Introduction to Machine Learning | SUNY University at Buffalo

Comprehensive coverage of machine learning algorithms and techniques. Hands-on projects and experienced faculty. Ideal for students interested in data science and AI.

Introduction

This course provides an introduction to the fundamental concepts and techniques of machine learning. It covers a wide range of machine learning algorithms, including supervised and unsupervised learning, as well as reinforcement learning. Students will learn how to apply these algorithms to real-world problems and gain practical experience through hands-on projects.

Highlights

• Comprehensive coverage of machine learning algorithms and techniques
• Hands-on projects and assignments to reinforce learning
• Taught by experienced faculty from SUNY University at Buffalo
• Suitable for both undergraduate and graduate students

Recommendation

This course is highly recommended for students interested in machine learning, data science, and artificial intelligence. It provides a solid foundation in the principles and applications of machine learning, making it a valuable asset for anyone looking to pursue a career in these fields or enhance their existing knowledge and skills.

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