Why is it important to choose the right type of machine learning algorithm when developing an AI tool for a specific task? Unsupervised learning is always the best choice. The dataset is more important than the algorithm. Supervised learning is always the best choice. The algorithms are designed for different types of tasks.
Added by Brian G.
Step 1
Different tasks require different approaches. For example, if the task involves predicting a label based on input data, supervised learning is appropriate. If the task involves finding patterns or groupings in data without labeled outcomes, unsupervised learning Show more…
Show all steps
Your feedback will help us improve your experience
Supreeta N and 81 other AP CS educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Which of the following is not one of the five basic questions that machine learning applications answer? Is it different? How are these alike? What should I do next? What data should I use? Which of the following best describes supervised learning? The output is a known set of values to predict from the input. None of these choices is correct. The computer discovers patterns in the data. The model discerns how elements of the dataset are alike. If the AI application predicts three classifications, how may rows would be in the confusion matrix to summarize results? Two or more. Exactly 3. Only 1. Exactly 2.
Supreeta N.
What is true about machine learning algorithms? A/ Model is fitted using training dataset B/ Performance of the model is assessed using test data C/ Model is validated on validation dataset D/ Model is calibrated on test dataset E/ Validation dataset is used to minimize model overfitting Select all that apply to a traditional classification tree model: A/ Group of answer choices B/ Unsupervised learning method C/ Requires categorical output (target) variable D/ Does not require any output variables E/ None of the above F/ Supervised learning method
Shaiju T.
For Supervised Machine Learning, which of the following must occur? Select one or more: a. The model can then be applied to anything. b. The training data must be tagged. c. The training data can be any type, not just images. d. The computer then creates a model that can identify the same kinds of items as the training data.
Akash M.
Recommended Textbooks
Computer Science and Information Technology
Introduction to Programming Using Python
Computer Science - An Overview
Transcript
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD