Sercan Ahi
2 SlideShares 41 Followers 37 Followings
Personal Information
Organization / Workplace
Within 23 wards, Tokyo, Japan Japan
Occupation
Data Scientist
Industry
Technology / Software / Internet
About
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.
Contact Details
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r feature selection data visualization
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Presentations

(2)

10 Tips for Better Visualization of Scientific Data

11 years ago • 1932 Views

Feature Selection with R / in JP

10 years ago • 100348 Views

Likes

(66)
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MMM, Search!

Daniel Tunkelang • 3 years ago

B-tree & R-tree

Shakil Ahmed • 11 years ago

Holding Effective Data Meetings

Ben Weber • 8 years ago

Yes, you can git!

Carol Willing • 7 years ago

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 • 6 years ago

Data Science Without Borders (JupyterCon 2017)

Wes McKinney • 6 years ago

PyCon AU 2010 - Getting Started With Apache/mod_wsgi.

Graham Dumpleton • 11 years ago

Storytelling in 2014

Gary Vaynerchuk • 10 years ago

Brief introduction to Distributed Deep Learning

Adam Gibson • 7 years ago

Apache storm vs. Spark Streaming

P. Taylor Goetz • 9 years ago

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

Databricks • 9 years ago

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

Wes McKinney • 8 years ago

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

Sri Ambati • 8 years ago

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

Xavier Amatriain • 8 years ago

Gentlest Introduction to Tensorflow

Khor SoonHin • 8 years ago

Music recommendations @ MLConf 2014

Erik Bernhardsson • 10 years ago

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 • 8 years ago

Pythonによる機械学習の最前線

Kimikazu Kato • 8 years ago

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 • 8 years ago

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

👋 Christopher Moody • 8 years ago

10 more lessons learned from building Machine Learning systems

Xavier Amatriain • 8 years ago

Deep C

Olve Maudal • 12 years ago

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 • 10 years ago

Which Algorithms Really Matter

Ted Dunning • 10 years ago

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

Noam Ross • 8 years ago

7 Habits of Breakthrough Entrepreneurs - Casual Connect 2015

Amy Jo Kim • 8 years ago

Tips for data science competitions

Owen Zhang • 8 years ago

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

Dr. Serkan Toto • 8 years ago

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

Databricks • 9 years ago

PFI Seminar 2012/03/15 カーネルとハッシュの機械学習

Preferred Networks • 12 years ago
Personal Information
Organization / Workplace
Within 23 wards, Tokyo, Japan Japan
Occupation
Data Scientist
Industry
Technology / Software / Internet
About
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.
Tags
r feature selection data visualization
See more