How are Data Science, Machine Learning and Deep Learning related ?

The modern technologies such as Data science ,Machine learning and  Deep learning are quite confusing in terms of their difference and definition. As they all are interconnected with each other.  Although each has a distinct purpose and functionality. Let’s find out the relation between these technologies.

Data Science is a much broader term than machine learning. Applying Machine learning and Deep learning techniques are aspects of data science.

Data Science is basically the study of :

• Collecting data
• Storing data
• Processing data
• Describing data
• Modelling data

Now modelling of data is basically done by two types :

1.  Statistical modelling

1.  Algorithmic modelling

In statistical modelling  we basically use very simple models for robust statistical analysis & statistical guarantees. (it is most suited for low-dimensional data)

But in case of more complex relationship we use alternative approach (i.e algorithmic modelling) and build complex models and that's why we go into the domain of Machine Learning. (it can work with high dimensional data)

Machine learning allows you to a large family of very complex functions.

Machine learning  estimates the function using the data and by using optimization techniques.

Now , when  you have large amount of high dimensional data and you want to learn very complex relationships between the output and domain, then we use a specific class of complex ML models and algorithms . collectively referred to as  Deep Learning.