Machine Learning Courses and Certifications

MIT HAN Lab

EfficientML.AI - Introduction to Efficient Machine Learning

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods and performance enhancement.

• YouTube
• 1 hour 41 minutes
• Self-Paced
• Free Video

Centre for Networked Intelligence, IISc

Coresets for Machine Learning - Tensor Factorization and Bregman Clustering

Explore advanced techniques for data summarization through coresets, focusing on tensor factorization and Bregman clustering, with applications in efficient machine learning algorithms for massive datasets.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning Fundamentals - Lecture 11

Dive into advanced machine learning concepts and data science fundamentals through comprehensive theoretical discussions and practical applications at a graduate level.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning Fundamentals - Lecture 1

Dive into foundational machine learning concepts, algorithms, and theoretical frameworks in this comprehensive first lecture of advanced data science studies.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning Practical Concerns and Societal Impacts - Lecture 28

Explore practical neural network implementation challenges and gain valuable insights into building ethical, socially responsible machine learning systems.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Learning as Loss Minimization in Machine Learning - Lecture 23

Delve into the fundamental concept of learning as optimization, exploring how empirical risk minimization forms the foundation of machine learning algorithms.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning Mid-Semester Review - Lecture 15

Dive into a comprehensive mid-semester review of fundamental machine learning concepts, covering key principles and techniques explored throughout the academic term.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Support Vector Machines and Maximizing Margins in Machine Learning - Lecture 20

Dive into support vector machines, exploring margin maximization, linear classifiers, and regularized risk minimization for advanced machine learning applications.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning Fundamentals and Perceptron Algorithm

Dive into fundamental machine learning concepts, from feature vectors to binary classification, culminating in a detailed exploration of the Perceptron algorithm.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Loss Minimization in Machine Learning - Lecture 22

Explore the fundamental concept of learning as optimization through empirical risk minimization, focusing on loss minimization principles in machine learning applications.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

MIT HAN Lab

EfficientML.ai Lecture - Introduction to Efficient Machine Learning

Explore cutting-edge techniques for optimizing machine learning models, focusing on efficiency and performance in AI applications.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

The Price of Implicit Bias in Robust Machine Learning

Explore the impact of implicit bias on robust machine learning, examining challenges in neural network performance and generalization gaps in worst-case scenarios.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Bureau of Economic Geology

Toward Sustainable Coastal Environments: Coastal Hazards and Machine Learning

Explore innovative machine learning approaches for coastal hazard forecasting, assessment, and risk management, addressing challenges in tsunami and storm surge modeling for sustainable coastal environments.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

MIT HAN Lab

EfficientML.ai Lecture - Introduction to Efficient Machine Learning

Explore cutting-edge techniques for optimizing machine learning models, focusing on efficiency and performance in real-world applications.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

MLOps World: Machine Learning in Production

Reproducible Machine Learning - How Not to Repeat the Past

Explore techniques for organizing and reproducing deep learning experiments, including standardized logging, versioning, and templated workflows. Enhance collaboration and minimize duplication in ML projects.

• YouTube
• 37 minutes
• Self-Paced
• Free Video