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Applied Machine Learning : Algorithms / with Matt Harrison.
- Format:
- Video
- Author/Creator:
- Harrison, Matthew, speaker.
- Language:
- English
- Genre:
- Instructional films.
- Educational films.
- Physical Description:
- 1 online resource
- Place of Publication:
- Carpenteria, CA : linkedin.com, 2024.
- System Details:
- Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
- Summary:
- Learn about common machine learning algorithms, their pros and cons, and develop hands-on skills to leverage them.
- With the growing importance of machine learning in almost every sector, professionals need a deeper understanding and practical approach to implementing ML algorithms effectively. This course covers commonly used machine learning algorithms. Instructor Matt Harrison focuses on non-deep learning algorithms, covering PCA, clustering, linear and logistic regression, decision trees, random forests, and gradient boosting. Join Matt in this course to understand common ML algorithms, learn their pros and cons, and develop hands-on skills to leverage them by following along with challenges and solutions in GitHub Codespaces.
- Participant:
- Presenter: Matt Harrison
- Notes:
- 4/15/202412:00:00AM
- Access Restriction:
- Restricted for use by site license.
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