Machine learning, deep learning, and artificial intelligence are related terms, but quite different. In this video, learn the correct definitions and uses of these terms.
- [Narrator] In this lesson,…we're going to try to develop an understanding…of how the fields of machine learning, deep learning,…and artificial intelligence are related.…These terms are wrongfully used interchangeably.…As we work through clarifying what machine learning is,…I also want to be clear about what it is not.…Just doing a simple Google search of these terms…will return hundreds of Venn diagrams…attempting to describe how these three terms are related.…Here's one such example,…and I only show this just to illustrate…how difficult it is to understand some of these diagrams.…
There's just way too much going on here…to really understand the certain relationships…that we're interested in.…What I'm hoping to lay out in the coming slides…is a much more simplified explanation…of how these terms are related.…So beginning with machine learning.…This is the definition that we saw back in lesson one.…Machine learning is the process…of fitting functions to examples…and then using that function to generalize…and make predictions about new examples.…
Author
Released
5/10/2019- What is machine learning (ML)?
- ML vs. deep learning vs. AI
- Handling common challenges in ML
- Plotting continuous features
- Continuous and categorical data cleaning
- Measuring success
- Overfitting and underfitting
- Tuning hyperparameters
- Evaluating a model
Skill Level Beginner
Duration
Views
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What you should know1m 6s
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Using the exercise files1m 24s
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1. Machine Learning Basics
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Common challenges6m 4s
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2. Exploratory Data Analysis and Data Cleaning
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Plotting continuous features7m 35s
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Continuous data cleaning5m 44s
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Categorical data cleaning4m 33s
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3. Measuring Success
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Why do we split up our data?5m 54s
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4. Optimizing a Model
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What is underfitting?2m 26s
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What is overfitting?2m 47s
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Finding the optimal tradeoff3m 16s
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Hyperparameter tuning6m 22s
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Regularization2m 31s
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5. End-to-End Pipeline
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Overview of the process1m 48s
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Clean categorical features4m 18s
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Tune hyperparameters6m 34s
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Conclusion
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Next steps1m 23s
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Video: Machine learning vs. Deep learning vs. Artificial intelligence