[ DevCourseWeb.com ] Understanding Algorithmic Foundations of AI & ML



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Published 3/2024

Created by Richard Aragon

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 9 Lectures ( 2h 32m ) | Size: 2.52 GB



How To Understand The Algorithms That Make Machines Learn



What you'll learn:

Differentiate between Core Algorithm Types: Explain the distinctions between supervised, unsupervised, and reinforcement learning algorithms.

mplement Regression and Classification: Design and implement algorithms for regression and classification tasks.

Utilize Decision Trees and Random Forests: Construct decision trees and random forests.

Explain Neural Network Concepts: Describe the key components of neural networks (layers, neurons, activation functions.

Evaluate and Optimize Algorithms: Apply performance metrics (e.g., accuracy, precision, F1-score) to evaluate algorithms.



Requirements:

Familiarity with Python is highly encouraged.



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