kwizie‹Quiz Library‹Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn
Created from Youtube video: https://www.youtube.com/watch?v=ukzFI9rgwfUvideoConcepts covered:machine learning, supervised learning, unsupervised learning, reinforcement learning, real-world applications
The video introduces the concept of machine learning, explaining how machines can be trained to learn from past data to make predictions, using examples like song preferences and currency identification. It covers different types of machine learning, including supervised, unsupervised, and reinforcement learning, and discusses real-world applications such as fraud detection, sentiment analysis, and surge pricing in ride-sharing services.
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Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn
Concepts covered:machine learning, supervised learning, unsupervised learning, reinforcement learning, real-world applications
The video introduces the concept of machine learning, explaining how machines can be trained to learn from past data to make predictions, using examples like song preferences and currency identification. It covers different types of machine learning, including supervised, unsupervised, and reinforcement learning, and discusses real-world applications such as fraud detection, sentiment analysis, and surge pricing in ride-sharing services.
Question 1
Machine learning can predict outcomes from past data.
Question 2
How does supervised learning utilize labeled data?
Question 3
Paul's song preferences are based on tempo and _____ of the song.
Question 4
CASE STUDY: A bank wants to detect fraudulent transactions using past transaction data.
What does the scenario mean?
Question 5
CASE STUDY: A social media platform analyzes user sentiment from posts and comments.
Select three correct methods for analysis.
Question 6
Unsupervised learning requires labeled data for training.
Question 7
How does unsupervised learning identify patterns?
Question 8
Machine learning involves training machines to learn from _____ data.
Question 9
CASE STUDY: A music streaming service wants to predict user preferences based on song features.
What should the service do next?
Question 10
Supervised learning uses labeled data for training models.
Question 11
What is the role of feedback in reinforcement learning?
Question 12
Unsupervised learning identifies patterns without using _____ data.
Question 13
K-nearest neighbors is a basic machine learning algorithm.
Question 14
What challenge does machine learning address in complex choices?
Question 15
The k-nearest neighbors algorithm is used to classify _____ songs.
Question 16
Reinforcement learning is based on feedback and rewards.
Question 17
What enables machine learning in today's era?
Question 18
Supervised learning uses _____ data to train the model.
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