|
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
|
Buy Now
Computing with Data - An Introduction to the Data Industry (Hardcover, 1st ed. 2018)
Loot Price: R2,737
Discovery Miles 27 370
|
|
|
Computing with Data - An Introduction to the Data Industry (Hardcover, 1st ed. 2018)
Expected to ship within 10 - 15 working days
|
This book introduces basic computing skills designed for industry
professionals without a strong computer science background. Written
in an easily accessible manner, and accompanied by a user-friendly
website, it serves as a self-study guide to survey data science and
data engineering for those who aspire to start a computing career,
or expand on their current roles, in areas such as applied
statistics, big data, machine learning, data mining, and
informatics. The authors draw from their combined experience
working at software and social network companies, on big data
products at several major online retailers, as well as their
experience building big data systems for an AI startup. Spanning
from the basic inner workings of a computer to advanced data
manipulation techniques, this book opens doors for readers to
quickly explore and enhance their computing knowledge. Computing
with Data comprises a wide range of computational topics essential
for data scientists, analysts, and engineers, providing them with
the necessary tools to be successful in any role that involves
computing with data. The introduction is self-contained, and
chapters progress from basic hardware concepts to operating
systems, programming languages, graphing and processing data,
testing and programming tools, big data frameworks, and cloud
computing. The book is fashioned with several audiences in mind.
Readers without a strong educational background in CS--or those who
need a refresher--will find the chapters on hardware, operating
systems, and programming languages particularly useful. Readers
with a strong educational background in CS, but without significant
industry background, will find the following chapters especially
beneficial: learning R, testing, programming, visualizing and
processing data in Python and R, system design for big data, data
stores, and software craftsmanship.
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!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
