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返回到 Microsoft Azure Machine Learning for Data Scientists

学生对 Microsoft 提供的 Microsoft Azure Machine Learning for Data Scientists 的评价和反馈

4.3
175 个评分

课程概述

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This is the second course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning....

热门审阅

NF

Feb 13, 2024

very easy to follow module...I love the hands-on practice with the Microsoft Azure Platform as well

MO

Jan 14, 2023

Great content with very helpful practical exercises

筛选依据:

26 - Microsoft Azure Machine Learning for Data Scientists 的 37 个评论(共 37 个)

创建者 Parag V S

Oct 7, 2022

Could have explained things in more detail.

创建者 David H

Sep 9, 2024

Directions are outdated

创建者 Gerardo E

Nov 3, 2023

Outdated material.

创建者 Louis V

Nov 17, 2024

Bit of redundancy

创建者 Khalid A

Aug 26, 2024

outdated

创建者 Joe L

May 2, 2024

Outdated course material, where the course instructions do not match the menus in Azure AI itself. Students stuck on running sample code don't receive help from any TA's to get them unstuck.

创建者 Scott C

May 15, 2024

The course material is out of date and needs to be refreshed with new screenshots, new descriptions of where to click and ensure the links to data are still valid.

创建者 Daniel M

Oct 17, 2023

The Educator for this course does not respond to urgent student queries. I can not deploy Azure-based models because I do not have a free Azure account despite the course guide clearly stating that we will be given free access to Azure without having to pay for it.

创建者 Eric M

Aug 21, 2025

This course is not maintained and it does not appear that course owners are monitoring feedback. There are broken links and some original content may not even be hosted at linked Microsoft GitHub site anymore (all exercises seem to be from there).

创建者 SUKHLEEN S

May 23, 2023

I am not able to open this course. When i try to open first video it shows we are under maintainence since from last weak. Please solve this issue as soon as possible.

创建者 Mark C

Jan 9, 2024

too many quiz errors and the lab environment is not integrated into this course

创建者 Colm W

Jun 15, 2024

some of the datasets are inaccessible. Needs updating