Model Selection Courses and Certifications

Getting Started with Mistral

Explore Mistral AI models, learn effective prompting, function calling, and RAG. Build a chat interface to leverage these powerful tools for various tasks from classification to advanced coding.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

MITCBMM

FMRI Bootcamp - Representational Similarity

Explore advanced fMRI analysis techniques, focusing on representational similarity and its applications in neuroimaging research.

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

Elvis Saravia

Selecting the Right Large Language Model - A Systematic Approach

Systematic framework for experimenting with and selecting the optimal LLM, considering factors like performance, cost, and specific use case requirements.

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

Claude 3 Model Selection

Claude.ai offers many model types. This course will teach you what differences exist between the models, and which model type is the best for a given task.

• Pluralsight
• 12 minutes
• On-Demand
• Free Trial Available

Google Gemini Model Selection

Google's Gemini, a groundbreaking family of large language models, offers immense potential for tackling diverse tasks using the power of AI.

• Pluralsight
• 23 minutes
• On-Demand
• Free Trial Available

AI Bites

Model Router: Choosing the Right AI Model Using NotDiamond API

Discover how to effectively select and implement AI models using NotDiamond's model routing API, comparing top models like GPT-4, Claude 3, and Gemini for optimal task-specific performance.

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

Regression Models

33 reviews

Explore linear and generalized regression models, covering least squares, multivariable analysis, diagnostics, and applications in data science. Learn to interpret results and select appropriate models.

• Coursera
• 54 hours
• On-Demand
• Free Online Course (Audit)

Statistical Learning with Python

14 ratings at edX

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Hypertuning and Cross-Validation

Master hyperparameter optimization techniques through grid search, random search, and cross-validation methods to enhance machine learning model performance and achieve optimal results.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Predictive Modeling

123 ratings at Coursera

Learn predictive modeling with linear regression and time series forecasting using Excel. Gain practical skills in data preparation, model fitting, interpretation, and forecasting for real-world decision-making.

• Coursera
• 12 hours 22 minutes
• On-Demand
• Free Online Course (Audit)

Generative AI and Model Selection

Explore generative AI model selection, deployment options, and performance optimization. Master evaluation techniques and troubleshooting strategies for effective AI implementation in real-world projects.

• Coursera
• 3 hours 12 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistical Learning for Data Science

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 17 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Population Health: Predictive Analytics

24 ratings at Coursera

Learn to develop and assess accurate prediction models for healthcare decision-making, covering study design, modeling techniques, and validation methods to improve preventive measures and individualized treatments.

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

Introduction to PySpark

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Time Series Analysis in Python

2653 ratings at Udemy

Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting

• Udemy
• 7 hours 21 minutes
• On-Demand
• Paid Course