IlHo Ahn
1 SlideShare 11 Followers 46 Followings
Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Data Engineer
Industry
Technology / Software / Internet
Website
https://github.com/soleaf
About
Hello! I'm data engineer and backend server program developer. Please visit my Github, If you interesting at my open source working. (https://github.com/soleaf) Also I have been writing articles for ML and bigdata techs. Check my blog 'Trying ML'. (https://flonelin.wordpress.com)
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java activemq mongoldb logging log4j
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Presentations

(1)

ErRabbit

8 years ago • 480 Views

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Simple does it

Cheng-You Lu • 5 years ago

게임밸런싱과 머신러닝, 활용사례 & Tensorflow

현철 허 • 7 years ago

Variational inference intro. (korean ver.)

Kiho Hong • 7 years ago

Amazon EMR Deep Dive & Best Practices

Amazon Web Services • 7 years ago

행복한 개발을 위한_테스트_케이스

도형 임 • 11 years ago

TDD: Test Driven Development 첫번째 이야기

Ji Heon Kim • 8 years ago

Spark streaming: Best Practices

Prakash Chockalingam • 7 years ago

지금 핫한 Real-time In-memory Stream Processing 이야기

Ted Won • 9 years ago

[NDC2017] 딥러닝으로 게임 콘텐츠 제작하기 - VAE를 이용한 콘텐츠 생성 기법 연구 사례

Hwanhee Kim • 7 years ago

AWS를 활용하여 Daily Report 만들기 : 로그 수집부터 자동화된 분석까지

Changje Jeong • 9 years ago

좌충우돌 조지아텍 석사(Mooc) 준비 이야기

Hakhyun Kim • 10 years ago

Data Science - Part XII - Ridge Regression, LASSO, and Elastic Nets

Derek Kane • 9 years ago

딥러닝과 강화 학습으로 나보다 잘하는 쿠키런 AI 구현하기 DEVIEW 2016

Taehoon Kim • 7 years ago

[Pycon 2015] 오늘 당장 딥러닝 실험하기 제출용

현호 김 • 8 years ago

Ridge regression, lasso and elastic net

Vivian S. Zhang • 10 years ago

Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author

Vivian S. Zhang • 8 years ago

Strategies and Tools for Parallel Machine Learning in Python

Olivier Grisel • 11 years ago

한국어와 NLTK, Gensim의 만남

Eunjeong (Lucy) Park • 8 years ago

iRIS: A Large-Scale Food and Recipe Recommendation System Using Spark-(Joohyun Kim, MyFitnessPal, Under Armour-Connected Fitness)

Spark Summit • 8 years ago

Deconstructiong Recommendations on Spark-(Ilya Ganelin, Capital One)

Spark Summit • 8 years ago

Sparking Science up with Research Recommendations by Maya Hristakeva

Spark Summit • 8 years ago

DC Spark Users Group March 15 2016 - Spark and Netflix Recommendations

Chris Fregly • 8 years ago

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

Databricks • 9 years ago

Paris ML meetup

Yves Raimond • 8 years ago

Recommender Systems (Machine Learning Summer School 2014 @ CMU)

Xavier Amatriain • 9 years ago

Structuring Spark: DataFrames, Datasets, and Streaming by Michael Armbrust

Spark Summit • 8 years ago

How to Build a Recommendation Engine on Spark

Caserta • 9 years ago

Music Recommendations at Scale with Spark

Chris Johnson • 9 years ago

Algorithmic Music Recommendations at Spotify

Chris Johnson • 10 years ago

집단지성 프로그래밍 07-고급 분류 기법-커널 기법과 svm-01

Kwang Woo NAM • 9 years ago
Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Data Engineer
Industry
Technology / Software / Internet
Website
https://github.com/soleaf
About
Hello! I'm data engineer and backend server program developer. Please visit my Github, If you interesting at my open source working. (https://github.com/soleaf) Also I have been writing articles for ML and bigdata techs. Check my blog 'Trying ML'. (https://flonelin.wordpress.com)
Tags
java activemq mongoldb logging log4j
See more