Machine Learning Courses and Certifications

EuroPython Conference

Protecting Your Machine Learning Against Drift - An Introduction

Introduction to detecting and protecting against machine learning model drift, covering statistical methods, offline and online detection strategies, and practical implementation using alibi-detect library.

• YouTube
• 49 minutes
• Self-Paced
• Conference Talk

EuroPython Conference

Audio Classification with Machine Learning

Learn to build practical machine learning models for audio classification using spectrograms, CNNs, and techniques like transfer learning and data augmentation with Keras and TensorFlow.

• YouTube
• 43 minutes
• Self-Paced
• Conference Talk

EuroPython Conference

Industrial Machine Learning Pipelines with Python & Airflow

Learn to build scalable, distributed machine learning data pipelines using Airflow with Celery backend. Gain insights on industry challenges, comparisons with other technologies, and practical knowledge for implementation.

• YouTube
• 28 minutes
• Self-Paced
• Conference Talk

EuroPython Conference

Explaining Behavior of Machine Learning Models with ELI5 Library

Explore techniques for interpreting and debugging ML models using eli5 library. Learn to explain linear models, decision trees, ensembles, and classifiers, improving trust and quality in ML solutions.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

EuroPython Conference

Machine Learning - Power of Ensembles

Explore ensemble methods in machine learning, combining diverse models for improved accuracy. Learn bagging, boosting, and stacking techniques with real-world examples and practical insights.

• YouTube
• 17 minutes
• Self-Paced
• Conference Talk

Machine Learning for K8s Logs and Metrics

Explore advanced techniques for monitoring Kubernetes logs and metrics using machine learning, enhancing system reliability and incident response.

• YouTube
• 57 minutes
• Self-Paced
• Conference Talk

MLOps at Snapchat - Continuous Machine Learning with Kubeflow & Spinnaker

Explore Snapchat's MLOps journey: transforming manual processes into automated ML pipelines using Kubernetes, Kubeflow, and Spinnaker for continuous integration, delivery, and training in computer vision.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

GOTO Conferences

Functional Programming and Scala for Machine Learning - YOW! 2015

Explore how functional programming and Scala can revolutionize machine learning, offering strongly-typed solutions for efficient algorithm implementation and scalable data processing.

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

Uncertainty in Artificial Intelligence

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning - Session 2

Explore critical analysis of uncertainty quantification in machine learning, examining conditional entropy and mutual information as measures for aleatoric and epistemic uncertainty.

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

Xanadu

Quantum Machine Learning: 2023 and Beyond

Explore quantum machine learning's current state and future prospects with insights from a senior researcher in the field.

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

Xanadu

Five Key Insights in Quantum Machine Learning - and What is Still Missing

Explore five crucial insights in quantum machine learning and identify gaps in current research with expert Maria Schuld.

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

Canonical Ubuntu

Introduction to MLFlow: Managing Machine Learning Workflows

Explore MLFlow's role in managing machine learning workflows, its key components, and how it fits into the MLOps ecosystem. Learn about Charmed MLFlow and its applications.

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

Canonical Ubuntu

Introduction to Machine Learning Operations (MLOps)

Explore MLOps practices for efficient ML model deployment and maintenance. Learn about Charmed Kubeflow and how to choose the right solution for your AI/ML projects.

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

Imperial College London

Metabolism Meets Machine Learning: Computational Metabolomics

Explore computational metabolomics, combining metabolism and machine learning. Discover metabolite measurement, data analysis, and future directions in biomedical science.

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

ADC - Audio Developer Conference

Real-Time Interactive Synthesis with Machine Learning: Differentiable DSP in a Plugin - Lecture

Explore real-time interactive synthesis using machine learning and differentiable DSP. Learn about DDSP implementation, creative expression, testing approaches, and future prospects in audio processing.

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