AI Researcher
About this assessment
This assessment is designed to gauge your expertise and problem-solving skills across a range of technical domains. It covers core Mathematics, fundamental principles of Machine Learning, Optimization, and Signal Processing, and dives into specialized areas of Deep Learning—including NLP, Computer Vision, and Reinforcement Learning. In addition to tackling theoretical concepts, you’ll have the opportunity to showcase your programming abilities through a Python coding problem. Whether you're a student, an industry professional, or a passionate learner aiming to broaden your skill set, this comprehensive evaluation provides both a diagnostic and developmental tool. It helps you identify your strengths and growth areas to better navigate today’s evolving tech landscape.
Section 1: Mathematics, Machine Learning, Optimization, and Signal Processing
A section covering advanced multiple choice questions on linear algebra, calculus, probability, statistics, ML & DL algorithms, optimization techniques, and information theory for AI applications.
Section 2: Topics in Deep Learning: NLP, Computer Vision, and Reinforcement Learning
This section features questions covering advanced concepts in Natural Language Processing, including transformers, LLMs such as GPT, BERT, and T5, Computer Vision topics like CNNs, GANs, and vision transformers, as well as Reinforcement Learning methods such as policy optimization and Q-learning.
Section 3: Python Coding Problem
This section assesses the candidate's ability to implement complex algorithms using Python, focusing on writing efficient and readable code required for AI research roles.
Skills Measured
AI Researcher
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