Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
|
Buy Now
Machine Learning for Big Data Analysis (Hardcover)
Loot Price: R4,065
Discovery Miles 40 650
|
|
Machine Learning for Big Data Analysis (Hardcover)
Series: De Gruyter Frontiers in Computational Intelligence
Expected to ship within 10 - 15 working days
|
This volume comprises six well-versed contributed chapters devoted
to report the latest fi ndings on the applications of machine
learning for big data analytics. Big data is a term for data sets
that are so large or complex that traditional data processing
application software is inadequate to deal with them. The possible
challenges in this direction include capture, storage, analysis,
data curation, search, sharing, transfer, visualization, querying,
updating and information privacy. Big data analytics is the process
of examining large and varied data sets - i.e., big data - to
uncover hidden patterns, unknown correlations, market trends,
customer preferences and other useful information that can help
organizations make more-informed business decisions. This volume is
intended to be used as a reference by undergraduate and post
graduate students of the disciplines of computer science,
electronics and telecommunication, information science and
electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL
INTELLIGENCE The series Frontiers In Computational Intelligence is
envisioned to provide comprehensive coverage and understanding of
cutting edge research in computational intelligence. It intends to
augment the scholarly discourse on all topics relating to the
advances in artifi cial life and machine learning in the form of
metaheuristics, approximate reasoning, and robotics. Latest
research fi ndings are coupled with applications to varied domains
of engineering and computer sciences. This field is steadily
growing especially with the advent of novel machine learning
algorithms being applied to different domains of engineering and
technology. The series brings together leading researchers that
intend to continue to advance the fi eld and create a broad
knowledge about the most recent research.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.