Главная
Study mode:
on
1
Intro
2
Who am I
3
Outline
4
Good Data Science
5
Machine Learning
6
Predict Customer Profitability
7
Data Scientist
8
Challenges
9
Azure Machine Learning
10
How does it work
11
Creating a workspace
12
Moving forward
13
Demo
14
Adventureworks
15
Preparing Data
16
Creating Experiments
17
Developing Models
18
Uploading Data
19
Data Visualization
20
Column Selector
21
Algorithms
22
Training and Testing
23
Confusion Matrix
24
Publishing
25
Prediction
26
Deployment
27
Integration Demo
Description:
Discover machine learning fundamentals and learn how to leverage cloud-based predictive models with Azure Machine Learning in this thrilling conference talk. Explore the potential of machine learning for software developers and gain insights into its practical implementation. Delve into topics such as good data science practices, predicting customer profitability, and overcoming data scientist challenges. Follow along as the speaker demonstrates creating a workspace, preparing data, developing models, and deploying experiments using Azure Machine Learning. Witness real-world applications through integration demos and learn how to visualize data, select appropriate algorithms, and evaluate model performance using confusion matrices. Equip yourself with the knowledge to take your first steps into the exciting world of cloud-based machine learning.

Azure Machine Learning for the Developer

NDC Conferences
Add to list