Software Freedom Day Philippines 2016 "Change We Need"

2. Trends in Data ScienceAlbert Gavino, Talas Data Scientist, Climate
Reality Leader
August 2016

3. Working with MVP group of
companies

4. The 3 BIG V’s
VOLUME
VARIETY
VELOCITY

5. From regular data to BIG data
RegulardataBIGdata
Statistical modeling
Machine Learning
Deep Learning / A.I.
Traditional Modern

6. Trends in Data Science
Domains
Data Science Domain Current Status in the Local Setting
Statistics Traditional
Natural Language Processing (NLP) Entered the market
Predictive Analytics / Machine Learning Entered the market
Visualization / Dashboards Entered the market
Image Processing (openCV) Exploration
Internet of Things (IoT) Exploration
Artificial Intelligence/ Deep Learning Exploration

7. DS/Big Data Applications to
the field of Study
Agriculture Climate forecast modeling to help farmers
manage plantations (e.g. corn yields)
Medical field Image processing for chest x rays,
retina images for diabetic patients
Linguistics Natural Language Processing (NLP) for
dialects and Sentiment Analysis applications
Economics/Finance Predicting good stock options based on good
economic indicators.
(e.g. effect of Elections on PSE)
Sample Field of Study Specific Applications
Engineering Internet of Things (IoT) application to Big Data

8. Building a Data Science Team
Data Scientist Data Engineer/
Dev Ops
Statistician Viz Expert
R,
Python,
Spark ML
Hadoop,
Spark Core,
Spark stream
SAS,
SPSS,
R,
Matlab
Tableau, Cognos
D3, Javascript
Neural Nets
Random Forest
RDD, dataframes,
SQLContext
Linear Regression
K-means clustering
visualization
GIS maps
DS
role
Prog
Language
Sample
output
Data Science Team Composition

9. Python, R and SQL : Which one
to Choose?
2014 DICE Tech Salary Survey Analytics Vidhya

10. Trends on Programming
Languages
scala
R
python
spark Rapid miner EMC
java

11. The rise of the DS notebooks
Notebook Options:
● Running locally on a machine (e.g. jupyter)
● Running on the cloud (e.g. databricks)

12. Data Science Crowdsourcing
Platforms

13. Ensembling and Kaggling

14. DS Trends Slides Summary
Choose domains which are good to focus
on
(e.g. data science, dev-ops, viz, statistics,
ML)
It is good to learn a programming language
such as R or Python and good to combine
with SQL skills
Machine Learning Ensemble methods are
still quite popular with DS crowd-sourcing

15. Q & A portion
www.talas.ph
www.facebook.com/groups/talasph