Coursera - Supervised Machine Learning: Regression and Classification - Week 1 - Section 2 - Supervised vs. Unsupervised Machine Learning
2025年01月21日
Question
If Arthur Samuel's checkers-playing program had been allowed to play only 10 games against itself, how would this have affected its performance compared to when it was allowed to play over 10,000 games?
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Types of Supervised learning algorithms:
Supervised learning is when we give our learning algorithm the right answer y for each example to learn from. Which is an example of supervised learning?
For instance, emails labeled as "spam" or "not spam" are examples used for training a supervised learning algorithm. The trained algorithm will then be able to predict with some degree of accuracy whether an unseen email is spam or not.
clustering
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Types of unsupervised learning algorithms:
Of the following examples, which would you address using an unsupervised learning algorithm? (Check all that apply.)
1&3: This a type of unsupervised learning called clustering
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Week 1: Introduction to Machine Learning
Section 2: Supervised vs. Unsupervised Machine Learning
1. Video: What is machine learning?
Question
If Arthur Samuel's checkers-playing program had been allowed to play only 10 games against itself, how would this have affected its performance compared to when it was allowed to play over 10,000 games?
- Would have made it worse
- Would have made it better
2. Video: Supervised learning part 1
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Types of Supervised learning algorithms:
- Regression
- Classification
3. Video: Supervised learning part 2
Supervised learning is when we give our learning algorithm the right answer y for each example to learn from. Which is an example of supervised learning?
- Spam filtering.
- Calculating the average age of a group of customers.
For instance, emails labeled as "spam" or "not spam" are examples used for training a supervised learning algorithm. The trained algorithm will then be able to predict with some degree of accuracy whether an unseen email is spam or not.
4. Video: Unsupervised learning part 1
-clustering
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5. Video: Unsupervised learning part 2
Types of unsupervised learning algorithms:
- Clustering
- Anomaly detection
- Dimensionality reduction
Of the following examples, which would you address using an unsupervised learning algorithm? (Check all that apply.)
- Given a set of news articles found on the web, group them into sets of articles about the same stories.
- Given email labeled as spam/not spam, learn a spam filter.
- Given a database of customer data, automatically discover market segments and group customers into different market segments.
- Given a dataset of patients diagnosed as either having diabetes or not, learn to classify new patients as having diabetes or not.
1&3: This a type of unsupervised learning called clustering
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6. Video: Jupyter Notebooks
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7. Lab: Python and Jupyter Notebooks
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