Utopia-CHN

Keep life in balance.

浙江 杭州

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Software Design and Architecture Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 09/15/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/software-design-architecture

简介: 软件设计和架构专项课程系列(Software Design and Architecture Specialization),该系列包括4门子课程,涵盖面向对象设计,设计模式,软件架构,面向服务的架构等内容,感兴趣的同学可以关注:Mindful Strategies for Quality Software-Think like an expert architect and create quality software using design patterns and principles.

Parallel, Concurrent, and Distributed Programming in Java Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 09/15/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/pcdp

简介: Java并行,并发和分布式编程专项课程系列(Parallel, Concurrent, and Distributed Programming in Java Specialization),这个系列包含3个子课程,分别是Java并行编程,Java并发编程和Java分布式编程,感兴趣的同学可以关注:Boost Your Programming Expertise with Parallelism-Learn the fundamentals of parallel, concurrent, and distributed programming.

機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations (Coursera) 0 个评论 关注

开始时间: 09/02/2018 持续时间: Unknown

主页: https://www.coursera.org/learn/ntumlone-mathematicalfoundations

简介: 台湾大学林轩田老师的 機器學習基石上 (Machine Learning Foundations)—Mathematical Foundations。如果有一定的基础或者学完了Andrew Ng老师的机器学习课程,这门机器学习基石上-数学基础可以作为进阶课程。林老师早期推出的两门机器学习课程口碑和难度均有:机器学习基石 和 机器学习技法 ,现在重组为上和下,非常值得期待

Algorithms Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 09/15/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/algorithms

简介: 斯坦福大学的算法专项课程系列(Algorithms Specialization),这个系列包含4门子课程,涵盖基础的算法主题和高级算法主题,此前评价非常高,五颗星推荐,感兴趣的同学可以关注: Learn To Think Like A Computer Scientist-Master the fundamentals of the design and analysis of algorithms.

Big Data for Data Engineers Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 09/15/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/big-data-engineering

简介: 俄罗斯搜索巨头Yandex推出的面向数据工程师的大数据专项课程系列(Big Data for Data Engineers Specialization) ,这个系列包括4门子课程和1门毕业项目课程,涵盖HDFS,MapReduce, Spark, Hive, Spark SQL, 大规模机器学习,实时流处理等,感兴趣的同学可以关注: Build Your Data Engineering Skills-Learn how to tame the big data beast with the most popular tools assisted by top-notch practitioners

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