Hadoop, ML, Supervised Learning and Support Vector Machines

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

What is machine learning? Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Best Resources for Kids to learn Data Science with Python

Pickl AI

MAY 31, 2023

Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines.

Data Science

Data Science Python Data Scientist Machine Learning

Data Science Current

Data science vs. machine learning: What’s the difference?

Best Resources for Kids to learn Data Science with Python

Webinars

Stay Connected