Algorithmic Problems & Neural Networks in Python – Holczer Balazs

What you'll learn

Course content

Expand all 40 lectures04:04:05

+Introductio

+Recursion

+Search Algorithms

+Backtracking

+Dynamic Programming

+Course Materials (DOWNLOADS)

+DISCOUNT FOR OTHER COURSES!

Requirements

Description

This course is about the fundamental concepts of algorithmic problems, focusing on recursionbacktracking and dynamic programming. As far as I am concerned these techniques are very important nowadays, algorithms can be used (and have several applications) in several fields from software engineering to investment banking or R&D.

Section 1:

Section 2:

Section 3:

In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems one by one.

The first chapter is about recursion. Why is it crucial to know about recursion as a computer scientist? Why stack memory is crucial in recursion? We will consider several recursion related problems such as factorial problem or Fibonacci numbers. The second chapter is about backtracking: we will talk about problems such as n-queens problem or hamiltonian cycles and coloring problem. In the last chapter we will talk about dynamic programming, theory first then the concrete examples one by one: Fibonacci sequence problem and knapsack problem.

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Who this course is for:

This course is meant for newbies who are not familiar with algorithmic problems in the main or students looking for some refresher

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