Supervised Learning Courses and Certifications

University of Maryland, Baltimore County;  University System of Maryland

Supervised Learning

Master supervised learning algorithms like KNN, SVM, and Random Forest using Sklearn in Python, focusing on practical implementation and real-world problem-solving applications.

• edX
• 6 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Great Learning

Supervised Machine Learning with Tree-Based Models

Learn supervised machine learning using tree-based models. Explore decision trees and random forests, with practical Python implementations for real-world problem-solving and performance optimization.

• YouTube
• 1 hour 42 minutes
• On-Demand
• Free Video

Serrano.Academy

Supervised Learning

Explore linear regression, logistic regression, perceptron algorithm, and support vector machines in this friendly introduction to key supervised learning concepts.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

IEEE

Grammatical Inference and Language Frameworks for LANGSEC

Explore grammatical inference and language frameworks for enhancing security protocols and parsers. Learn about pattern languages, formal systems, and their applications in HTTP session analysis.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Simons Institute

Recent Developments in Supervised Learning With Noise

Explore recent advancements in supervised learning with noise, focusing on high-dimensional scenarios, noise models, and innovative techniques to overcome learning challenges.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Simons Institute

Disentangling Influence: Using Disentangled Representations to Audit Model Predictions

Explore disentangled representations to audit model predictions, examining direct and indirect influence, independent factors, and experimental results in fairness research.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Paul Hand

Supervised Machine Learning Review

Comprehensive review of supervised machine learning concepts, focusing on statistical frameworks, loss functions, and the intriguing double-descent phenomenon in neural networks.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Yannic Kilcher

Learning to Summarize from Human Feedback

Explore OpenAI's innovative approach to text summarization using human feedback and reinforcement learning, improving summary quality beyond traditional metrics and supervised learning methods.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Yannic Kilcher

Reinforcement Learning Upside Down - Don't Predict Rewards, Just Map Them to Actions

Innovative approach to reinforcement learning that maps desired rewards to actions, transforming it into supervised learning. Shows promising performance compared to traditional RL algorithms.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Pascal Poupart

Inverse RL

Explore inverse reinforcement learning, its applications, and key concepts like feature matching and maximizing margins. Learn implementation techniques and policy induction.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Great Learning

Supervised Learning Full Course - Supervised Learning Tutorial for Beginners

In this video we will be explaining various advantages in detail. We will also be covering different topics such as, What is Machine Learning, What are their types, Python implementation for Regression, and much more.

• YouTube
• 4 hours 46 minutes
• On-Demand
• Free Video

Brandon Rohrer

How K-Nearest Neighbors Works

Explore k-nearest neighbors algorithm for classification and regression, including key considerations like k value, feature scaling, and distance metrics.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Paul G. Allen School

Natural Language Processing - Yoav Artzi - Cornell University

Explore natural language instruction following for robots and collaborative scenarios, featuring new datasets, interpretable models, and learning methods combining supervised and reinforcement approaches.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Great Learning

Supervised Learning Projects Tutorial - Machine Learning Tutorial

Hands-on tutorial exploring supervised learning projects, including COVID-19 prediction, Pokémon analysis, and credit card fraud detection. Covers data gathering, visualization, and practical implementation of machine learning algorithms.

• YouTube
• 2 hours 59 minutes
• On-Demand
• Free Video

UofU Data Science

Supervised Learning: The Setup and Hypothesis Spaces - Lecture 2

Dive into supervised learning fundamentals through interactive examples, exploring instance spaces, label spaces, and hypothesis spaces while understanding their crucial roles in machine learning.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video