Introduction to Machine Learning
This course provides a comprehensive introduction to the fundamental concepts of machine learning. Learn how machines can learn from data and make predictions or decisions without being explicitly programmed. Designed for absolute beginners, this course covers essential topics, including supervised and unsupervised learning, model evaluation, and basic algorithms.
What You'll Learn
Fundamentals of Machine Learning
Understand the basic principles and definitions in machine learning.
Supervised vs Unsupervised Learning
Differentiate between supervised and unsupervised learning techniques.
Model Evaluation
Learn how to evaluate the performance of machine learning models.
Basic Algorithms
Explore common algorithms used in machine learning, such as linear regression and k-means clustering.
Practical Applications
Recognize real-world applications of machine learning in various industries.
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