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Free Problems
Decimal Operations Mastery
This problem set focuses on adding and subtracting decimals up to the thousandths place. You'll practice fundamental decimal operations through various question types including computational problems, real-world applications, and conceptual understanding. Mastering these skills is essential for financial literacy, scientific calculations, and everyday mathematical reasoning.
19 pts Easy 104 decimal arithmetic basic math operations addition +7
Chapter 06 - Knowledge and Memory Systems in AI Agents
This problem set covers key concepts from Chapter 6 on Knowledge and Memory in AI agent systems. You'll explore different memory approaches, retrieval techniques, and advanced systems like RAG and GraphRAG. The problems progress from foundational concepts to advanced implementation details.
28 pts Medium 101 agentic systems knowledge representation memory systems +7
Chapter 04 - Linear Models and Training Algorithms
This problem set covers key concepts from Chapter 4: Training Models, including linear regression, gradient descent variants, polynomial regression, learning curves, regularization techniques, and logistic regression. These problems test your understanding of how machine learning models are trained and optimized.
23 pts Easy 103 linear regression machine learning model prediction +7
Chapter 01 - Vector Fundamentals in Linear Algebra
This problem set tests understanding of vector concepts from the linear algebra video, covering the physics, computer science, and mathematical perspectives of vectors, coordinate systems, vector addition, and scalar multiplication. Questions range from basic definitions to analytical applications of vector operations.
12 pts Beginner 101 vector fundamentals linear algebra mathematical concepts +7
Chapter 06 - Building Autonomous Assistants - Chapter 6 Practice
This problem set covers key concepts from Chapter 6 "Building autonomous assistants" including behavior trees, GPT Assistants Playground, agentic behavior trees (ABTs), and autonomous control systems. These questions test your understanding of how to design, implement, and control autonomous AI systems using behavior trees and OpenAI assistants.
28 pts Medium 101 behavior trees ai decision making autonomous systems +7
Chapter 05 - Empowering Agents with Actions
This problem set covers key concepts from Chapter 5 "Empowering agents with actions" including OpenAI function calling, Semantic Kernel, semantic functions, native functions, and building GPT interfaces. These problems test your understanding of how agents can extend their capabilities through external actions and tools.
28 pts Medium 95 openai function calling api integration +7
Premium Problems
Python I/O and Data Pipeline Assessment - Part 4
20 questions focused on PyTorch Dataset/DataLoader design: map/iterable datasets, transforms, custom collate/padding, worker seeding/sharding, num_workers/pin_memory/prefetch_factor, caching, memmap/shared memory, batching by size, profiling, and performance tuning.
10.00 60 pts Medium 98 torch.utils.data.dataset pytorch dataset +7
Chapter 02 - Numeric Python
This problem set covers key concepts from Chapter 2: Vectors, Matrices, and Multidimensional Arrays. The problems test understanding of NumPy array fundamentals, including array creation, indexing, slicing, operations, and vectorized computing. Each question is designed to reinforce the core concepts presented in the chapter.
5.00 26 pts Medium 97 numpy-arrays array-attributes shape +7
USAAIO 2025 R1P3 - Logistic Regression Implementation
This problem focuses on implementing logistic regression from scratch using the Titanic dataset. You will work through data pre-processing, mathematical derivations, and implement both gradient descent and Newton's method for logistic regression. The dataset contains passenger information from the Titanic, and your goal is to predict survival based on various features.
10.00 48 pts Easy 93 data-loading pandas data-exploration +7
USAAIO 2025 R1P2 - Basics of Neural Network - From Linear Regression to DNN Training
This problem is about the basics of neural network. Each part has its particular purpose to intentionally test you something. Do not attempt to find a shortcut to circumvent the rule. And all coding tasks shall run on CPUs, **not GPUs**.
10.00 36 pts Easy 96 learning-rate-scheduler pytorch optimization +12
USAAIO 2025 R1P1 - Fibonacci Matrix Form
Let us consider the following sequence: $$ F_n = F_{n-1} + F_{n-2},\ \forall\ n \ge 2. $$
8.00 27 pts Medium 96 fibonacci sequence linear algebra matrix form +7
IAIO 2024 Part 2 - Machine Learning Algorithms and Deep Learning
This problem covers the remaining categories of the 2024 International Artificial Intelligence Olympiad (IAIO), focusing on machine learning algorithms and deep learning. You'll work through practical implementations of k-means clustering, deep learning architectures, and advanced machine learning theory including kernel methods and the Perceptron algorithm. The problems cover: - K-means clustering algorithm implementation and convergence - Deep learning architectures (DALL-E, Transformers) - Perceptron algorithm and kernel methods - Mathematical proofs and theoretical analysis - Parameter counting and computational complexity
10.00 44 pts Hard 99 k-means clustering euclidean distance machine learning +7

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Featured PDFs

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Cover of System Design Interview: An Insider's Guide Volume 2
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153 questions 456 pts
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Hands-On Machine Learning with Scikit-Learn and PyTorch
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Deep Reinforcement Learning Hands-On - Third Edition
222 questions 720 pts

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Attention in transformers, step-by-step | Deep Learning Chapter 6
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Cover of Knowledge Distillation: How LLMs train each other
Knowledge Distillation: How LLMs train each other
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Diffusion Model
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Popular Topics

machine learning 56 deep learning 40 neural networks 35 reinforcement learning 33 system-design 28 grade5 27 optimization 14 large language models 13 attention mechanisms 13 combinatorics 13 system-architecture 13 natural language processing 12 aime problems 12 Number Sense 12 scalability 11 beginner 10 number theory 10 performance 10 transformers 9 capacity-planning 9
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