Welcome to download



Do not remember me!

 
We have Tested and found Below Host Trustable, Please Buy Premium account From Below Host.
UploadGIG.com nitroflare.com
Note: Do not Buy Premium account from Reseller

Latest Comments

    No comments
» » » Creating & Deploying Microsoft Azure Machine Learning Studio Solutions

Creating & Deploying Microsoft Azure Machine Learning Studio Solutions

Creating & Deploying Microsoft Azure Machine Learning Studio Solutions

Video: .MP4, AVC, 1280x720, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 2h 56m | 428 MB
Instructor: Shawn Hainsworth
This course will provide an introduction to the power, flexibility and scalability of Azure Machine Learning. You will learn to implement the data science process, to prepare data and integrate data sources for use in machine learning experiments.
Machine Learning and Data Science is an exciting, fast growing field which will provide you with the tools to gain deeper insights from your data. In this course, Creating & Deploying Microsoft Azure Machine Learning Studio Solutions, you'll be Creating & Deploying Microsoft Azure Machine Learning Studio Solutions. First, you'll explore data import, cleansing, and transformation. Next, you'll discover training, evaluating and refining Machine Learning Models. Finally, you'll learn how to deploy and consume Predictive Web Services. When you're finished with this course, you'll know how to create data science experiments using a variety of machine learning algorithms using both a visual user interface and code first using Jupyter notebooks and Visual Studio Code.
Creating & Deploying Microsoft Azure Machine Learning Studio Solutions

Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable
UploadGIG.com

Please login or register

Dear visitor, you are browsing our website as Guest. We strongly recommend you to register and login to view hidden contents.

Comments (0)

Leave Comment

Name:*
E-Mail:
Security Code: *
Click on the image to refresh the code if it cannot be viewed