YoVDO

DP-100 Part 2 - Modeling

Offered By: A Cloud Guru

Tags

DP-100: Designing and Implementing a Data Science Solution on Azure Courses Keras Courses PyTorch Courses scikit-learn Courses Feature Selection Courses Azure Machine Learning Courses Machine Learning Models Courses

Course Description

Overview

In this course, we focus on how to run experiments and train models in Azure Machine Learning. This course is part two of a three part series, focusing on preparation for the DP-100 exam.We examine how to: Create models using Azure Machine Learning designer Run training scripts in an Azure Machine Learning workspace Generate metrics from an experiment run Build a foundation using key algorithms, features, and machine learning models Use important tools such as PyTorch, Scikit-learn, Keras, and Chainer

Syllabus

  • Course Introduction
  • Azure Machine Learning Pipelines
  • Machine Learning Algorithm
  • Feature Selection
  • Classic Machine Learning Models
  • Run Training Scripts in an Azure Machine Learning Workspace
  • Generate Metrics from an Experiment Run
  • Conclusion

Taught by

Brian Roehm

Related Courses

Введение в машинное обучение
Higher School of Economics via Coursera Using Python for Research
Harvard University via edX Multiple Linear Regression with scikit-learn
Coursera Project Network via Coursera Predict Sales Revenue with scikit-learn
Coursera Project Network via Coursera Introducción a la Inteligencia Artificial: Principales Algoritmos
Galileo University via edX