All current कंप्यूटर विज्ञान courses in 2024
3147 कोर्स
Mathematics and Machine Learning Program - September 3 to November 1, 2024
Explore cutting-edge intersections of mathematics and AI through expert talks on theorem proving, neural networks, and automated mathematical discovery at Harvard CMSA.
Fundamentals of Machine Learning
Explore machine learning types, supervised learning geometry, neural networks, and AI game applications through practical examples and advanced concepts.
Quantum Machine Learning Workshop 2018
Explore cutting-edge quantum machine learning algorithms, optimization techniques, and applications through expert presentations on quantum-enhanced AI and computational methods.
Machine Learning for Digital Humanities
Discover machine learning and neural networks designed specifically for humanities scholars without mathematical backgrounds using TensorFlow and Keras.
Neural Networks for Digital Humanities
Discover how to apply neural networks and deep learning to humanities research using TensorFlow and Keras, designed specifically for non-mathematical backgrounds.
Tropical Algebra and Geometry for Machine Learning and Optimization
Discover tropical algebra and geometry applications in machine learning and optimization through advanced mathematical frameworks and computational techniques.
Complexity and Evolution
Explore complexity theory and evolutionary principles through expert insights from a leading researcher at the Free University of Brussels.
Computational Music Theory and Analysis - Spring 2023
Explore computational approaches to music theory, analysis, and generation using algorithms, machine learning, and the music21 toolkit for symbolic music processing.
Intelligence and Learning - Nature of Code Part 2
Explore algorithms, genetic programming, and neural networks through hands-on coding challenges covering pathfinding, machine learning, and evolutionary systems.
Neural Style Transfer
Dive into neural style transfer from basic theory to advanced implementations, covering optimization and feed-forward methods with hands-on PyTorch coding examples.
Artificial Intelligence and Machine Learning Full Course with C# Examples
Master AI and ML fundamentals through university-level lectures with hands-on C# examples, covering algorithms, neural networks, and practical implementations.
Q-Learning Tutorials - Deep Q Networks, Experience Replay, and Advanced Architectures
Master Q-Learning fundamentals through Deep Q Networks, experience replay, training loops, and advanced architectures like double and dueling networks.