Sercan Ahi
2 SlideShares 41 Abonné 37 Suivis
Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Data Scientist
Secteur d’activité
Technology / Software / Internet
À propos
1. What do you do now? Increasing the efficiency of sales personnel by using web tech, machine learning and open source software. 2. What is your skillset? → Data analysis: {Customer purchase and churn modeling with R} → Machine learning: {Python, Spark} → Data engineering: {Bash, SQL, Hive, Presto} → Dashboard development: {Javascript, Flask} 3. Sounds like jack of all trades and master of none. Trying not to be one.
Coordonnées
Mots-clés
r feature selection data visualization
Tout plus

Présentations

(2)

10 Tips for Better Visualization of Scientific Data

il y a 11 ans • 1932 Vues

Feature Selection with R / in JP

il y a 10 ans • 100371 Vues

J’aime

(66)
Tout voir

MMM, Search!

Daniel Tunkelang • il y a 4 ans

B-tree & R-tree

Shakil Ahmed • il y a 11 ans

Holding Effective Data Meetings

Ben Weber • il y a 8 ans

Yes, you can git!

Carol Willing • il y a 7 ans

20170927 pydata tokyo データサイエンスな皆様に送る分散処理の基礎の基礎、そしてPySparkの勘所

Ryuji Tamagawa • il y a 6 ans

Data Science Without Borders (JupyterCon 2017)

Wes McKinney • il y a 6 ans

PyCon AU 2010 - Getting Started With Apache/mod_wsgi.

Graham Dumpleton • il y a 11 ans

Storytelling in 2014

Gary Vaynerchuk • il y a 10 ans

Brief introduction to Distributed Deep Learning

Adam Gibson • il y a 7 ans

Apache storm vs. Spark Streaming

P. Taylor Goetz • il y a 9 ans

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Databricks • il y a 9 ans

Next-generation Python Big Data Tools, powered by Apache Arrow

Wes McKinney • il y a 8 ans

Strata San Jose 2016: Deep Learning is eating your lunch -- and mine

Sri Ambati • il y a 8 ans

Strata 2016 - Lessons Learned from building real-life Machine Learning Systems

Xavier Amatriain • il y a 8 ans

Gentlest Introduction to Tensorflow

Khor SoonHin • il y a 8 ans

Music recommendations @ MLConf 2014

Erik Bernhardsson • il y a 10 ans

失敗から学ぶ データ分析グループの チームマネジメント変遷 （デブサミ2016） #devsumi

Tokoroten Nakayama • il y a 8 ans

Pythonによる機械学習の最前線

Kimikazu Kato • il y a 8 ans

2015-11-17 きちんと知りたいApache Spark ～機械学習とさまざまな機能群

Yu Ishikawa • il y a 8 ans

word2vec, LDA, and introducing a new hybrid algorithm: lda2vec

👋 Christopher Moody • il y a 8 ans

10 more lessons learned from building Machine Learning systems

Xavier Amatriain • il y a 8 ans

Deep C

Olve Maudal • il y a 12 ans

R言語で学ぶマーケティング分析 競争ポジショニング戦略

Yohei Sato • il y a 10 ans

Which Algorithms Really Matter

Ted Dunning • il y a 10 ans

An introduction to structural equation models in R using the Lavaan package

Noam Ross • il y a 8 ans

7 Habits of Breakthrough Entrepreneurs - Casual Connect 2015

Amy Jo Kim • il y a 8 ans

Tips for data science competitions

Owen Zhang • il y a 8 ans

Demystifying Japan: What Pitfalls And Chances Does The World's Biggest Mobile Game Market Market Offer? (Casual Connect Asia 2015)

Dr. Serkan Toto • il y a 8 ans

Sparkcamp @ Strata CA: Intro to Apache Spark with Hands-on Tutorials

Databricks • il y a 9 ans

PFI Seminar 2012/03/15 カーネルとハッシュの機械学習

Preferred Networks • il y a 12 ans
Personal Information
Entreprise/Lieu de travail
Within 23 wards, Tokyo, Japan Japan
Profession
Data Scientist
Secteur d’activité
Technology / Software / Internet
À propos
1. What do you do now? Increasing the efficiency of sales personnel by using web tech, machine learning and open source software. 2. What is your skillset? → Data analysis: {Customer purchase and churn modeling with R} → Machine learning: {Python, Spark} → Data engineering: {Bash, SQL, Hive, Presto} → Dashboard development: {Javascript, Flask} 3. Sounds like jack of all trades and master of none. Trying not to be one.
Mots-clés
r feature selection data visualization
Tout plus