Free AI Machine Learning Course By Harvard University | Data Science

About this Course

Machine learning has revolutionized data-driven decision-making, powering some of the most innovative technologies in our everyday lives. From speech recognition systems and movie recommendations to spam filtering and handwriting analysis, machine learning is at the core of these advancements.

This course introduces the foundations of machine learning, focusing on building predictive algorithms using real-world data. You will explore essential concepts like training data, predictive modeling, principal component analysis, and regularization while creating a movie recommendation system.

Gain practical skills in:

• Understanding and applying machine learning algorithms.
• Training algorithms with data to predict outcomes for new datasets.
• Avoiding overfitting through techniques like cross-validation.
• Building and refining recommendation systems.
• Learning the role of regularization to enhance model performance.

This course is perfect for beginners in data science who want hands-on experience with machine learning fundamentals.

What You’ll Learn

• Basics of machine learning and its real-world applications.
• How to perform cross-validation to improve model reliability.
• Popular machine learning algorithms and their use cases.
• Developing a recommendation system from scratch.
• The concept of regularization and its importance in avoiding overfitting.

Skills You’ll Develop

• Machine Learning Fundamentals
• Recommender Systems Development
• Data Modeling and Analysis
• Principal Component Analysis
• Cross-Validation Techniques

Language Options

This course is offered in English with video transcripts available in multiple languages, including Arabic, Hindi, French, Chinese, Spanish, and more.

Whether you're starting your journey into data science or looking to build practical machine learning projects, this course offers the perfect foundation to enhance your skills and apply them to real-world challenges.