Model Evaluation Courses and Certifications

Machine Learning With Big Data

14 reviews

Explore, analyze, and leverage big data using machine learning techniques. Learn to design approaches, prepare data, construct models, and scale solutions using open-source tools and Spark.

• Coursera
• 20 hours 6 minutes
• On-Demand
• Free Online Course (Audit)

AI in Healthcare Capstone

219 ratings at Coursera

Explore AI applications in healthcare through a patient's journey, analyzing data, building risk-stratification models, and addressing ethical and regulatory issues in medical data mining.

• Coursera
• 10 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Beyond Testset Performance - Strategies for Clinical Deployment

Strategies for deploying AI in clinical settings, addressing challenges beyond test performance. Explores model reliability, distribution shifts, and human-AI collaboration for real-world medical applications.

• YouTube
• 55 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Stanford Seminar - Designing Culturally-Relevant Educational Technology at a Global Scale

Explore designing culturally-relevant educational technology globally, covering personalization, virtual agents, social robots, and context-sensitive design for diverse learning environments.

• YouTube
• 53 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Human-AI Interaction Under Societal Disagreement

Explores Jury Learning, an interactive AI architecture enabling developers to consider diverse perspectives in machine learning, addressing societal disagreements in AI decision-making processes.

• YouTube
• 53 minutes
• On-Demand
• Free Video

How Can You Trust Machine Learning?

Explore a framework for trustworthy AI based on Clarity, Competence, and Alignment. Learn about explainable ML, rigorous model evaluation, and aligning AI behaviors with human values.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Evaluation of Generative Models - Stanford CS236 Deep Generative Models Lecture 15

Explore evaluation methods for deep generative models, including metrics and techniques to assess model performance, quality, and effectiveness in various applications.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Infectious Disease Transmission Models for Decision-Makers

575 ratings at Coursera

Explore infectious disease transmission models, their types, assessment, and role in public health policy decisions. Gain insights for informed decision-making during outbreaks.

• Coursera
• 3 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Machine Learning with caret

Master machine learning fundamentals using R's caret package, covering data preprocessing, model training, evaluation, and cross-validation through hands-on practice with real datasets like iris.

• CodeSignal
• On-Demand
• Free Certificate

Practical Machine Learning with the mtcars Dataset in R

Master practical machine learning in R through hands-on projects with mtcars dataset, covering preprocessing, model building, evaluation, visualization, and cross-validation techniques.

• CodeSignal
• On-Demand
• Free Certificate

Training Your First Machine Learning Model from Scratch

Master linear regression fundamentals by building a model from scratch using scikit-learn, covering data preparation, training, evaluation, and real-world applications with California housing data.

• CodeSignal
• On-Demand
• Free Certificate

Cracking Classification

Master essential classification algorithms including logistic regression, decision trees, KNN, Naive Bayes, and SVM. Learn to evaluate model performance and apply techniques to real-world datasets.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Predictive Modeling

Gain insights into predictive modeling fundamentals using real estate data, linear regression techniques, and model evaluation methods to make data-driven decisions.

• CodeSignal
• On-Demand
• Free Certificate

Building a Neural Network in TensorFlow

Master TensorFlow fundamentals and build neural networks through hands-on coding. Create, train, and evaluate models for binary classification while learning essential concepts like layers, activation functions, and predictions.

• CodeSignal
• On-Demand
• Free Certificate