Upgrade to PRO for Only $50/Year—Limited-Time Offer! 🔥
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
500
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
740
Microsoft Azure Machine Learning Studio
cihanyakar
0
1.2k
IntelliCode
cihanyakar
0
480
Microsoft ML.net ile Segmentasyon Çalışması
cihanyakar
0
520
Xamarin ❤ ML.net
cihanyakar
1
580
.NET CORE 2.2 & .NET CORE 3.
cihanyakar
0
670
Visual Studio 2019
cihanyakar
0
600
Geldiğim Nokta: XAMARIN & OYUN
cihanyakar
0
85
Visual Studio ve Takım Çalışması
cihanyakar
0
370
Other Decks in Programming
See All in Programming
JETLS.jl ─ A New Language Server for Julia
abap34
2
440
Rubyで鍛える仕組み化プロヂュース力
muryoimpl
0
160
組み合わせ爆発にのまれない - 責務分割 x テスト
halhorn
1
160
Claude Codeの「Compacting Conversation」を体感50%減! CLAUDE.md + 8 Skills で挑むコンテキスト管理術
kmurahama
1
630
AI前提で考えるiOSアプリのモダナイズ設計
yuukiw00w
0
180
Tinkerbellから学ぶ、Podで DHCPをリッスンする手法
tomokon
0
140
Jetpack XR SDKから紐解くAndroid XR開発と技術選定のヒント / about-androidxr-and-jetpack-xr-sdk
drumath2237
1
190
実はマルチモーダルだった。ブラウザの組み込みAI🧠でWebの未来を感じてみよう #jsfes #gemini
n0bisuke2
3
1.3k
Vibe codingでおすすめの言語と開発手法
uyuki234
0
110
DevFest Android in Korea 2025 - 개발자 커뮤니티를 통해 얻는 가치
wisemuji
0
170
AIコーディングエージェント(Manus)
kondai24
0
210
tsgolintはいかにしてtypescript-goの非公開APIを呼び出しているのか
syumai
7
2.3k
Featured
See All Featured
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
100
Evolving SEO for Evolving Search Engines
ryanjones
0
73
Information Architects: The Missing Link in Design Systems
soysaucechin
0
710
Paper Plane (Part 1)
katiecoart
PRO
0
1.9k
From π to Pie charts
rasagy
0
90
Typedesign – Prime Four
hannesfritz
42
2.9k
Building the Perfect Custom Keyboard
takai
1
660
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
0
22
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
400
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
34
2.6k
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