Study Materials
Comprehensive resources to help you prepare for the AI Olympiad
Fundamentals of Artificial Intelligence
Comprehensive guide covering AI basics, machine learning concepts, and real-world applications.
Machine Learning Algorithms
In-depth study of supervised and unsupervised learning algorithms with practical examples.
Deep Learning and Neural Networks
Understanding neural network architectures, backpropagation, and deep learning frameworks.
Python Programming for AI
Essential Python libraries: NumPy, Pandas, Scikit-learn, and TensorFlow basics.
Computer Vision Fundamentals
Image processing, object detection, and convolutional neural networks explained.
NLP and Text Processing
Text analysis, sentiment analysis, and transformer models like BERT and GPT.
AI Coding Challenges
Collection of coding problems to practice AI algorithms and implementation.
Olympiad Mock Tests
Full-length practice tests simulating the actual AI Olympiad competition.
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