Showing 17029–17040 of 18767 results
Train and understand regression models in machine learning
Regression is arguably the most widely used machine learning technique, commonly underlying scientific discoveries, business planning, and stock market analytics. This learning material takes a dive into some common regression analyses, both simple and more complex, and provides some insight on how to assess model performance.
Train compute-intensive models with Azure Machine Learning
Train compute-intensive models with GPU compute in Azure Machine Learning. By monitoring workloads, you can find the optimal compute configuration. Distributed training allows you to train on multiple nodes to speed up training time.
Train compute-intensive models with Azure Machine Learning
Large-scale machine-learning and deep-learning models require ample compute power. Learn when to choose GPU compute, and how different frameworks help you to make optimal use of GPU compute during preprocessing, model training, and deployment.
Train deep learning models in Azure Databricks
Deep learning uses neural networks to train highly effective machine learning models for complex forecasting, computer vision, natural language processing, and other AI workloads.
Train models in Azure Machine Learning with the CLI (v2)
The Azure Machine Learning CLI (v2) is an Azure CLI extension that you can use to train and deploy machine learning models. Learn how to use the CLI (v2) to create Azure Machine Learning workspace assets to use for model training and deployment.
Train models with scripts in Azure Machine Learning
To prepare your machine learning workloads for production, you'll work with scripts. Learn how to train models with scripts in Azure Machine Learning.
Train-The-Trainer
Create and deliver engaging workshops in this course.
Training Employees for the NuWave of Technology to Retain Employees in 2020
Learn how NuWave utilized Pluralsight channels to bundle courses into a curriculum and provide not just training but also certifications in technologies such as Data Science, Big Data, Machine Learning and ETL.
Training the IT Security Staff on a Shoestring Budget
BSides Huntsville | Training the IT Security Staff on a Shoestring Budget | Steven Kirby
Transactions and Error Handling in PostgreSQL
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Transactions and Error Handling in SQL Server
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
Transfer and transform data with Azure Synapse Analytics pipelines
Azure Synapse Analytics enables data integration through the use of pipelines, which you can use to automate and orchestrate data transfer and transformation activities.