描述

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).阅读更多.

此资源由附属合作伙伴提供。 如果您支付培训费用，我们可能会赚取佣金来支持该网站。

按照数据工作岗位排列职业相关性

Algorithmic Toolbox 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。