示。 **课程核心内容：** * **数据分类：** 构建模型，处理传感器数据中的复杂特征向量，并将数据点有效地分类。 * **房价预测：** 利用历史数据，开发模型来预测房屋价格。 * **深度学习与人格推断：** 构建深度学习模型，根据标记数据推断人格特征。 **学习目标：** * 掌握机器学习的各个领域。 * 能够针对不同用例识别并应用最佳的机器学习算法。 * 具备构建用于解决现实世界问题的强大机器学习项目的能力。
Developers are worried about using various algorithms to solve different problems. This course is a perfect guide to identifying the best solution to efficiently build machine learning projects for different use cases to solve real-world problems. In this course, you will learn how to build a model that takes complex feature vector form sensor data and classifies data points into classes with similar characteristics. Then you will predict the price of a house based on historical data. Finally, you will build a Deep Learning model that can guess personality traits using labeled data.By the end of this course, you will have mastered each machine learning domain and will be able to build your own powerful projects at work.About The AuthorTomasz Lelek is a Software Engineer, programming mostly in Java, Scala. He has worked with ML algorithms for the past 5 years, with production experience in processing petabytes of data. He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before solving a problem. Recently he was a speaker at conferences in Poland, Confitura and JDD (Java Developers Day), and also at Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference.
