6 Difference between Machine Learning Vs Data Science.

1.🔶 Data Science - Branch of science that deals with data.

Machine learning - Machines utilize data science techniques to learn and act upon the data.

2.🔶 Goals:

Data Science-

To prove or disprove a certain hypothesis and get new insights using various data sources.

Machine Learning-

To develop software that learns by itself from past data by extracting meaning from data and making predictions for new data.

1. 🔶 Focus:

Data Science -

Focuses on both algorithm statistics and data processing.

Machine Learning -

Focuses only on algorithm statistics.

1. 🔶 Tools:

Data Science-

Involves using ML tools to work with both structured and unstructured data

Machine Learning-

Involves using ML algorithms and analytical models.

1. 🔶 Range:

Data Science-

Involves data acquisition, data cleaning, data manipulation, etc.

Machine Learning-

Includes supervised, unsupervised, and semi-supervised learning.

1. 🔶 Output:

Data Science-

Report based on key data.

Machine Learning-

ML model