Explore all library
1 to 12 of 12 results
Search results 1 - 12 of 12Category: Models
- LEARNING PATHCalculated Systems
The Basics of Data Management, Data Manipulation and Data ModellingBeginnerDuration: Up to 12 hours and 2 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: Learning the basics of how to work with data with data sources, formats, databases, and SQL.; Duration: Up to 12 hours and 2 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs - HANDS-ON LABLogan Rakai
Using SageMaker Notebooks to Train and Deploy Machine Learning ModelsIntermediateDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated SystemsMachine Learning - Training Custom ModelsBeginnerDuration: Up to 3 hoursAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to understand how to train custom models.; Duration: Up to 3 hours; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps
- HANDS-ON LABLuke Orellana
Creating a Classification Model with AutoML in Azure Machine Learning StudioBeginnerDuration: Up to 2 hours and 30 minutesAuthor: Luke Orellana; Difficulty: Beginner; Description: In this lab, use Azure's Automated Machine Learning service to quickly develop production-ready models with minimal time and effort.; Duration: Up to 2 hours and 30 minutes; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps - COURSEDaniel Mease
Building a Machine Learning ModelIntermediateDuration: 56 minutes and 34 secondsAuthor: Daniel Mease; Difficulty: Intermediate; Duration: 56 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 11 Lectures - LEARNING PATHAndrew Larkin
Start Modelling Data with Amazon SageMakerIntermediateDuration: Up to 5 hours and 59 minutesAuthor: Andrew Larkin; Difficulty: Intermediate; Description: Start manipulating and modelling data with Amazon SageMaker; Duration: Up to 5 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs - LEARNING PATHCalculated SystemsGetting Started with Machine Learning ModelsIntermediateDuration: Up to 7 hours and 17 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 7 hours and 17 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs
- COURSEBen Lambert
Introduction To Large Language ModelsBeginnerDuration: 25 minutes and 32 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 25 minutes and 32 seconds; Content Topics: Data Modeling; This course has: 4 Lectures - HANDS-ON LABCalculated SystemsEvaluating Model Predictions for Regression ModelsIntermediateDuration: Up to 43 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- HANDS-ON LABCalculated SystemsEvaluating Binary Classification ModelsIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- HANDS-ON LABCalculated SystemsTesting Your Models in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- LEARNING PATHQA Learning
Onsite Search EssentialsBeginnerDuration: Up to 45 minutesAuthor: QA Learning; Difficulty: Beginner; Description: An overview of how and why search algorithms prioritize organic product listings, and how to encourage effective data sharing with retail partners.; Duration: Up to 45 minutes; This learning path has: 3 Courses, 2 Exams