Date post: | 10-Aug-2015 |
Category: |
Technology |
Upload: | ignacio-elola-villar |
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I believe I can flyEasy Data Science
Ignacio Elola @ignacio_elola
summary
data science
tools and data
example: text analysis with import.io and MonkeyLearn
what we mean when we talk about data science?
what we mean when we talk about data science?
Problem to solve / Business question
what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDA
what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDAAlgorithms & ML
what we mean when we talk about data science?
Problem to solve / Business question
Data Collection & Data cleaning
EDAAlgorithms & ML
Reporting: Answer / MVP
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
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
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
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/)
what we mean when we talk about data science?
data -> action
how?
tools
tools
tools
tools
tools
tools
tools
why import
why import
why import
Example: doing data science with import.io and MonkeyLearn
Example: doing data science with import.io and MonkeyLearn
https://github.com/ignacioelola/web-text-analyzer
Example: doing data science with import.io and MonkeyLearn
Thanks!
Q & A