AI Fundamentals Quest

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Core AI basics

Creada por

Prof. Chaitanya Kulkarni

India

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#	Jugador	Acierto	tiempo
1	EL39 Patil Darshan Rajendra 19 de Abril de 2026	% 100	01:07
2	ET 33 - Gauri Arun Khedekar 18 de Abril de 2026	% 100	01:09
3	ET07-Shreya Bhosale 20 de Abril de 2026	% 100	01:24
4	EL38 Pathak Aditya Niraj 17 de Abril de 2026	% 100	01:50
5	EL04 Bhosale Raviraj Dattatray 18 de Abril de 2026	% 100	02:43
6	ET 15.vedika gogawale 17 de Abril de 2026	% 90	01:37
7	ET.62 Rutuja Soundale 17 de Abril de 2026	% 80	01:06
8	EL17 Jadhav Sayali Yuvraj 17 de Abril de 2026	% 80	01:25
9	Prof. Chaitanya Kulkarni 17 de Abril de 2026	% 70	02:43

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Froggy Jumps AI Fundamentals QuestVersión en línea Core AI basics por Prof. Chaitanya Kulkarni 1 What is the main goal of artificial intelligence? a To emulate intelligent behavior in machines b To replace humans in all jobs c To only perform mathematical calculations 2 Which learning method uses labeled data for training? a Unsupervised learning b Supervised learning c Reinforcement learning 3 What is a neural network primarily inspired by? a The structure of the human brain b Binary search trees c Classical logic circuits 4 What distinguishes supervised from unsupervised learning? a Unsupervised needs labels twice b Supervised uses labeled data; unsupervised finds patterns without labels c Supervised is faster 5 Which technique helps prevent overfitting by exposing model to varied data? a Quantization b Regularization c Padding 6 What is gradient descent used for in ML? a To minimize a loss function b To generate random data c To maximize accuracy 7 Which term describes a model's poor performance on new data? a Underfitting b Overfitting c Data leakage 8 What is reinforcement learning primarily about? a Unsupervised clustering b Learning by trial and error from feedback c Supervised labeling 9 Why is dataset quality important in AI models? a Data quantity is all that matters b Low-quality data speeds up training c High-quality data improves accuracy and fairness 10 What safety and ethics concern is crucial in AI deployment? a Color depth of images b Bias and fairness in results c Keyboard layout

Froggy Jumps

AI Fundamentals QuestVersión en línea

Core AI basics

por Prof. Chaitanya Kulkarni

What is the main goal of artificial intelligence?

To emulate intelligent behavior in machines

To replace humans in all jobs

To only perform mathematical calculations

Which learning method uses labeled data for training?

Unsupervised learning

Supervised learning

Reinforcement learning

What is a neural network primarily inspired by?

The structure of the human brain

Binary search trees

Classical logic circuits

What distinguishes supervised from unsupervised learning?

Unsupervised needs labels twice

Supervised uses labeled data; unsupervised finds patterns without labels

Supervised is faster

Which technique helps prevent overfitting by exposing model to varied data?

Quantization

Regularization

Padding

What is gradient descent used for in ML?

To minimize a loss function

To generate random data

To maximize accuracy

Which term describes a model's poor performance on new data?

Underfitting

Overfitting

Data leakage

What is reinforcement learning primarily about?

Unsupervised clustering

Learning by trial and error from feedback

Supervised labeling

Why is dataset quality important in AI models?

Data quantity is all that matters

Low-quality data speeds up training

High-quality data improves accuracy and fairness

What safety and ethics concern is crucial in AI deployment?

Color depth of images

Bias and fairness in results

Keyboard layout

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AI Fundamentals Quest

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Froggy Jumps

AI Fundamentals QuestVersión en línea

por Prof. Chaitanya Kulkarni

What is the main goal of artificial intelligence?

Which learning method uses labeled data for training?

What is a neural network primarily inspired by?

What distinguishes supervised from unsupervised learning?

Which technique helps prevent overfitting by exposing model to varied data?

What is gradient descent used for in ML?

Which term describes a model's poor performance on new data?

What is reinforcement learning primarily about?

Why is dataset quality important in AI models?

What safety and ethics concern is crucial in AI deployment?

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