Genetic Algorithms Courses

Complete Data Structures and Algorithms: Software Interviews

64 ratings at Udemy

Learn data structures and algorithms with Python. Solve technical questions by Google, Amazon, Meta, Netflix and more!

• Udemy
• 16 hours 39 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Searching and Sorting Algorithms

58 ratings at Udemy

Visualize Searching and Sorting Algorithms and Implement them in C++

• Udemy
• 4 hours 27 minutes
• On-Demand
• Paid Course

Graph Theory Algorithms in Java

58 ratings at Udemy

Learn and understand graph theory algorithms in computer science. Solve frequently asked graph coding interview problems

• Udemy
• 9 hours 55 minutes
• On-Demand
• Paid Course

Data Structures and Algorithms

58 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
• On-Demand
• Paid Course

Amazing Graph Algorithms : Coding in Java,JavaScript, Python

58 ratings at Udemy

Graph Data Structure, DFS, BFS, Minimum Spanning Tree, Shortest Path, Network Flow, Strongly Connected Components

• Udemy
• 9 hours
• On-Demand
• Paid Course

Machine Learning Algorithms, Tutorial

58 ratings at Udemy

Comprehensive hands-on tutorial covering supervised and unsupervised machine learning algorithms, from clustering to regression, with practical applications and in-depth explanations.

• Udemy
• 17 hours 45 minutes
• On-Demand
• Paid Course

Scrimba Microcredential

JavaScript Algorithms

Master essential algorithms and problem-solving techniques in JavaScript, from beginner challenges to advanced concepts like Binary Search and Merge Sort, enhancing your software development capabilities.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Computer Science 201: Data Structures & Algorithms

Comprehensive exploration of data structures and algorithms, covering Java basics, OOP, core structures, analysis, recursion, ADTs, trees, sorting, and advanced topics for practical implementation.

• Study.com
• 13 hours 20 minutes
• On-Demand
• Paid Course

C++ Machine Learning Algorithms Inspired by Nature

52 ratings at Udemy

Study the Genetic Algorithm, Simulated Annealing, Ant Colony Optimization, Differential Evolution by Coding from Scratch

• Udemy
• 2 hours 51 minutes
• On-Demand
• Paid Course

Recursion and Backtracking Algorithms : Coding Interview

53 ratings at Udemy

Learn how to solve backtracking problem using recursion. Master the art of recursion

• Udemy
• 7 hours 24 minutes
• On-Demand
• Paid Course

Packt Microcredential

Mastering Machine Learning Algorithms using Python

Master machine learning algorithms with Python, from data preprocessing to model optimization. Learn statistical techniques and implement algorithms like linear regression through practical projects.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Packt Microcredential

Data Structures and Algorithms: The Complete Masterclass

37 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 a week
• On-Demand
• Paid Course
• 3 courses

Mastering Python Data Structures and Algorithms

33 ratings at Udemy

Master Problem Solving and Technical Interview Skills

• Udemy
• 12 hours 10 minutes
• On-Demand
• 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
• On-Demand
• Paid Course