Genetic Algorithms Courses

Clemson University

Design and Analysis of Algorithms

38 ratings at Coursera

Master fundamental algorithm design techniques, data structures, and analysis methods through comprehensive exploration of sorting, recursion, hashing, optimization, and graph algorithms.

• Coursera
• 1 day 3 hours 29 minutes
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail

417 ratings at Coursera

Explore supervised learning techniques like decision trees, k-NN, and SVMs. Implement and analyze these algorithms on real business cases, gaining practical skills in data preparation and model evaluation.

• Coursera
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• Paid Course

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 minutes
• Self-Paced
• Paid Course

Program Structure and Algorithms Part 1

Discover essential algorithmic principles, complexity analysis, and problem-solving techniques including sorting, graph theory, and optimization strategies for computational challenges.

• Coursera
• 1 day 8 hours 34 minutes
• Self-Paced
• Paid Course

Program Structure and Algorithms Part 2

Master dynamic programming, network flow algorithms, computational complexity theory, Bayesian inference, and randomized algorithms for advanced problem-solving.

• Coursera
• 1 day 7 hours 42 minutes
• Self-Paced
• Paid Course

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms

63 ratings at Coursera

Master advanced data structures, algorithms, and testing in Java for efficient software development and problem-solving.

• Coursera
• 1 day 19 hours 18 minutes
• Self-Paced
• Paid Course

I/O-efficient algorithms

60 ratings at Coursera

Explore I/O-efficient algorithms for processing large datasets, focusing on memory hierarchy optimization, cache-aware and cache-oblivious techniques, sorting methods, and specialized data structures.

• Coursera
• 9 hours 59 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Data Structures and Algorithms: The Complete Masterclass

38 ratings at Coursera

Master essential data structures and algorithms, from Big O notation to advanced implementations. Build problem-solving skills through practical exercises and real-world applications for technical interviews and coding challenges.

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

Data Structures and Algorithms

36 ratings at Coursera

Master essential data structures and algorithms in .NET Core, from arrays to graphs, while learning to analyze, implement and optimize code for scalable back-end development and performance.

• Coursera
• 1 day 23 hours 38 minutes
• Self-Paced
• Paid Course

Approximation Algorithms

33 ratings at Coursera

Explore efficient approximation techniques for NP-hard problems, learning to design and analyze algorithms that find near-optimal solutions with provable performance guarantees.

• Coursera
• 14 hours 59 minutes
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Data Structures and Algorithms

Master essential data structures like arrays, trees, and graphs, plus key algorithms including sorting, searching, and graph traversals for efficient problem-solving.

• Coursera
• 3 days 6 hours 46 minutes
• Self-Paced
• Paid Course

Packt

Quantum Computing with Qiskit and Advanced Algorithms

26 ratings at Coursera

Master quantum computing fundamentals and advanced algorithms using Qiskit. Implement teleportation, Bernstein-Vazirani, Deutsch, Grover's, and Shor's algorithms on IBM quantum computers. Gain practical skills for real-world applications.

• Coursera
• 8 hours 57 minutes
• Self-Paced
• Paid Course

Geometric Algorithms

24 ratings at Coursera

Explore geometric algorithms for spatial data analysis in robotics, graphics, and GIS. Learn techniques for efficient problem-solving and algorithm design in computational geometry.

• Coursera
• 17 hours 48 minutes
• Self-Paced
• Paid Course