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
Data Science 101
Search
Ronojoy Adhikari
September 29, 2015
Research
4
1.3k
Data Science 101
Presentation at the Data Science 101 workshop at Orangescape.
Ronojoy Adhikari
September 29, 2015
Tweet
Share
More Decks by Ronojoy Adhikari
See All by Ronojoy Adhikari
Hydrodynamic and phoretic interactions of active particles in Python
ronojoy
0
100
IMSc Review Presentation
ronojoy
0
260
Probabilistic programming in Python
ronojoy
0
270
Mathematical Modelling
ronojoy
0
190
Data Science : Theory
ronojoy
2
1.1k
Data Science : Probability Theory
ronojoy
1
320
Active Brownian Motion
ronojoy
0
170
Does a droplet roll or slide ?
ronojoy
0
95
Bayesianism : a lightning introduction
ronojoy
2
94
Other Decks in Research
See All in Research
Evolutionary Optimization ofModel Merging Recipes (2024/04/17, NLPコロキウム)
iwiwi
5
1.9k
10-ot-generic-bio.pdf
gpeyre
0
120
クロスモーダル表現学習の研究動向: 音声関連を中心として
ryomasumura
3
570
Rの機械学習フレームワークの紹介〜tidymodelsを中心に〜 / machine_learning_with_r2024
s_uryu
0
210
プロシェアリング白書2024_PROSHARING_REPORT_2024
circulation
0
590
Deep State Space Models 101 / Mamba
kurita
9
3.4k
The Theory behind Vector DB
matsui_528
0
1.3k
株式会社リクルートホールディングス 企業分析
frandle256
0
130
[研究室用] 2038年問題研究の現状報告
ran350
0
290
Refactoring Mining - The key to unlock software evolution
tsantalis
0
240
脳卒中患者・家族からみた循環器病対策推進基本計画の進捗に関する調査
japanstrokeassociation
0
530
時系列解析と疫学
kingqwert
2
900
Featured
See All Featured
Building Flexible Design Systems
yeseniaperezcruz
318
37k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
12
1.5k
StorybookのUI Testing Handbookを読んだ
zakiyama
11
4.6k
Music & Morning Musume
bryan
41
5.6k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
19
1.9k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
5
1.5k
Product Roadmaps are Hard
iamctodd
43
9.7k
Thoughts on Productivity
jonyablonski
57
3.8k
Building a Modern Day E-commerce SEO Strategy
aleyda
16
6.4k
Put a Button on it: Removing Barriers to Going Fast.
kastner
58
3k
Practical Orchestrator
shlominoach
181
9.7k
jQuery: Nuts, Bolts and Bling
dougneiner
59
7.1k
Transcript
Data Science 101: insight, not numbers Ronojoy Adhikari The Institute
of Mathematical Sciences Chennai, India Orangescape Chennai, India Wednesday, 30 September 15
The purpose of computing is insight, not numbers. Wednesday, 30
September 15
The purpose of computing is insight, not numbers. Wednesday, 30
September 15
The purpose of computing is insight, not numbers. Richard Hamming
Wednesday, 30 September 15
What is the purpose of data science ? Wednesday, 30
September 15
What is the purpose of data science ? Insight, not
numbers! Wednesday, 30 September 15
Data science Wednesday, 30 September 15
Wednesday, 30 September 15
Data Wednesday, 30 September 15
Data Domain knowledge Wednesday, 30 September 15
Data Domain knowledge Data curation Wednesday, 30 September 15
Data Domain knowledge Data curation Mathematical model Wednesday, 30 September
15
Data Domain knowledge Data curation Mathematical model A/B testing Wednesday,
30 September 15
Data Domain knowledge Data curation Mathematical model A/B testing Machine
learning Wednesday, 30 September 15
Data Domain knowledge Data curation Mathematical model A/B testing Machine
learning Machine inference Wednesday, 30 September 15
Data Domain knowledge Data curation Mathematical model A/B testing Machine
learning Machine inference Value from data Wednesday, 30 September 15
1. Problem or question ? Wednesday, 30 September 15
Wednesday, 30 September 15
Let the data speak for themselves! Ronald Fisher Wednesday, 30
September 15
Let the data speak for themselves! Ronald Fisher The data
cannot speak for themselves; and they never have, in any real problem of inference. Edwin Jaynes Wednesday, 30 September 15
Classification Regression Clustering Dimensionality reduction Wednesday, 30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes Wednesday,
30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes Wednesday,
30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes predict
values, given other values Wednesday, 30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes predict
values, given other values Wednesday, 30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes predict
values, given other values group similar things together Wednesday, 30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes predict
values, given other values group similar things together Wednesday, 30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes predict
values, given other values group similar things together keeping only the relevant variables Wednesday, 30 September 15
Classification Regression Clustering Dimensionality reduction predict class, given attributes predict
values, given other values group similar things together keeping only the relevant variables Wednesday, 30 September 15
3. Frame a hypothesis (mathematical models) Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal probability is a state of knowledge
Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal probability is a state of knowledge
probability is a frequency Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal probability is a state of knowledge
probability is a frequency Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal probability is a state of knowledge
ML : toolbox for processing data probability is a frequency Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal probability is a state of knowledge
ML : toolbox for processing data probability is a frequency Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal probability is a state of knowledge
ML : toolbox for processing data ML : learning generative models of data probability is a frequency Wednesday, 30 September 15
Bayesian Blackbox Frequentist Causal probability is a state of knowledge
ML : toolbox for processing data ML : learning generative models of data probability is a frequency Wednesday, 30 September 15
Wednesday, 30 September 15
Wednesday, 30 September 15
Wednesday, 30 September 15
We are building a causal learning and inference engine that
will beat the current state-of-art! Wednesday, 30 September 15
We are building a causal learning and inference engine that
will beat the current state-of-art! Thank you for your attention! Wednesday, 30 September 15