DATA SCIENCE
Submitted By:
Bhagyashree Patra
Dept. of Computer
Application
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Data Science- an introduction, Slides of Artificial Intelligence
this slide provide only introduction about what is data science with a reference example.
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DATA SCIENCE
Submitted By:
Bhagyashree Patra
Dept. of Computer
Application
Agenda
This presentation will provide an introduction to data science
fundamental.
- (^) What is Data?
What is Data Science? Real world example…
What is Big Data?
Traditional data management vs Data science
- (^) Facts of data
What is Data Science..?
- (^) Data science, in its most basic terms, can be defined as obtaining insights and information, really
anything of value, out of data.
- (^) It is a blend of various tools, algorithms, and machine learning principles with the goal to discover
hidden patterns from the raw data.
Define
the goal
Collect
and
manage
data
Build the
model
Evaluate
and
critique
model
Present
results &
document
Deploy
model
Life cycle of a data science project
Netflix Use Case
Data sources
Personalized video ranker^ Personalized video ranker
Find the next smash hit series^ Find the next smash hit series
Top N video ranker^ Top N video ranker
Trending now^ Trending now
Continue watching^ Continue watching
Similarity algorithm^ Similarity algorithm
Data analysis
Traditional data management fails to support bigdata…
- (^) The relational database management system (or RDBMS) had been the one solution for all database
needs. Oracle, IBM and Microsoft are the leading players of RDBMS. RDBMS uses structured query
language (or SQL) to define, query, and update the database.
Limitations of RDBMS to support “big data”:
i. The data size has increased tremendously.
ii. The majority of the data comes in a semi-structured or unstructured format.
Big data is generated at a very high velocity. RDBMS lacks in high velocity because it’s designed for
steady data retention rather than rapid growth. Even if RDBMS is used to handle and store “big data,” it
will turn out to be very expensive.