An Introduction to Interactive Programming in Python (CourseraArchive) 5 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/course/interactivepython

简介: This course is designed to be a fun introduction to the basics of programming in Python. Our main focus will be on building simple interactive games such as Pong, Blackjack and Asteroids.

Algorithms: Design and Analysis, Part 1 (CourseraArchive) 5 个评论 关注

开始时间: 04/22/2022 持续时间: 6 weeks

主页: https://www.coursera.org/course/algo

简介: In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more.

Scalable Machine Learning (EdxArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: 5 weeks

主页: https://www.edx.org/archive/scalable-machine-learning-uc-berkeleyx-cs190-1x

简介: Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark.

Introduction to Big Data with Apache Spark (EdxArchive) 1 个评论 关注

开始时间: 04/22/2022 持续时间: 5 weeks

主页: https://www.edx.org/archive/introduction-big-data-apache-spark-uc-berkeleyx-cs100-1x

简介: Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data.

Recommender Systems Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 12/21/2023 持续时间: Approximately 5 months to complete Suggested pace of 3 hours/week

主页: https://www.coursera.org/specializations/recommender-systems

简介: 明尼苏达大学的推荐系统专项课程系列（Recommender Systems Specialization），这个系列由4门子课程和1门毕业项目课程组成，包括推荐系统导论，最近邻协同过滤，推荐系统评价，矩阵分解和高级技术等，感兴趣的同学可以关注：Master Recommender Systems-Learn to design, build, and evaluate recommender systems for commerce and content.