Purpose

This assessment is designed for freshers with 0–1 years of experience aiming to become AI Applied Scientists in the IT, Software & ITeS industry. Its main goal is to evaluate foundational knowledge and skills in AI and machine learning concepts.

Overview

The test is structured to assess fundamental AI and machine learning knowledge suitable for freshers aspiring to enter roles such as AI Applied Scientist. It evaluates core traits like analytical thinking, problem-solving, and technical understanding of key concepts such as neural networks, ensemble learning, and hyperparameter tuning. The assessment includes questions on neural network components, learning algorithms, data processing techniques, and evaluation metrics, ensuring candidates have a well-rounded grasp of AI principles. It is designed to identify individuals with potential for growth in AI roles, focusing on both theoretical knowledge and practical application.

• Industry: IT, Software & ITeS
• Level: Fresher
• Tag: AI - Applied Scientist
• Total Questions: 25

Skills

• Neural Networks
• Ensemble Learning
• Class Imbalance Techniques
• Hyperparameter Tuning
• Natural Language Processing
• Sequential Data Processing
• Dimensionality Reduction
• Transfer Learning
• Clustering Algorithms
• Batch Normalization
• Reinforcement Learning
• Convolutional Neural Networks
• Regression Evaluation Metrics

Ideal Roles

• AI Applied Scientist
• Machine Learning Engineer
• Data Scientist
• AI Researcher