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
450
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
670
Microsoft Azure Machine Learning Studio
cihanyakar
0
1.1k
IntelliCode
cihanyakar
0
440
Microsoft ML.net ile Segmentasyon Çalışması
cihanyakar
0
480
Xamarin ❤ ML.net
cihanyakar
1
540
.NET CORE 2.2 & .NET CORE 3.
cihanyakar
0
620
Visual Studio 2019
cihanyakar
0
560
Geldiğim Nokta: XAMARIN & OYUN
cihanyakar
0
73
Visual Studio ve Takım Çalışması
cihanyakar
0
330
Other Decks in Programming
See All in Programming
オニオンアーキテクチャを使って、 Unityと.NETでコードを共有する
soi013
0
370
“あなた” の開発を支援する AI エージェント Bedrock Engineer / introducing-bedrock-engineer
gawa
4
420
PHPカンファレンス 2024|共創を加速するための若手の技術挑戦
weddingpark
0
140
良いユニットテストを書こう
mototakatsu
11
3.6k
Simple組み合わせ村から大都会Railsにやってきた俺は / Coming to Rails from the Simple
moznion
3
2.2k
Асинхронность неизбежна: как мы проектировали сервис уведомлений
lamodatech
0
1.4k
カンファレンス動画鑑賞会のススメ / Osaka.swift #1
hironytic
0
180
functionalなアプローチで動的要素を排除する
ryopeko
1
220
AWS re:Invent 2024個人的まとめ
satoshi256kbyte
0
110
AHC041解説
terryu16
0
410
[JAWS-UG横浜 #80] うわっ…今年のServerless アップデート、少なすぎ…?
maroon1st
0
110
watsonx.ai Dojo #6 継続的なAIアプリ開発と展開
oniak3ibm
PRO
0
170
Featured
See All Featured
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
30
2.1k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Navigating Team Friction
lara
183
15k
Side Projects
sachag
452
42k
Raft: Consensus for Rubyists
vanstee
137
6.7k
The Invisible Side of Design
smashingmag
299
50k
ReactJS: Keep Simple. Everything can be a component!
pedronauck
666
120k
Fireside Chat
paigeccino
34
3.1k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
Thoughts on Productivity
jonyablonski
68
4.4k
Become a Pro
speakerdeck
PRO
26
5.1k
Building Applications with DynamoDB
mza
93
6.2k
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