Question

Differentiate between Machine learning and Deep learning Class 10

Topic: Machine learning & Deep learning Class 10 Artificial Intelligence
Type: Long Answerer

Answer 1

Machine Learning:-

1. Machine Learning is a superset of Deep Learning
2. The data represented in Machine Learning is quite different as compared to Deep Learning as it uses structured data
3. Machine Learning is an evolution of AI
4. Machine learning consists of thousands of data points.
5. Outputs: Numerical Value, like classification of score
6. Uses various types of automated algorithms that turn to model functions and predict future action from data.
7. Algorithms are detected by data analysts to examine specific variables in data sets.
8. Machine Learning is highly used to stay in the competition and learn new things. 

Deep Learning:-

1. Deep Learning is a subset of Machine Learning
2. The data representation is used in Deep Learning is quite different as it uses neural networks (ANN).
3. Deep Learning is an evolution to Machine Learning. Basically it is how deep is the machine learning.
4. Big Data: Millions of data points.
5. Anything from numerical values to free-form elements, such as free text and sound.
6. Uses neural network that passes data through processing layers to the interpret data features and relations.
7. Algorithms are largely self-depicted on data analysis once they’re put into production.
8. Deep Learning solves complex machine learning issues.

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Study more about ML and DL at ML and DL Class 10