Data Science: Machine Learning

عن

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.

What you will learn

• 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?

Skills you learn

• Speech Recognition
• Machine Learning
• Forecasting
• Recommender Systems
• Principal Component Analysis
• Machine Learning Algorithms
• Algorithms
• Data Science

Auto Summary

Dive into the world of machine learning with this foundational course in IT & Computer Science, led by edX. Over 25 hours, explore popular algorithms, principal component analysis, and regularization by creating a movie recommendation system. Ideal for beginners, this engaging course is part of Harvard's Professional Certificate Program in Data Science. Available with a Starter subscription, it's perfect for aspiring data scientists eager to master predictive relationships and algorithm training.