Data Science
Reeks: The MIT Press Essential Knowledge series
John D. Kelleher ; Brendan Tierney
- A
- concise
- introduction
- to
- the
- emerging
- field
- of
- data
- science,
- explaining
- its
- evolution,
- relation
- to
- machine
- learning,
- current
- uses,
- data
- infrastructure
- issues,
- and
- ethical
- challenges.The
- goal
- of
- data
- science
- is
- to
- improve
- decision
- making
- through
- the
- analysis
- of
- data.
- Today
- data
- science
- determines
- the
- ads
- we
- see
- online,
- the
- books
- and
- movies
- that
- are
- recommended
- to
- us
- online,
- which
- emails
- are
- filtered
- into
- our
- spam
- folders,
- and
- even
- how
- much
- we
- pay
- for
- health
- insurance.
- This
- volume
- in
- the
- MIT
- Press
- Essential
- Knowledge
- series
- offers
- a
- concise
- introduction
- to
- the
- emerging
- field
- of
- data
- science,
- explaining
- its
- evolution,
- current
- uses,
- data
- infrastructure
- issues,
- and
- ethical
- challenges.It
- has
- never
- been
- easier
- for
- organizations
- to
- gather,
- store,
- and
- process
- data.
- Use
- of
- data
- science
- is
- driven
- by
- the
- rise
- of
- big
- data
- and
- social
- media,
- the
- development
- of
- high-performance
- computing,
- and
- the
- emergence
- of
- such
- powerful
- methods
- for
- data
- analysis
- and
- modeling
- as
- deep
- learning.
- Data
- science
- encompasses
- a
- set
- of
- principles,
- problem
- definitions,
- algorithms,
- and
- processes
- for
- extracting
- non-obvious
- and
- useful
- patterns
- from
- large
- datasets.
- It
- is
- closely
- related
- to
- the
- fields
- of
- data
- mining
- and
- machine
- learning,
- but
- broader
- in
- scope.
- This
- book
- offers
- a
- brief
- history
- of
- the
- field,
- introduces
- fundamental
- data
- concepts,
- and
- describes
- the
- stages
- in
- a
- data
- science
- project.
- It
- considers
- data
- infrastructure
- and
- the
- challenges
- posed
- by
- integrating
- data
- from
- multiple
- sources,
- introduces
- the
- basics
- of
- machine
- learning,
- and
- discusses
- how
- to
- link
- machine
- learning
- expertise
- with
- real-world
- problems.
- The
- book
- also
- reviews
- ethical
- and
- legal
- issues,
- developments
- in
- data
- regulation,
- and
- computational
- approaches
- to
- preserving
- privacy.
- Finally,
- it
- considers
- the
- future
- impact
- of
- data
- science
- and
- offers
- principles
- for
- success
- in
- data
- science projects.
pro-mbooks3 : libris
