data science and machine learning

DATA SCIENCE AND MACHINE LEARNING
Data Science:

Data science is an interdisciplinary field
that combines statistics, mathematics,
programming, and domain knowledge to
extract insights and knowledge from
data.
It involves various stages such as data
collection, data cleaning, data
exploration, data modeling, and data
visualization.
Data scientists use tools and techniques
like statistical analysis, data mining,
machine learning, and predictive
modeling to uncover patterns, make
predictions, and support decision-
making processes.

, Machine Learning:

Creating methods and models that allow
computers to learn from data and make
predictions or take actions without
explicit programming is the focus of the
machine learning subfield of artificial
intelligence (AI).
To generate predictions or categorise
brand-new, untainted data, supervised
learning requires training a model using
labelled data.
Unsupervised learning seeks to identify
links and patterns in unlabeled data,
frequently using methods like
dimensionality reduction or grouping.
A kind of machine learning known as
"deep learning" makes use of neural