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

开始时间: 04/23/2018 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.

Applied Data Science with Python Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 04/23/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/data-science-python

简介: 密歇根大学的Python数据科学应用专项课程系列(Applied Data Science with Python),这个系列的目标主要是通过Python编程语言介绍数据科学的相关领域,包括应用统计学,机器学习,信息可视化,文本分析和社交网络分析等知识,并结合一些流行的Python工具包进行讲授,例如pandas, matplotlib, scikit-learn, nltk以及networkx等Python工具。感兴趣的同学可以关注:Gain new insights into your data-Learn to apply data science methods and techniques, and acquire analysis skills.

Divide and Conquer, Sorting and Searching, and Randomized Algorithms (Coursera) 0 个评论 关注

开始时间: 04/09/2018 持续时间: Unknown

主页: https://www.coursera.org/learn/algorithms-divide-conquer

简介: The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).