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Which industry uses ML for fraud detection?

What does "overfitting" mean in machine learning?

ML_101

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1
What does "overfitting" mean in machine learning?
The model learns too little from data
The model runs out of memory
The model is perfect and error-free
The model performs well on training data but poorly on new data
2
Which industry uses ML for fraud detection?
Retail
Finance
Entertainment
Healthcare
3
Which of these is an example of supervised learning?
Clustering similar customers based on buying behavior
Making a chatbot answer random questions
Grouping news articles by topic
Predicting house prices based on historical sales data
4
In traditional programming, how do we make decisions?
Using random guesses
By learning from past data
Through neural networks
Using predefined rules and conditions
5
Which of these is NOT a type of machine learning?
Deep Learning
Supervised Learning
Unsupervised Learning
Reinforced Learning
6
Which machine learning application is used for self-driving cars?
Supervised Learning
Reinforcement Learning
7
What is the first step in building an ML model?
Deploying the model
Choosing the best algorithm
Training the model
Collecting and preparing data
8
What does ‘supervised learning’ mean?
Learning only with images
Learning from unlabeled data
Learning from labeled data
Learning under human supervision
9
What is the primary goal of machine learning?
Writing rules manually
Memorizing all possible outputs
Running code faster
Learning patterns from data to make predictions
10
Which of these is an example of machine learning in action?
Typing in a Word document
A calculator performing addition
A light switch turning on/off
Netflix recommending movies based on watch history