Supervised Learning Courses and Certifications

Kaggle;  Amazon Web Services;  Amazon Microcredential

Introduction to Machine Learning with TensorFlow

5 reviews

Learn supervised and unsupervised machine learning techniques using TensorFlow and Python. Master regression, neural networks, clustering, and more to solve real-world problems and build an image classifier.

• Udacity
• 49 hours
• On-Demand
• Paid Course

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

Machine Learning with Python

18298 ratings at Coursera

Dive into Machine Learning with Python, covering supervised and unsupervised learning, regression, classification, and clustering. Gain hands-on experience using SciPy and scikit-learn libraries.

• Coursera
• 20 hours 5 minutes
• On-Demand
• Paid Course

Predictive Modelling with Applications: Supervised and Unsupervised Learning

Master predictive modeling techniques including PCA, clustering, regression analysis, and logistic regression using R for improved data-driven decision making.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course

Learning from Input and Output: Supervised Learning: Wolfram U Class

Explore supervised learning in Wolfram Language using Predict and Classify functions to create customizable AI models from labeled data, with performance evaluation techniques.

• Wolfram U
• 40 minutes
• On-Demand
• Free Online Course

Supervised Machine Learning

This practical course is designed for individuals who utilise data to make informed decisions and wish to enhance their decision-making skills.

• OpenLearning
• 20 hours
• On-Demand
• Paid Course

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

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

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

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

Machine Learning: Clustering & Retrieval

5 reviews

Explore similarity-based algorithms for document retrieval, clustering techniques, and topic modeling. Learn to implement k-nearest neighbors, k-means, EM, and LDA for analyzing large text datasets.

• Coursera
• 17 hours 21 minutes
• On-Demand
• Paid Course

Machine Learning for Absolute Beginners - Level 1

32903 ratings at Udemy

Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology

• Udemy
• 4 hours 28 minutes
• On-Demand
• Paid Course

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

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

INI Seminar Room 2

Supervised Graph Prediction: From Kernel to Optimal Transport Losses

Explore supervised graph prediction with Prof. Florence d'Alché-Buc, covering kernel and optimal transport losses in this mathematical sciences seminar at the Isaac Newton Institute.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video