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
480
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
710
Microsoft Azure Machine Learning Studio
cihanyakar
0
1.2k
IntelliCode
cihanyakar
0
470
Microsoft ML.net ile Segmentasyon Çalışması
cihanyakar
0
500
Xamarin ❤ ML.net
cihanyakar
1
560
.NET CORE 2.2 & .NET CORE 3.
cihanyakar
0
650
Visual Studio 2019
cihanyakar
0
580
Geldiğim Nokta: XAMARIN & OYUN
cihanyakar
0
83
Visual Studio ve Takım Çalışması
cihanyakar
0
350
Other Decks in Programming
See All in Programming
WindowInsetsだってテストしたい
ryunen344
1
200
設計やレビューに悩んでいるPHPerに贈る、クリーンなオブジェクト設計の指針たち
panda_program
6
1.7k
Discover Metal 4
rei315
2
100
都市をデータで見るってこういうこと PLATEAU属性情報入門
nokonoko1203
1
580
A2A プロトコルを試してみる
azukiazusa1
2
1.3k
ruby.wasmで多人数リアルタイム通信ゲームを作ろう
lnit
2
320
Benchmark
sysong
0
280
DroidKnights 2025 - 다양한 스크롤 뷰에서의 영상 재생
gaeun5744
3
330
Modern Angular with Signals and Signal Store:New Rules for Your Architecture @enterJS Advanced Angular Day 2025
manfredsteyer
PRO
0
160
#kanrk08 / 公開版 PicoRubyとマイコンでの自作トレーニング計測装置を用いたワークアウトの理想と現実
bash0c7
1
640
データの民主化を支える、透明性のあるデータ利活用への挑戦 2025-06-25 Database Engineering Meetup#7
y_ken
0
330
5つのアンチパターンから学ぶLT設計
narihara
1
130
Featured
See All Featured
Done Done
chrislema
184
16k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
107
19k
Testing 201, or: Great Expectations
jmmastey
42
7.5k
Being A Developer After 40
akosma
90
590k
Java REST API Framework Comparison - PWX 2021
mraible
31
8.7k
How to Think Like a Performance Engineer
csswizardry
24
1.7k
Git: the NoSQL Database
bkeepers
PRO
430
65k
A Tale of Four Properties
chriscoyier
160
23k
Why You Should Never Use an ORM
jnunemaker
PRO
58
9.4k
Product Roadmaps are Hard
iamctodd
PRO
54
11k
Rails Girls Zürich Keynote
gr2m
94
14k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
10
940
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