33. Azure Cognitive Services
Azure Bot Service
Azure Cognitive Search
Azure Databricks
Azure Machine Learning
Azure AI Infrastructure
Knowledge miningAI apps & agents Machine learning
Azure AI
34. 機械学習の作業
1. 課題の特定
2. データの取得と加工
3. モデルの設計
4. モデルの学習5. モデルの
テストと評価 a. 初期化
b. データセットからミニバッチデータ取得
c. 損失(差分)を計算d. 最適化: 損失(差分)の最小化
e. 重みづけの更新
y =Wx + b
loss = |desired – actual outcome|δ
6. 展開と推論
35. トレーニング済みのモデル
ビジネスロジックにMLをアタッチ
Azure Databricks VMs
Deep Learning Framework
Deep Learning モデルの作成 TensorFlow KerasPytorch
Azure
Machine Learning
LanguageSpeech
…
SearchVision
On-premises Cloud Edge
生産性の高いサービス
データサイエンティストと開発チームの生産性を上げる
パワフルな Compute
Deep Learning の学習と推論の加速
柔軟な推論環境の選択肢
Cloud と Edge へのモデル展開と管理
Machine Learning on Azure
Chainer
44. 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
モデルの開発には、多くの 試行錯誤 が必要…
45. 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 BoostedMileage
Car brand
Year of make
Car brand
Year of make
Condition
46. 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
50. STORE &
EXPLORESensors and IoT
(unstructured)
Files (unstructured)
Media (unstructured)
Logs (unstructured)
Business/custom apps
(structured)
Power BIAzure Analysis
Services
Real-time Apps
Cosmos DB
INGEST PREP & TRAIN
MODEL & SERVE
STORE
Azure Data Lake Storage Gen2
SQL Data Warehouse
(Polybase)
Azure Databricks
Cosmos DB
Azure Data Explorer
Azure SQL
Data Warehouse
Azure Data Explorer
Azure Databricks
Azure Machine Learning
Azure Data Factory
Data Lake as “Product”
Sensors and IoT
(unstructured)
Azure IoT Hub Kafka