Remove Clustering Remove Support Vector Machines Remove Tableau
article thumbnail

Big Data Syllabus: A Comprehensive Overview

Pickl AI

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js Students should learn how to train and evaluate models using large datasets.

article thumbnail

Best Resources for Kids to learn Data Science with Python

Pickl AI

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.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

Luckily, nothing too complicated is needed, as Tableau is user-friendly while matplotlib is the popular Python library for data visualization. Classification techniques like random forests, decision trees, and support vector machines are among the most widely used, enabling tasks such as categorizing data and building predictive models.

article thumbnail

Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Machine Learning Supervised Learning includes algorithms like linear regression, decision trees, and support vector machines. Unsupervised Learning techniques such as clustering and dimensionality reduction to discover patterns in data.