Genetic Algorithms Courses

AI and Machine Learning Algorithms and Techniques

65 ratings at Coursera

Master core AI and ML algorithms through hands-on exploration of supervised, unsupervised, and reinforcement learning. Apply feature engineering, understand deep learning models, and evaluate techniques for real business solutions.

• Coursera
• 1 day 21 hours 39 minutes
• Self-Paced
• Paid Course

Campus - the Israeli National Project for Digital Learning

Bayesian Algorithms for Self-Driving Cars

1 rating

"Bayesian Algorithms for Self-Driving Cars" is an advanced Computer science course, designed to equip the student with the most important localization algorithms now deployed in modern autonomous vehicles.

• edX
• 13 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course

Credential

Data Structures and Algorithms

6 ratings

Gain practical experience with 100+ data structures and algorithm exercises, guided by a dedicated mentor to prepare for interviews and real-world programming challenges.

• Udacity
• 47 hours
• Self-Paced
• Paid Course

Telusko

Data Structures and Algorithms in Java - 2024

6 ratings

Master data structures and algorithms in Java through comprehensive coverage of fundamental concepts, sorting techniques, and advanced data structures.

• YouTube
• 4 hours 54 minutes
• Self-Paced
• Free Video

Intro to Algorithms

6 ratings

This class will give you an introduction to the design and analysis of algorithms, enabling you to analyze networks and discover how individuals are connected.

• Udacity
• 16 hours
• Self-Paced
• Free Online Course

Solving Algorithms for Discrete Optimization

44 ratings at Coursera

Explore advanced solving techniques for discrete optimization problems, enhancing modeling skills and solver selection. Learn constraint programming, mixed integer programming, and local search methods.

• Coursera
• 21 hours 52 minutes
• Self-Paced
• Paid Course

离散优化算法篇 Solving Algorithms for Discrete Optimization

探索离散优化算法,从约束编程到混合整数规划,再到局部搜索,学习解决复杂决策问题的先进技术,提升解决现实世界优化挑战的能力。

• Coursera
• 1 day 4 hours 5 minutes
• Self-Paced
• Paid Course

Advanced Trading Algorithms

533 ratings at Coursera

Learn to build and test robust trading strategies using accruals, beta, momentum, and G-Score. Develop scientific backtesting methods, incorporate transaction costs, and measure risk-adjusted returns.

• Coursera
• 11 hours 10 minutes
• Self-Paced
• Paid Course

University of London;  Goldsmiths University of London

Algorithms and Complexity

Algorithms and complexity are at the heart of computer science, shaping how we design solutions and measure efficiency. This course provides a rigorous introduction to both the theory and practice of algorithms. You’ll begin with automata theory, explori…

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

École normale supérieure

Approximation Algorithms Part II

46 ratings at Coursera

Explore advanced approximation algorithms using linear programming duality and semidefinite programming for combinatorial optimization problems like Steiner forest, facility location, and maximum cut.

• Coursera
• 1 day 11 hours 30 minutes
• Self-Paced
• Paid Course

Artificial Intelligence Algorithms Models and Limitations

560 ratings at Coursera

Explore AI algorithms' rise, from basic to autonomous, and learn to make them ethically sound. Discover limitations, improve accuracy, and understand societal implications of predictive intelligence.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Clemson University

Design and Analysis of Algorithms

37 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