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
460
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
680
Microsoft Azure Machine Learning Studio
cihanyakar
0
1.1k
IntelliCode
cihanyakar
0
450
Microsoft ML.net ile Segmentasyon Çalışması
cihanyakar
0
480
Xamarin ❤ ML.net
cihanyakar
1
540
.NET CORE 2.2 & .NET CORE 3.
cihanyakar
0
630
Visual Studio 2019
cihanyakar
0
560
Geldiğim Nokta: XAMARIN & OYUN
cihanyakar
0
77
Visual Studio ve Takım Çalışması
cihanyakar
0
340
Other Decks in Programming
See All in Programming
SwiftUI移行のためのインプレッショントラッキング基盤の構築
kokihirokawa
0
150
ML.NETで始める機械学習
ymd65536
0
230
複数のAWSアカウントから横断で 利用する Lambda Authorizer の作り方
tc3jp
0
120
dbt Pythonモデルで実現するSnowflake活用術
trsnium
0
260
Boos Performance and Developer Productivity with Jakarta EE 11
ivargrimstad
0
420
Jakarta EE meets AI
ivargrimstad
0
480
Ça bouge du côté des animations CSS !
goetter
2
150
第3回関東Kaggler会_AtCoderはKaggleの役に立つ
chettub
3
1.2k
Learning Kotlin with detekt
inouehi
1
140
データの整合性を保つ非同期処理アーキテクチャパターン / Async Architecture Patterns
mokuo
55
19k
お前もAI鬼にならないか?👹Bolt & Cursor & Supabase & Vercelで人間をやめるぞ、ジョジョー!👺
taishiyade
7
4.2k
もう少しテストを書きたいんじゃ〜 #phpstudy
o0h
PRO
18
4.1k
Featured
See All Featured
Become a Pro
speakerdeck
PRO
26
5.2k
The Language of Interfaces
destraynor
156
24k
Fontdeck: Realign not Redesign
paulrobertlloyd
83
5.4k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
49
2.3k
GitHub's CSS Performance
jonrohan
1030
460k
Embracing the Ebb and Flow
colly
84
4.6k
Building a Scalable Design System with Sketch
lauravandoore
461
33k
Thoughts on Productivity
jonyablonski
69
4.5k
Product Roadmaps are Hard
iamctodd
PRO
50
11k
Making Projects Easy
brettharned
116
6k
Why Our Code Smells
bkeepers
PRO
336
57k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
226
22k
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