Algorithmic Problems & Neural Networks in Python

🎓 Learn and Grow with Algorithmic Problems & Neural Networks in Python - $199.00 Original price was: $199.00.$33.00Current price is: $33.00.

Discover your true potential with the Algorithmic Problems & Neural Networks in Python - $199.00 Original price was: $199.00.$33.00Current price is: $33.00. course. Tailored for individuals at every skill level, this in-depth online program equips you with essential tools and proven strategies to excel in both your personal and professional endeavors.

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Algorithmic Problems & Neural Networks in Python

What you’ll learn

Understand backtracking
Understand dynamic programming
Solve problems from scratch
Implement feedforward neural networks from scratch

Requirements

Basic Python

Description

This course is about the fundamental concepts of algorithmic problems, focusing on recursion, backtracking 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:

what is recursion

stack memory and recursion

factorial numbers problem

Fibonacci numbers

towers of Hanoi problem

recursion vs iteration

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Section 2:

what is backtracking

n-queens problem

Hamiltonian cycle problem

knight’s tour problem

coloring problem

NP-complete problems

Section 3:

what is dynamic programming

Fibonacci numbers

knapsack problem

coin change problem

rod cutting problem

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.

Thanks for joining the course, let’s get started!
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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📚 Why Choose the Algorithmic Problems & Neural Networks in Python - $199.00 Original price was: $199.00.$33.00Current price is: $33.00. Course?

The Algorithmic Problems & Neural Networks in Python - $199.00 Original price was: $199.00.$33.00Current price is: $33.00. course is more than just an online program—it's a transformative learning experience designed to help you reach new heights. Here's why learners from around the world trust WSOLib:

• ✅ Comprehensive and easy-to-follow course content.
• ✅ Practical techniques that you can apply immediately.
• ✅ Lifetime access to all course materials.
• ✅ Learn at your own pace, from anywhere in the world.
• ✅ No hidden fees—one-time payment with full access.

💻 What’s Included in the Algorithmic Problems & Neural Networks in Python - $199.00 Original price was: $199.00.$33.00Current price is: $33.00. Course?

This course comes with:

• 🎥 High-quality video lessons that guide you step-by-step.
• 📄 Downloadable resources and course materials.
• 🧩 Interactive exercises to enhance your learning experience.
• 📧 Access to customer support for any assistance you need.