Home Page Icon
Home Page
Table of Contents for
Part I. Getting Started
Close
Part I. Getting Started
by Leila Etaati
Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project
Cover
Front Matter
Part I. Getting Started
1. Introduction to Machine Learning
2. Introduction to R
3. Introduction to Python
4. R Visualization in Power BI
Part II. Machine Learning with R and Power BI
5. Business Understanding
6. Data Wrangling for Predictive Analysis
7. Predictive Analysis in Power Query with R
8. Descriptive Analysis in Power Query with R
Part III. Machine Learning SQL Server
9. Using R with SQL Server 2016 and 2017
10. Azure Databricks
Part IV. Machine Learning in Azure
11. R in Azure Data Lake
12. Azure Machine Learning Studio
13. Machine Learning in Azure Stream Analytics
14. Azure Machine Learning (ML) Workbench
15. Machine Learning on HDInsight
16. Data Science Virtual Machine and AI Frameworks
17. Deep Learning Tools with Cognitive Toolkit (CNTK)
Part V. Data Science Virtual Machine
18. Cognitive Services Toolkit
19. Bot Framework
20. Overview of Microsoft Machine Learning Tools
Back Matter
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Prev
Previous Chapter
Front Matter
Next
Next Chapter
1. Introduction to Machine Learning
Part I
Getting Started
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset