All current מדעי המחשב courses in 2024
3150 קורסים
Machine Learning Tutorial - Practical Implementation and Explanation of ML Algorithms
Master machine learning algorithms through hands-on Python implementation, covering regression, classification, clustering, and key concepts like overfitting and PCA.
AI and Deep Learning Explained - CNNs, Transformers, GANs, YOLO, GNNs and More
Discover comprehensive AI and deep learning through 115+ tutorials covering CNNs, Transformers, GANs, YOLO, and more with hands-on implementations in TensorFlow and PyTorch.
Mathematics and Machine Learning Closing Workshop
Explore cutting-edge intersections of mathematics and machine learning through expert presentations on topology, fluid dynamics, AI-assisted discovery, and computational methods.
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.
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.
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.
Complexity and Evolution
Explore complexity theory and evolutionary principles through expert insights from a leading researcher at the Free University of Brussels.