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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-with-apache-spark-3-using-scala/
课程评论：没有评论
课程名称：使用Scala的Apache Spark 3.0机器学习 课程概述：随着“大数据”分析的兴起，这门课程将教您如何使用当前大数据领域中最热门的技术：Apache Spark。全球知名企业如亚马逊、eBay、NASA和雅虎等都在使用Spark，从故障容忍的Hadoop集群中快速提取海量数据的意义。您将学习到这些技术，并在自己操作的系统中实践。如果您希望利用机器学习的力量并提升自己的职业发展，Apache Spark作为行业领先的大数据处理引擎，将彻底改变组织实施规模化机器学习的方式。通过结合其速度和可扩展性以及强大的MLlib库，Spark允许您轻松构建和部署复杂的机器学习模型。 本课程为您提供了掌握Apache Spark机器学习的终极指南，旨在使您具备解决现实问题和创建可扩展AI解决方案的能力。通过动手实践和项目驱动的方法，您将学习如何预处理数据、实施算法并评估模型，从而将原始数据转化为推动业务成功的重要洞察。 课程将涵盖以下内容： 1. 概述 2. 什么是Spark ML 3. 机器学习的类型 4. 机器学习程序中涉及的步骤 5. 基础统计 6. 数据源 7. 管道 8. 特征提取、转换和选择 9. 分类和回归 10. 聚类 项目： 1. 预测明天在澳大利亚会下雨吗 2. 铁路列车到达延误预测 3. 基于可用属性预测鸢尾花的类别 4. 商场客户细分（K均值聚类） 为了开始学习，您需要设置自己的环境。首先，您需要使用Google Chrome、Firefox、Safari或最新版本的Microsoft Edge等网页浏览器，支持Windows、Linux和macOS桌面系统。这是一个完全基于Databricks环境的动手学习过程。 您将获得的技能包括： - 机器学习基础：理解监督学习、无监督学习和推荐算法的核心概念及其实际应用。 - 可扩展模型构建：学习如何利用Spark MLlib预处理数据、训练模型并优化性能。 - 实际项目经验：通过解决从预测分析到推荐系统的现实问题，获得动手经验。 - 大数据集成：了解如何将机器学习工作流无缝集成到大数据管道中，以实现最大效率。 适合参与的人群： - 希望在大数据环境中扩展模型的 数据科学家与机器学习工程师。 - 渴望通过AI驱动的洞察提升分析工作流的大数据专业人士。 - 想要通过掌握可扩展机器学习工具为未来职业发展做好准备的开发者与IT专家。 加入这些改变行业的顶尖专业人士行列，现在就报名成为Apache Spark的MLlib专家，将数据转化为推动结果的智能！
Machine Learning with Apache Spark 3.0 using Scala with Examples and Project"Big data" analysis is a hot and highly valuable skill - and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, eBay, NASA, Yahoo, and many more. All are using Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Operating system right at home.Do you want to harness the power of Machine Learning and take your career to new heights? Apache Spark, the industry-leading big data processing engine, is revolutionizing the way organizations implement Machine Learning at scale. By combining its speed and scalability with powerful MLlib libraries, Spark allows you to build and deploy sophisticated Machine Learning models on massive datasets effortlessly.This course is your ultimate guide to mastering Machine Learning with Apache Spark, designed to equip you with the skills to solve real-world problems and create scalable AI solutions. Through a hands-on, project-driven approach, you'll learn how to preprocess data, implement algorithms, and evaluate models-empowering you to turn raw data into impactful insights that drive business success.So, What are we going to cover in this course then?Learn and master the art of Machine Learning through hands-on projects, and then execute them up to run on Databricks cloud computing services (Free Service) in this course. Well, the course is covering topics: 1) Overview2) What is Spark ML3) Types of Machine Learning4) Steps Involved in the Machine learning program5) Basic Statics6) Data Sources 7) Pipelines8) Extracting, transforming and selecting features9) Classification and Regression10) ClusteringProjects:1) Will it Rain Tomorrow in Australia2) Railway train arrival delay prediction3) Predict the class of the Iris flower based on available attributes4) Mall Customer Segmentation (K-means) ClusterIn order to get started with the course And to do that you're going to have to set up your environment.So, the first thing you're going to need is a web browser that can be (Google Chrome or Firefox, or Safari, or Microsoft Edge (Latest version)) on Windows, Linux, and macOS desktop This is completely Hands-on Learning with the Databricks environment.What You'll Gain:Machine Learning Fundamentals: Understand the core concepts of supervised, unsupervised, and recommendation algorithms with practical applications.Scalable Model Building: Learn how to leverage Spark MLlib to preprocess data, train models, and optimize performance on large-scale datasets.Real-World Projects: Gain hands-on experience by solving real-world problems, from predictive analytics to recommendation systems.Big Data Integration: Discover how to integrate Machine Learning workflows seamlessly into your big data pipelines for maximum efficiency.Who Should Enroll:This course is ideal for:Data Scientists & Machine Learning Engineers looking to scale their models for big data environments.Big Data Professionals eager to enhance their analytics workflows with AI-driven insights.Developers & IT Experts aiming to future-proof their careers by mastering scalable Machine Learning tools.Join the ranks of top professionals who are transforming industries with Machine Learning. Enroll now to become an expert in Apache Spark's MLlib and turn data into intelligence that drives results!
