Create ML - Categorization and Quantity Estimation

1. “Any kid can do it. “ 👧👦 Create ML 🤖 Hanawa Takuro LIFULL Co., Ltd.

2. $Hanawa Takuro facebook.com/takuro.hanawa 🏢LIFULL Co.,Ltd. iOS Engineer / WWDC 🤵🌹Bachelor Japan

3. 😟

4. Categorization and Quantity Estimation 📝📈 “ ”

5. Agenda • Preparing the data set 📊 • Start training 🤖 • Export model 🖨 • Demo 💪

6. Preparing the data set 📝 • MLDataTable: • MLDataColumn:   MLDataValueConvertible   (Array, Dictionary ) • MLDataValue:   Int, Double, String, …

7. Preparing the data set 📝 • CSV JSON

8. Preparing the data set 📝 • 🚢 • pclass: 🎟  (1: , 2: , 3: ) • sex: 👫 • age: ⌛ • survived: 💀 (0: , 1: ) https://github.com/Geoyi/Cleaning-Titanic-Data

9. Preparing the data set 📝

10. Start training 🤖

11. Start training 🤖 • CSV MLDataTable • • MLRegressor( )

12. Start training 🤖 • MLDataTable MLDataValueConvertible 😡

13. Start training 🤖 • • Iteration: ( ) • Elapsed Time: • Training/Validation-max_error: / • Training/Validation-rmse: / 🤔

14. Start training 🤖 • MLRegressor MLRegressorMetrics Training/Validation > Training Accuracy: 66.47823164748654

15. 🤗 /

16. Export model 🖨

17. Start training 🤖 • MLRegressor write(to:metadata:) MLModel • playgroundSharedDataDirectory Documents ”Shared Playground Data”

18. Export model 🖨

19. ❌ ❌❌ 😂

20. Demo 💪 Qiita: Create ML https://qiita.com/hanawat/items/63176648a52b5e0b985b Qiita: What’s New in Swift4.2 https://qiita.com/hanawat/items/4605f9e357c8794b58d7

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