See How It Works for details. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) . We will ...

Teaching courses: Programming, Algorithms and Data Structures, Data Science, Machine Learning, GNU/Linux Tools, Natural Language Processing, Non-sqlDatabases, Scrum, Advance Python, Deep Learning, ...

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...