7. Azure
Machine Learning
Develop Your Own Model
20
https://docs.microsoft.com/ja-jp/azure/architecture/data-guide/technology-choices/data-science-and-machine-learning
https://medium.com/microsoftazure/9-advanced-tips-for-production-machine-learning-6bbdebf49a6f
Use Pre-trained Model
80
Azure
Cognitive Services
12. Mileage
Condition
Car brand
Year of make
Regulations
…
Parameter 1
Parameter 2
Parameter 3
Parameter 4
…
Gradient Boosted
Nearest Neighbors
SVM
Bayesian Regression
LGBM
…
Mileage Gradient Boosted Criterion
Loss
Min Samples Split
Min Samples Leaf
Others Model
Which algorithm? Which parameters?
Which features?
Car brand
Year of make
試行錯誤
13. Criterion
Loss
Min Samples Split
Min Samples Leaf
Others
N Neighbors
Weights
Metric
P
Others
Which algorithm? Which parameters?
Which features?
Mileage
Condition
Car brand
Year of make
Regulations
…
Gradient Boosted
Nearest Neighbors
SVM
Bayesian Regression
LGBM
…
Nearest Neighbors
Model
繰り返し
Gradient Boosted
Mileage
Car brand
Year of make
Car brand
Year of make
Condition
14. Mileage
Condition
Car brand
Year of make
Regulations
…
Gradient Boosted
Nearest Neighbors
SVM
Bayesian Regression
LGBM
…
Gradient Boosted
SVM
Bayesian Regression
LGBM
Nearest Neighbors
Which algorithm? Which parameters?
Which features?
繰り返し
Regulations
Condition
Mileage
Car brand
Year of make
39. • Learn more about our approach at https://www.microsoft.com/AI/our-approach-to-ai
• Download The Future Computed at aka.ms/Futurecomputed
• Check the Responsible AI section at aischool.microsoft.com
• Get started with homomorphic encryption at ailab.microsoft.com
• Get started with InterpretML at github.com/Microsoft/interpret
59. • AI や 機械学習の最新の
トレーニング
• 概要・基礎・チュートリアル
• 自分に適した、トレーニングコースの作成
• AI Business School
• Conversational AI
• AI Services
• Machine Learning
• Autonomous System
• Responsible AI
aischool.microsoft.com