Chun Ho Lee presentations

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GCP CloudML Intro

6 years ago • 306 Views

01 linear regression

6 years ago • 131 Views

1 linear regression

6 years ago • 96 Views

Apache MXNet/Gluon으로 쉽고 빠르게 구현하는 딥러닝 (정승환, SK텔레콤) :: AWS DevDay 2018

Amazon Web Services Korea • 5 years ago

KSQL - 효과적이고 간편한 스트리밍 프로세스 SQL엔진

원영 최 • 4 years ago

BigQuery의 모든 것(기획자, 마케터, 신입 데이터 분석가를 위한) 입문편

Seongyun Byeon • 4 years ago

데이터가 흐르는 조직 만들기 - 마이리얼트립

승화 양 • 4 years ago

Dsts how data_changes_sports_InbumKim

InBum Kim • 4 years ago

TFX: A tensor flow-based production-scale machine learning platform

Shunya Ueta • 6 years ago

하이퍼커넥트에서 자동 광고 측정 서비스 구현하기 - PyCon Korea 2018

승호 박 • 5 years ago

CNN 초보자가 만드는 초보자 가이드 (VGG 약간 포함)

Lee Seungeun • 7 years ago

Open Source Tools & Data Science Competitions

odsc • 8 years ago

Tensorflow - Intro (2017)

Alessio Tonioni • 7 years ago

텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016

Taehoon Kim • 7 years ago

텐서플로우 기초 이해하기

Yong Joon Moon • 7 years ago

[분석] cnn 이미지 인식 알고리즘을 활용한 사칙연산 수행

BOAZ Bigdata • 7 years ago

[분석]웹툰의 OSMU 가능성 예측을 위한 통계적 모델링

BOAZ Bigdata • 7 years ago

[분석]워드임베딩과 인공신경망을 이용한 개인 맞춤형 레시피 추천

BOAZ Bigdata • 7 years ago

Deep Learning for Recommender Systems RecSys2017 Tutorial

Alexandros Karatzoglou • 6 years ago

GDG DevFest Seoul 2017: Codelab - Time Series Analysis for Kaggle using TensorFlow

Taegyun Jeon • 6 years ago

Machine learning at scale with Google Cloud Platform

Matthias Feys • 6 years ago

Outbrain Click Prediction

Alexey Grigorev • 7 years ago

Feature Engineering - Getting most out of data for predictive models

Gabriel Moreira • 7 years ago

Deep learning based recommender systems (lab seminar paper review)

hyunsung lee • 6 years ago

Neural collaborative filtering-발표

hyunsung lee • 6 years ago

Evaluation in IR system (검색 시스템의 평가)

Minsub Yim • 7 years ago

Market Research Report on An Exploratory and Descriptive Study of Online, Offline and both Consumer Banking

Surbhi Jindal • 8 years ago

Showrooming, Webrooming and Outshopping: How to Address These New Consumer Behaviors

retaicouncil • 9 years ago

Showrooming vs. Webrooming: The Effect of Multichannel Information Search on Purchase Behavior

Rockbridge Associates, Inc. • 7 years ago

마인즈랩 통합 VOC 관리 솔루션 소개_20151030

Taejoon Yoo • 8 years ago

linear-regression tensorflow gcp

CHUN HO LEE

Presentations

GCP CloudML Intro

01 linear regression

1 linear regression

Likes

Apache MXNet/Gluon으로 쉽고 빠르게 구현하는 딥러닝 (정승환, SK텔레콤) :: AWS DevDay 2018

KSQL - 효과적이고 간편한 스트리밍 프로세스 SQL엔진

BigQuery의 모든 것(기획자, 마케터, 신입 데이터 분석가를 위한) 입문편

데이터가 흐르는 조직 만들기 - 마이리얼트립

Dsts how data_changes_sports_InbumKim

TFX: A tensor flow-based production-scale machine learning platform

하이퍼커넥트에서 자동 광고 측정 서비스 구현하기 - PyCon Korea 2018

CNN 초보자가 만드는 초보자 가이드 (VGG 약간 포함)

Open Source Tools & Data Science Competitions

Tensorflow - Intro (2017)

텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016

텐서플로우 기초 이해하기

[분석] cnn 이미지 인식 알고리즘을 활용한 사칙연산 수행

[분석]웹툰의 OSMU 가능성 예측을 위한 통계적 모델링

[분석]워드임베딩과 인공신경망을 이용한 개인 맞춤형 레시피 추천

Deep Learning for Recommender Systems RecSys2017 Tutorial

GDG DevFest Seoul 2017: Codelab - Time Series Analysis for Kaggle using TensorFlow

Machine learning at scale with Google Cloud Platform

Outbrain Click Prediction

Feature Engineering - Getting most out of data for predictive models

Deep learning based recommender systems (lab seminar paper review)

Neural collaborative filtering-발표

Evaluation in IR system (검색 시스템의 평가)

Market Research Report on An Exploratory and Descriptive Study of Online, Offline and both Consumer Banking

Showrooming, Webrooming and Outshopping: How to Address These New Consumer Behaviors

Showrooming vs. Webrooming: The Effect of Multichannel Information Search on Purchase Behavior

마인즈랩 통합 VOC 관리 솔루션 소개_20151030