Remove Supervised Learning Remove Support Vector Machines Remove Tableau
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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets. Key topics include: Supervised Learning Understanding algorithms such as linear regression, decision trees, and support vector machines, and their applications in Big Data.

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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.

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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.