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Data Science: Machine Learning
Sobre este cursoOmitir Sobre este curso
Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.
In this course,part ofourProfessional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.
You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.
De un vistazo
- Institución: HarvardX
- Tema: Análisis de datos
- Nivel: Introductory
This course is part of our Professional Certificate Program in Data Science and we recommend the preceding courses in the series as prerequisites.
- Idioma: English
- Transcripción de video: English
- Programas asociados:
- Professional Certificate en Data Science
- Associated skills:Principal Component Analysis, Forecasting, Speech Recognition, Algorithms, Machine Learning, Data Science, Machine Learning Algorithms, Recommender Systems
Lo que aprenderásOmitir Lo que aprenderás
- The basics of machine learning
- How to perform cross-validation to avoid overtraining
- Several popular machine learning algorithms
- How to build a recommendation system
- What is regularization and why it is useful?
Acerca de los instructores
Preguntas frecuentesOmitir Preguntas frecuentes
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