Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Big Data
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Bleu Ren
November 15, 2015
Education
0
78
Big Data
Bleu Ren
November 15, 2015
Tweet
Share
More Decks by Bleu Ren
See All by Bleu Ren
Introduction to Convolutional Neural Networks
bleu
0
96
Recently doing-20161110
bleu
0
56
Industry 5.0
bleu
0
260
Database Management Concepts
bleu
0
79
Bleu Framework for Hbase & Hadoop
bleu
0
92
Paper discuss : Hadoop & HBase
bleu
1
73
Visualizing social network concepts
bleu
0
92
Determinants of RFID adoption intention: Evidence from Taiwanese retail chains
bleu
0
79
Presetation - SALESPOINT: A Java framework for teaching object-oriented software development
bleu
0
150
Other Decks in Education
See All in Education
Activité_5_-_Les_indicateurs_du_climat_global.pdf
bernhardsvt
0
140
栃木にいても「だいじ」だっぺ〜! 栃木&全国アジャイルコミュニティへの参加・運営の魅力
sasakendayo
1
140
都市の形成要因と 「都市の余白」のあり方
sakamon
0
150
1014
cbtlibrary
0
520
1008
cbtlibrary
0
130
国際卓越研究大学計画|Science Tokyo(東京科学大学)
sciencetokyo
PRO
0
47k
Measuring your measuring
jonoalderson
1
340
【dip】「なりたい自分」に近づくための、「自分と向き合う」小さな振り返り
dip_tech
PRO
0
230
AWS re_Invent に全力で参加したくて筋トレを頑張っている話
amarelo_n24
2
120
Design Guidelines and Models - Lecture 5 - Human-Computer Interaction (1023841ANR)
signer
PRO
0
1.3k
2025年度伊藤正彦ゼミ紹介
imash
0
160
GOVERNOR ADDRESS:2025年9月29日合同公式訪問例会:2720 Japan O.K. ロータリーEクラブ、2025年10月6日卓話:藤田 千克由 氏(国際ロータリー第2720地区 2025-2026年度 ガバナー・大分中央ロータリークラブ・大分トキハタクシー(株)顧問)
2720japanoke
0
750
Featured
See All Featured
Why Our Code Smells
bkeepers
PRO
340
58k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.4k
Making Projects Easy
brettharned
120
6.6k
We Are The Robots
honzajavorek
0
160
Fireside Chat
paigeccino
41
3.8k
My Coaching Mixtape
mlcsv
0
46
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
54
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
240
First, design no harm
axbom
PRO
2
1.1k
Build The Right Thing And Hit Your Dates
maggiecrowley
38
3k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
79
Statistics for Hackers
jakevdp
799
230k
Transcript
BIG DATA Bleu Ren
Let data “speak to you”
Analyze vast amounts of data Forced to settle for smaller
sets
Embrace messiness Privilege exactitude
Correlations Elusive causality
Self-handicapping
Statistics Infer, to estimate.
Use all the data, or just a little? infer
Randomness Increased sample size infer
Reanalyzed?
Ex: 23andMe & Steve Jobs
N=some
N=all
EX: Google Flu Trends
EX: Farecast
EX: credit card fraud
Full dataset : more freedom to explore
https://illum.lytro.com/illum
Social sciences
What’s BIG DATA?
A huge amount of data
A huge amount of data
Comprehensive set of data
Thanks