Machine Learning with Apache Spark
基于 Apache Spark 的机器学习
- 专业证书IBM Data EngineeringIBM 数据工程第 13 门 · 共 16 门
- 专项课程NoSQL, Big Data, and Spark FoundationsNoSQL、大数据和 Spark 基础第 3 门 · 共 3 门
Module 01Get Started with Machine Learning
0 / 17 篇
- 01Course Introduction
- 02Course Overview
- 03How to make the most of this course
- 04Introduction to Machine Learning for Everyone
- 05Role of Data Engineering in Machine Learning
- 06Machine Learning Model Lifecycle
- 07Supervised vs Unsupervised Learning
- 08Regression
- 09(Optional)Reading: Slope and Intercept
- 10Classification
- 11Evaluating Machine Learning Models
- 12(Optional) Reading: Evaluating Machine Learning Models
- 13Clustering
- 14Generative AI Overview and Use Cases
- 15Generative AI Applications
- 16Module 1 Glossary
- 17Summary and Highlights
Module 02Machine Learning with Apache Spark
0 / 7 篇
- 01Spark for Data Engineers
- 02Regression using SparkML
- 03Classification using SparkML
- 04Clustering using SparkML
- 05GraphFrames on Apache Spark
- 06Module 2 Glossary
- 07Summary and Highlights
Module 03Data Engineering for Machine Learning using Apache Spark
0 / 10 篇
- 01Spark SQL
- 02ETL Workloads
- 03Spark Structured Streaming
- 04Feature Extraction and Transformation
- 05Reading: Data Engineering vs Machine Learning Pipelines
- 06Machine Learning Pipelines using Spark
- 07Model Persistence
- 08Reading: Real-Time Use Case of Model Persistence
- 09Module 3 Glossary
- 10Summary and Highlights
Module 04Final Project
0 / 4 篇
- 01Practice Project Overview
- 02Final Project Overview
- 03Congratulations and Next Steps
- 04Thanks from the Course Team