Machine Learning Courses and Certifications

Yannic Kilcher

Learning Rate Grafting: Transferability of Optimizer Tuning - Machine Learning Research Paper Review

Explore grafting technique for transferring learning rate schedules between optimizers, improving deep learning model performance and reducing computational costs in hyperparameter tuning.

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

a16z

Better Together- Humanity + Machine Learning

Exploring the synergy between humans and AI, this talk delves into how machine learning can augment human capabilities, revolutionize industries, and create new opportunities while addressing ethical considerations.

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

Valerio Velardo - The Sound of AI

Types of Audio Features for Machine Learning

Explore audio feature types for ML: time, frequency, and time-frequency domains. Learn categorization based on abstraction, ML approach, and temporal scope for intelligent audio applications.

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

Fields Institute

Machine Learning and Dynamical Systems

Explore cutting-edge research connecting machine learning with dynamical systems through 40+ expert presentations on reservoir computing, Koopman operators, and neural differential equations.

• YouTube
• 20 hours 58 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Statistical Methods and Machine Learning in High Energy Physics - 2023

Explore advanced statistical methods and machine learning techniques for analyzing high energy physics data, including neural networks, anomaly detection, and simulation-based inference.

• YouTube
• 1 day 14 hours 11 minutes
• Self-Paced
• Free Video

MIT HAN Lab

EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

Explore efficient machine learning techniques and their applications in this comprehensive introduction to EfficientML.ai from MIT's Prof. Song Han.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

MIT HAN Lab

EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

Explore efficient machine learning techniques and their applications in this introductory lecture from MIT's EfficientML course, led by Prof. Song Han.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Steve Brunton

Designing an Architecture for Physics-Informed Machine Learning - Part 3

Explore various neural network architectures for physics-informed machine learning, including ResNets, UNets, and PINNs. Learn how to incorporate physical principles and symmetries into model design for improved performance.

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

Google Cloud Tech

Using Machine Learning to Predict Weather and Climate Risk

Explore machine learning techniques for weather prediction and climate risk analysis using neural networks, satellite imagery, and Google Cloud tools.

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

Fields Institute

Data-Driven Modelling - Machine Learning and Dynamical Systems

Explore cutting-edge machine learning techniques for modeling complex dynamical systems through data-driven approaches and computational methods.

• YouTube
• 18 hours 28 minutes
• Self-Paced
• Free Video

Aladdin Persson

Machine Learning Algorithms - Implementation from Scratch in Python

Discover how to implement popular machine learning algorithms from scratch using Python, covering KNN, regression, clustering, SVM, and neural networks.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Wolfram

Zero to AI in 60 Minutes - Machine Learning with Wolfram Language

Master machine learning fundamentals in Wolfram Language through classification, prediction, neural networks, and deployment techniques with practical examples across diverse subjects.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning (Fall 2017)

Master fundamental machine learning algorithms, techniques, and applications through comprehensive university lectures covering theory and practical implementation.

• YouTube
• 1 day 12 hours 45 minutes
• Self-Paced
• Free Video

Python Tutorials for Digital Humanities

Machine Learning for Digital Humanities

Discover machine learning and neural networks designed specifically for humanities scholars without mathematical backgrounds using TensorFlow and Keras.

• YouTube
• 2 hours 58 minutes
• Self-Paced
• Free Video

Complexity Explorer

Fundamentals of Machine Learning

Explore machine learning types, supervised learning geometry, neural networks, and AI game applications through practical examples and advanced concepts.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video