Genetic Algorithms Courses

GOTO Conferences

Genetic Algorithms in Elixir

Explore genetic algorithms in Elixir with Sean Moriarity and Bruce Tate. Learn problem-solving techniques, from basics to real-world applications, using this powerful tool in a familiar language.

• YouTube
• 42 minutes
• Self-Paced
• Conference Talk

Scala Days Conferences

Being Creative with Genetic Algorithms and Typeclasses

Explore genetic algorithms and typeclasses in Scala, demonstrating their power through hands-on examples, testing with ScalaCheck, and creative visual solutions.

• YouTube
• 39 minutes
• Self-Paced
• Conference Talk

Scala Days Conferences

Being Creative with Genetic Algorithms and Typeclasses

Explore genetic algorithms and typeclasses in Scala, learning to attach custom interfaces to existing code and create visual, creative solutions with confidence through testing.

• YouTube
• 46 minutes
• Self-Paced
• Conference Talk

EuroPython Conference

Music Theory - Genetic Algorithms and Python

Explore genetic algorithms and Python to generate musical counterpoint, inspired by classical composition techniques and modern computational approaches.

• YouTube
• 55 minutes
• Self-Paced
• Conference Talk

Valerio Velardo - The Sound of AI

Melody Harmonization with Genetic Algorithms - Generative Music AI Course

Implement a genetic algorithm in Python to automatically generate melody harmonizations, exploring concepts like population initialization, parent selection, crossover, mutation, and fitness evaluation.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

MLCon | Machine Learning Conference

Evolution 3.0 - Solve Your Everyday Problems with Genetic Algorithms

Explore genetic algorithms for solving everyday problems like scheduling and meal planning. Learn to code from scratch and understand algorithm stages for practical applications.

• YouTube
• 44 minutes
• Self-Paced
• Conference Talk

Alan Turing Institute

The Survival of the Fittest Route - Genetic Algorithms in Shipping and Sustainability

Explore how genetic algorithms optimize shipping routes for sustainability, from evolutionary theory to autonomous vessels and environmental impact reduction.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Coding Train

Genetic Algorithms - The Nature of Code

Explore evolutionary computing principles through hands-on genetic algorithm implementation, from basic concepts to advanced applications like smart rockets and traveling salesperson problems.

• YouTube
• 6 hours 12 minutes
• Self-Paced
• Free Video

Coding Train

Genetic Algorithms - Intelligence and Learning - Session 2

Explore genetic algorithms through hands-on coding challenges, from Shakespeare monkey examples to traveling salesperson problems and evolutionary steering behaviors.

• YouTube
• 5 hours 52 minutes
• Self-Paced
• Free Video

Introduction to Algorithms

26 ratings

Comprehensive exploration of algorithmic concepts, data structures, and problem-solving techniques, emphasizing mathematical modeling and performance analysis for computational challenges.

• MIT OpenCourseWare
• 35 hours
• Self-Paced
• Free Video

Algorithms for Big Data

10 ratings

Explore advanced algorithmic techniques for handling massive datasets, enhancing your ability to process and analyze big data efficiently.

• YouTube
• 1 day 10 hours
• Self-Paced
• Free Video

Algorithms, Part II

21 ratings

Explore advanced algorithms and data structures, focusing on graph and string processing. Learn efficient Java implementations and analyze their performance for real-world applications.

• Coursera
• 63 hours
• Self-Paced
• Free Online Course

Algorithms for DNA Sequencing

17 ratings

Explore DNA sequencing algorithms and data structures using Python. Analyze real genomes, implement key methods, and gain insights into genomics and sequencing technology.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

1276 ratings at Coursera

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

• Coursera
• 14 hours 41 minutes
• Self-Paced
• Paid Course

Career Certificate

Algorithms

5994 ratings at Coursera

Comprehensive introduction to algorithms, covering key concepts and practical applications. Emphasizes conceptual understanding for technical interviews and professional discussions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses