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Data Science 101
Ronojoy Adhikari
September 29, 2015
Research
2
870
Data Science 101
Presentation at the Data Science 101 workshop at Orangescape.
Ronojoy Adhikari
September 29, 2015
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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