What Are the Key Differences Between Machine Learning and Deep Learning?

As artificial intelligence becomes more integrated into our daily lives, terms like Machine Learning and Deep Learning frequently come up.

While both technologies involve the ability of computers to learn and make predictions based on data, there is a clear distinction between the two terms.

In this lesson, we will clearly outline the key differences between machine learning and deep learning.

Machine Learning is a general term for algorithms that learn from data to find patterns and make predictions autonomously.

In machine learning, humans manually extract and select features, and learning is achieved through various algorithms.

Deep Learning is a subset of machine learning, utilizing artificial neural networks composed of multiple layers for learning.

The reason it's called deep learning is that these neural networks can be constructed with dozens of layers.

We have now explored the concepts and differences between machine learning and deep learning.

Technical details, including Python code related to deep learning, will be covered in detail in subsequent lessons.

In the next lesson, we will conduct a quiz based on what we've learned about machine learning and deep learning so far.