Machine Learning Courses and Certifications

Serrano.Academy

Shannon Entropy and Information Gain

Explore Shannon entropy and information gain concepts through interactive examples, quizzes, and games. Learn to calculate probabilities and apply formulas for various scenarios.

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

MIT HAN Lab

EfficientML.ai - Efficient Deep Learning Computing Techniques - MIT 6.5940 Fall 2023

Master efficient deep learning techniques to deploy large models on resource-constrained devices, covering pruning, quantization, neural architecture search, and hands-on LLaMA 2 deployment.

• YouTube
• 2 days 6 hours 2 minutes
• Self-Paced
• Free Video

Data Science & Machine Learning: Naive Bayes in Python

729 ratings at Udemy

Master a crucial artificial intelligence algorithm and skyrocket your Python programming skills

• Udemy
• 7 hours 30 minutes
• Self-Paced
• Paid Course

Machine Learning Product Management: A Practical Guide

665 ratings at Udemy

Kick start your career in Machine Learning Product Management with just one course.

• Udemy
• 4 hours 44 minutes
• Self-Paced
• Paid Course

Stanford Seminar - SMILE- Synchronized, Multi-sensory Integrated Learning Environment

Explore synchronized, multi-sensory integrated learning environments and their impact on distributed systems, cyber-physical networks, and innovative educational technologies.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Online Course

Picking on the Same Person - Does Algorithmic Monoculture Homogenize Outcomes?

Explore algorithmic monoculture's impact on decision outcomes, examining data sharing effects, ethical implications, and potential risks to fairness and individual autonomy.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Denoising Diffusion Models for Denoising Diffusion MRI - Tiange Xiang

Explore innovative self-supervised denoising techniques for diffusion MRI using denoising diffusion models. Learn about a three-stage framework integrating statistic-based theory for improved medical imaging quality.

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

Explaining Model Decisions and Fixing Them Through Human Feedback

Explore algorithms for explaining deep network decisions, building user trust, incorporating domain knowledge, learning grounded representations, and correcting unwanted biases in AI models.

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

Fairness in Representation Learning - Natalie Dullerud

Explore fairness in deep metric learning, evaluating bias in representations and its impact on minority subgroups. Learn about a novel approach to mitigate bias and improve fairness in machine learning models.

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

Real-Time Seizure Detection Using EEG - Hyewon Jeong

Comprehensive comparison of state-of-art models for real-time seizure detection using EEG, evaluating performance metrics and exploring optimal feature extractors for practical clinical applications.

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

Domain Adaptation with Invariant Representation Learning - What Transformations to Learn?

Explore domain adaptation in machine learning, focusing on invariant representation learning and its challenges. Learn about novel techniques for optimal feature mapping across domains.

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

Assignment Control Plots for Causal Inference Study Design - Rocky Aikens

Explore visual tools for causal inference study design, focusing on assignment-control plots to analyze covariate distribution and improve observational and experimental studies.

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

Mandoline - Model Evaluation under Distribution Shift

Explores a novel framework for evaluating machine learning models under distribution shifts, using slice-based reweighting to improve performance estimation on target distributions.

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

Style Transfer Augmentations for Computational Pathology - Rikiya Yamashita

Innovative style transfer augmentation technique for improving machine learning model generalization in computational pathology, enhancing robustness to domain shifts and achieving state-of-the-art performance in classification tasks.

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

Extending the Theory of ML for Human-Centric Applications

Exploring ML challenges in real-world applications, focusing on data manipulation, multi-objective optimization, and robustness in dynamic environments with human-centric considerations.

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