Download - I believe I can fly (Extract London 2015)
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I believe I can flyEasy Data Science
Ignacio Elola @ignacio_elola
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summary
data science
tools and data
example: text analysis with import.io and MonkeyLearn
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what we mean when we talk about data science?
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what we mean when we talk about data science?
Problem to solve / Business question
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what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
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what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDA
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what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDAAlgorithms & ML
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what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDAAlgorithms & ML
Reporting: Answer / MVP
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what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDAAlgorithms & ML
Reporting: Answer / MVP
Get feedback / Review
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what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDAAlgorithms & ML
Reporting: Answer / MVP
Get feedback / Review
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what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDAAlgorithms & ML
Reporting: Answer / MVP
Get feedback / Review
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The Inconvenient Truth About Data Science
1. Data is never clean.2. You will spend most of your time cleaning and preparing data.3. 95% of tasks do not require deep learning.4. In 90% of cases generalized linear regression will do the trick.5. Big Data is just a tool.6. You should embrace the Bayesian approach.7. No one cares how you did it.8. Academia and business are two different worlds.9. Presentation is key - be a master of Power Point.
10. All models are false, but some are useful.11. There is no fully automated Data Science. You need to get your hands dirty.
Kamil Bartocha (http://www.kbartocha.com/)
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what we mean when we talk about data science?
data -> action
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how?
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tools
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tools
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tools
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tools
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tools
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tools
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tools
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why import
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why import
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why import
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Example: doing data science with import.io and MonkeyLearn
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Example: doing data science with import.io and MonkeyLearn
https://github.com/ignacioelola/web-text-analyzer
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Example: doing data science with import.io and MonkeyLearn
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Thanks!
Q & A