python for data science - tdc 2015
TRANSCRIPT
PYTHON FOR DATA SCIENCE
Gabriel MoreiraMachine Learning Engineer
@gspmoreira
2015
Why so much buzz?
https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
Big Data
ONLINE PERSONALIZATION
WHAT IS DATA SCIENTISTA Data Scientist is someone with deliberate dual personality who can first build a curious business case defined with a telescopic vision and can then dive deep with microscopic lens to sift through DATA to reach the goal while defining and executing all the intermittent tasks.
http://www.datasciencecentral.com/profiles/blogs/are-you-a-data-scientist
http://nirvacana.com/thoughts/becoming-a-data-scientist/Data Science MetroMap Curriculum
TYPES OF ANALYTICS
Investigative Analytics Operational AnalyticsConsumers: Humans Consumers: Machines
http://blog.cloudera.com/blog/2014/03/why-apache-spark-is-a-crossover-hit-for-data-scientists/https://hbr.org/2014/08/the-question-to-ask-before-hiring-a-data-scientist/
[Hillary Mason, Data Scientist]
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DATA SCIENCE IS IOSEMN
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PYTHON IS IOSEMN
jsOutsider
ANALYTICS CASE CORPORATE SOCIAL NETWORKS
Investigative AnalyticsConsumers: Humans
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INQUIRE
1.Which communities are more popular?
2.Is the user engagement increasing?
3.What is the distribution of publishing time?
4.What is the distribution of user interactions?
5.Is there a relationship between publishing hour and number of interactions?
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OBTAIN
•Download data from another location (e.g., a web page or server)
•Query data from a database (e.g., MySQL or Oracle)•Extract data from an API (e.g., Twitter, Facebook) •Extract data from another file (e.g., an HTML file or
spreadsheet) •Generate data yourself (e.g., reading sensors or
taking surveys)
READING INTERACTIONS FROM CVS
READING POSTS FROM JSON LINES
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Dealing with nulls
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1 - WHICH COMMUNITIES ARE MORE POPULAR?
1 - WHICH COMMUNITIES ARE MORE POPULAR?
2 - IS USER ENGAGEMENT INCREASING?
2 - IS USER ENGAGEMENT INCREASING?
3 - WHAT IS THE DISTRIBUTION OF PUBLISHING TIME?
4 - HOW IS THE DISTRIBUTION OF USER INTERACTIONS?
4 - HOW IS THE DISTRIBUTION OF USER INTERACTIONS?
4 - HOW IS THE DISTRIBUTION OF USER INTERACTIONS?
5 - RELATIONSHIP BETWEEN PUBLISHING TIME AND NUMBER OF INTERACTIONS?
5 - RELATIONSHIP BETWEEN PUBLISHING TIME AND NUMBER OF INTERACTIONS?
5 - RELATIONSHIP BETWEEN PUBLISHING TIME AND NUMBER OF INTERACTIONS?
5 - RELATIONSHIP BETWEEN PUBLISHING TIME AND NUMBER OF INTERACTIONS?
http://viverdeblog.com/melhoresahorarios-para-postar-nas-redes-sociais/
Operational AnalyticsConsumers: Machines
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1. Discover the most relevant words in the posts
2. Find related posts, with similar content
Operational Analytics Tasks example
Find Related Posts
1 - RELEVANT WORDS IN A POST
TF-IDF - More “relevant" terms in a document are frequent terms in the document and rare in other documents
1 - RELEVANT WORDS IN A POST
1 - RELEVANT WORDS IN A POST
1 - RELEVANT WORDS IN A POST
BONUS - GLOBAL RELEVANT TERMS [ALL POSTS]
2 - SIMILAR POSTS
Cosine Similarity Measure of similarity between two vectors being the cosine of the angle between them.
2 - SIMILAR POSTS
2 - SIMILAR POSTSOriginal Post Did you ever wonder how great it would be if you could write your jmeter tests in ruby ? This projects aims to do so. If you use it on your project just let me now. On the Architecture Academy you can read how jmeter can be used to validate your Architecture. modulo 13 arch definition architecture validation | academia de arquiteturaMost similar post (cosine similarity = 0.30) Foram disponibilizados no site Enterprise Architecture, na parte de Knowledge Base de performance, alguns how-tos relacionados a testes de performance.Entre eles, como definir os requisitos (throughput, cálculo de threads para o JMeter etc.), utilização do JMeter, geração de massa de dados e monitoramento. planning and executing performance testing | enterprise architecture - how to identify performance acceptance criteria | enterprise architecture - how to geracao de massa de dados | enterprise architecture - how to jmeter | enterprise architecture - how to monitoramento | enterprise architecture
SIMILAR PEOPLE!
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INTERPRET
•Drawing conclusions from your data
•Evaluating what your results mean
•Communicating your result
DATA PRODUCTS“If information has context and the context is interactive, insights are not predictable."
[Agile Data Science, O’Reilly, 2014]
SENTIMENT ANALYSIS
bit.ly/eleicoes2014debatesbt
Analytical Dashboard
SENTIMENT ANALYSISAnalytical Dashboard
bit.ly/eleicoes2014debatesbt
What about Python for Big Data?
PYTHON ON HADOOP
Streaming
HADOOPYPig UDFs in Jython
HADOOP STREAMINGHadoop Streaming - Allows MapReduce jobs from any executable script - including Python
HADOOP STREAMING
http://workingsweng.com.br/2014/04/clusterizando-raios-com-hadoop-e-k-means-em-map-reduce/
K-Means with Python on MapReduce
140.000 lightnings em 28/02/2014 in 137 data files
Running on Amazon Elastic Map Reduce•Instances: 10 m1.small•Time (k=10): 10 iterations => 32 minutes•Time (k=50): 50 iterations => 164 minutes
IS DATA SCIENTIST THENEW WEBMASTER?
[Doing Data Science, O’Reilly, 2014]
DATA SCIENCE COURSES• Introduction to Data Science (Univ. of Washington)
• Data Science specialization (Johns Hopkins)
• Intro to Hadoop and MapReduce (Cloudera)
• Machine Learning (Stanford)
• Statistical Learning (Stanford)
• Mining Massive Datasets (Stanford)
• Scalable Machine Learning (Berkeley)
http://workingsweng.com.br/2014/04/cursos-mooc-e-especializacoes-em-data-science/
BOOKS
Happy data geeking!
Gabriel Moreira@gspmoreira
http://about.me/gspmoreira
Thank you!
2015
PYTHON FOR DATA SCIENCE
Slides: http://bit.ly/python4ds_tdc