Genetic Algorithms Courses

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

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

Data Structures and Algorithms

61 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

Packt Credential

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

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

Data Structures and Algorithms

33 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

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

Codio Credential

C++: Data Structures and Algorithms

16 ratings at Coursera

Master data structures and algorithms in C++, from linear structures like lists to complex non-linear structures like trees, heaps, and graphs. Enhance your programming skills with hands-on implementation and analysis.

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

Codio Credential

Java: Data Structures and Algorithms

13 ratings at Coursera

Master Java data structures and algorithms, from lists to graphs, enhancing your programming skills and problem-solving abilities.

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

Fractal Analytics

Advanced Machine Learning Algorithms

12 ratings at Coursera

Explore advanced machine learning algorithms, from regularization to ensemble methods. Master feature engineering, hyperparameter tuning, and model selection for enhanced predictive accuracy and real-world applications.

• Coursera
• 20 hours 43 minutes
• Self-Paced
• Paid Course

Codio

C++: Algorithms

11 ratings at Coursera

Master data structures and algorithms in C++ through hands-on coding exercises, covering complexity analysis, design techniques, searching, and sorting - all with instant feedback and practical examples.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course