How Machine Learning Works - Understanding the Basics

Machine learning is a cutting-edge field of computer science that enables systems to learn from data and make accurate predictions — it's one of the most talked-about topics in tech today.

In this video, we’ll explore the inner workings of machine learning and answer the question, “How do machine learning models learn to identify patterns and make predictions?” By the end of this video, you'll have a clear understanding of the training process involved in machine learning, including how models learn the relationship between input and output data.

What You’ll Learn in This Video:

• - Introduction to Machine Learning: Understand what machine learning is and why it’s important.
• - How Models Learn: Discover the process of training machine learning models to find patterns in data.
• - Making Predictions: Learn how machine learning models make predictions based on learned patterns.

Want to dive deeper into machine learning? Check out these resources:

• - Intro to Machine Learning: https://www.codecademy.com/learn/machine-learning?utm_source=youtube&utm_medium=organic-social
• - Build a Machine Learning Model with Python: https://www.codecademy.com/learn/paths/machine-learning?utm_source=youtube&utm_medium=organic-social
• - Machine Learning and AI Fundamentals: https://www.codecademy.com/learn/paths/machine-learning-ai-engineering-foundations?utm_source=youtube&utm_medium=organic-social

Connect with Codecademy:

• - Learn to Code: https://www.codecademy.com/?utm_source=youtube&utm_medium=organic-social
• - Explore Our Full Course Catalog: https://www.codecademy.com/catalog?utm_source=youtube&utm_medium=organic-social

#MachineLearning #AI #DataScience #Coding

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