Current Status
Not Enrolled
Price
Free
Get Started

What you will learn

  • Learn the theory and implement optimization algorithms from scratch for solving real problems
  • Implement step by step the following algorithms in Python: random search, hill climb, simulated annealing, and genetic algorithms
  • Solve real problems for optimizing flight calendars and dormitory room optimization (limited resources)
  • Implement optimization algorithms using predefined libraries

Requirements

  • Programming logic (if, while and for statements)
  • Basic Python programming
  • No prior knowledge about Artificial Intelligence

Description

What would an “optimal world” look like to you? Would people get along better? Would transport run faster? Would we take better care of our environment?

Many data scientists choose to optimize by using pre-built machine learning libraries.  But we think that this kind of ‘plug-and-play’ study hinders your learning. That’s why this course gets you to build an optimization algorithm from the ground up.

In Artificial Intelligence: Optimization Algorithms in Python, you’ll get to learn all the logic and math behind optimization algorithms. With two highly practical case studies, you’ll also find out how to apply them to solve real-world problems.

In the first case study, we’ll optimize travel plans for six friends who want to fly out from the same airport. In the second case study, we’ll optimize the way university administrators allocate dorm rooms to new students.

On the way, we’ll learn what optimization algorithms are. We’ll find out how they can be applied to daily business practice. And we’ll see how they can learn by themselves.

This course introduces you to four types of optimization algorithms:

– random search

– hill climb

– simulated annealing, and

– genetic

Don’t worry if you’re not yet sure what any of these are. We’ll go through each one in detail, and you’ll find out how to build each of them in our two case studies.”

Who this course is for

  • Beginners who are starting to learn about Artificial Intelligence
  • People interested in the theory of optimization algorithms
  • Undergraduate students who are studying subjects related to Artificial Intelligence
  • People interested in solving real problems using optimisation algorithms
  • Anyone interested in Artificial Intelligence

Course Content

Expand All
Lesson Content
0% Complete 0/1 Steps

Ratings and Reviews

4.9
Avg. Rating
32 Ratings
5
28
4
4
3
0
2
0
1
0
What's your experience? We'd love to know!
Review posted on Udemy
Posted 10 months ago
by Varun Kumar

fantastic explanation

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by Satish Kumar Thakur

It's informative and good contents.

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by ANSHIKA SINGH

Its amazing

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by RAM BAHADUR THAPA

its good

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by Anurag Dubey

Awesome

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by NIKETA DIVOLIA

It was very good to learn

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by Vishal kumar

Very good expression

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by Dhanalakshmi Kamaraj

Useful,,,

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by Sunder Miduturi

Good

×
Preview Image
Review posted on Udemy
Posted 11 months ago
by Lavanya Venkatesan

Good

×
Preview Image
Show more reviews
What's your experience? We'd love to know!
Scroll to Top