Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Microsoft ML.NET
Search
Cihan Yakar
February 19, 2019
Programming
0
410
Microsoft ML.NET
ML.NET 0.10 sürümü ile bir sınıflandırma örneği anlatılmıştır.
Cihan Yakar
February 19, 2019
Tweet
Share
More Decks by Cihan Yakar
See All by Cihan Yakar
Auto ML
cihanyakar
0
630
Microsoft Azure Machine Learning Studio
cihanyakar
0
1.1k
IntelliCode
cihanyakar
0
380
Microsoft ML.net ile Segmentasyon Çalışması
cihanyakar
0
410
Xamarin ❤ ML.net
cihanyakar
1
470
.NET CORE 2.2 & .NET CORE 3.
cihanyakar
0
580
Visual Studio 2019
cihanyakar
0
510
Geldiğim Nokta: XAMARIN & OYUN
cihanyakar
0
65
Visual Studio ve Takım Çalışması
cihanyakar
0
300
Other Decks in Programming
See All in Programming
入門 AWS Amplify Gen2 / Introduction to AWS Amplify Gen2
genkiogasawara
1
330
スキーマ駆動開発による品質とスピードの両立 - 私達は何故、スキーマを書くのか
kentaroutakeda
0
170
VSCodeでのDatabricks開発もお勧めしたい/I would also recommend Databricks development with VSCode.
kazumain
0
250
AWS CDKコントリビュートTIPS / aws-cdk-contribution-tips
gotok365
2
120
Komplexe Oberflächen mit SVG und der Web Animation API
joergneumann
0
670
MetricKitで予期せぬ終了を検知する話 / Detect unexpected termination with MetricKit
nekowen
1
180
サイコロで理解する統計的仮説検定の考え方
tatamiya
4
920
Prepare for Jakarta EE 11 - Performance and Developer Productivity
ivargrimstad
0
730
HUIT新歓2024「競技プログラミング、やってみませんか?」
slephy2784
1
270
코틀린으로 멀티플랫폼 만들기
pangmoo
0
150
Blue/Greenデプロイの導入による 運用フローの改善
kudoas
1
370
Compose-View Interop in Practice (mDevCamp 2024)
stewemetal
0
120
Featured
See All Featured
Design by the Numbers
sachag
274
18k
10 Git Anti Patterns You Should be Aware of
lemiorhan
648
58k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
25
2.3k
StorybookのUI Testing Handbookを読んだ
zakiyama
13
4.6k
Documentation Writing (for coders)
carmenintech
60
3.9k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
322
20k
Git: the NoSQL Database
bkeepers
PRO
422
63k
Art, The Web, and Tiny UX
lynnandtonic
289
19k
Fashionably flexible responsive web design (full day workshop)
malarkey
398
65k
Java REST API Framework Comparison - PWX 2021
mraible
PRO
18
6.9k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
30
6k
KATA
mclloyd
15
12k
Transcript
MICROSOFT ML.NET Cihan YAKAR
[email protected]
MAKINE ÖĞRENMESI public static int PredictQuality(Wine wine) { return (int)(wine.CitricAcid
* 0.7 + wine.Alcohol * 0.2 + wine.CitricAcid * 0.5); }
MAKINE ÖĞRENMESI public static int PredictQuality(Wine wine) { return ***
ML *** }
MAKINE ÖĞRENMESI
SINIFLANDIRMA public static Hayvan HangiHayvan(Picture x) { return Hayvan.Kurbaga; }
DEMETLEME / KÜMELEME public static Hayvan[][] Demetle(Hayvan[] hayvanat, int num)
{ }
REGRESYON public static float Sicaklik(DateTime tarih) { return 45; }
İLK DEĞİL • Machine Learning Server 9.3, • Azure Machine
Learning Service, • Azure Machine Learning Studio, • Azure Databricks (Spark-based analytics platform), • SQL Server Machine Learning Services, • Azure Cognitive Service, • Azure Data Science Virtual Machine, • Windows ML.
ML.NET Load Data IDataView Transform Data ITransformer Choose Algorithm IEstimator
Train Model Evaluate Model PredictionEngine Deploy Model
DEMO – VERİYİ İNCELEYELİM
DEMO – VERİYİ İNCELEYELİM
DEMO – VERİYİ İNCELEYELİM
DEMO – VERİYİ İNCELEYELİM
DEMO – VERİYİ İNCELEYELİM 0 100 200 300 400 500
600 700 800 3 4 5 6 7 8 Kalitelerin Dağılımı
DEMO – VERİYİ İNCELEYELİM 0 100 200 300 400 500
600 700 800 3 4 5 6 7 8 Kalitelerin Dağılımı
DEMO – KODA GEÇELİM
TEŞEKKÜRLER WWW.TEKNOLOT.COM