Главная
Study mode:
on
1
Introduction
2
Datadriven decision making
3
Predictive analytics
4
What is machine learning
5
Types of machine learning
6
Azure ML
7
Our
8
Azure ML Algorithm Cheat Sheet
9
Integration
10
Data Factory
11
Azure Machine Learning
12
Experiment
13
Data Visualization
14
Partition and Sampling
15
Transformation
16
Data Preparation
17
Model Evaluation
18
Model Visualization
19
Results
20
Model
21
Improve Your Results
22
Summary
23
Questions
24
Microsoft Azure Machine Learning Studio
Description:
Explore the power of Azure Machine Learning in this 55-minute conference talk from PASS Data Community Summit. Discover how to leverage existing data to answer critical business questions through advanced analytics. Learn to classify data for machine learning analysis, select appropriate ML models, and integrate custom analysis methods. Gain insights into expanding ML capabilities by incorporating R code and SQL scripts. Follow the journey from data preparation to model deployment within a Data Factory pipeline, and understand how to integrate results back into Azure SQL Server databases. Master the art of data-driven decision making, predictive analytics, and various machine learning types while utilizing Azure ML's Algorithm Cheat Sheet. Dive into practical demonstrations of data visualization, partitioning, sampling, and model evaluation techniques. Acquire the skills to improve your ML results and unlock new opportunities for data analysis using Azure Machine Learning Studio.

Improving Data Analytics with Azure Machine Learning

PASS Data Community Summit
Add to list