Bryan Thomas Schmidt
Bryan Walsh
In this history of extinction and existential risk, a newsweek and bloomberg popular science and investigative journalist examines our most dangerous mistakes -- and explores how we can protect and future-proof our civilization.
Bryan Cantrill
Bryan Greetham
This book takes the reader carefully through each stage of essay writing from interpretation of the question, to the research, planning, writing and revision.
Bryan Aiello
Bryan A. Garner
Bryan S. Turner
This textbook provides an ambitious overview of asia from the perspective of the comparative sociology of culture and social structure.
Bryan Pitts
Bryan McIntosh
Bryan Jr Charles F
Bryan Fletcher
Bryan Smith
Bryan Houghton
Bryan Kelly
Bryan Meadows
Bryan Christopher Moss
Bryan F. J. Manly
Bryan O'Connor
Bryan Young
Bryan Houghton
Blair Bryan
Caroline Christiansen
Bryan Riecker
Bryan Paiement
Bryan Johnston
Bryan Chapell
Rupert Christiansen
Bryan Patrick Avery
Bryan J. Carr
Timothy Bryan
Morten H. Christiansen
Patrick Bryan
Bryan Switalski
Lucy Bryan
Bryan Talbot
Bryan W. Carter
John P. O'Bryan
Bryan Denlinger
Bryan Young
Bryan, Lightbody
Jens Christiansen
Michael Bryan
Paul A. Bryan
Bryan Smith
Morten H. Christiansen
Bryan Patrick Avery
Bryan M. Litfin
Bryan Paiement
Frank M Bryan
Bryan Davis
Bryan Johnston
Bryan Borzykowski
Cade Metz
Henry A. Kissinger
Rahul Bhalley
Terje Solsvik Kristensen
R. Bharat Rao
Bijaya Ketan Panigrahi
E. Bashir
Vaibhav Verdhan
Wee-Hyong Tok
Build products using deep learning, weakly supervised learning, and natural language processing without collecting millions of training records.
Cade Metz
Tom Lawry
"we are in the early stages of the next big platform shift in healthcare computing.
Jonathan Bard
High above our heads, orbiting earth, are huge technical wonders called satellites.
N. Gupta
Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the turing test, and early applications.
Natasha X. Che
H. Prakken
Hefin Rhys
Summary machine learning (ml) is a collection of programming techniques for discovering relationships in data.
Charlie Gerard
Beate Sick
Yuxi (Hayden) Liu
Take tiny steps to enter the big world of data science through this interesting guide about this book - learn the fundamentals of machine learning and build your own intelligent applications - master the art of building your own machine learning systems w.
I. Gupta
This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks.
Ahti-Veikko Pietarinen
Brian Smith
Daniel Minoli
A practical guide to satellite transmission engineering, this book has three distinguishing features.
Pamela McCorduck
Luis de Miranda
Steve Rabin
Steve rabin's game ai pro 360: guide to character behavior gathers all the cutting-edge information from his previous three game ai pro volumes into a convenient single source anthology that covers character behavior in game ai.
Tamra B. Orr
Gebrail Bekda
"this book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--.
Steve Rabin
Steve rabin's game ai pro 360: guide to character behavior gathers all the cutting-edge information from his previous three game ai pro volumes into a convenient single source anthology that covers character behavior in game ai.
Steve Rabin
Steve rabin's game ai pro 360: guide to character behavior gathers all the cutting-edge information from his previous three game ai pro volumes into a convenient single source anthology that covers character behavior in game ai.
Thomas Ramge
Nada R. Sanders
Steve Rabin
Steve rabin's game ai pro 360: guide to character behavior gathers all the cutting-edge information from his previous three game ai pro volumes into a convenient single source anthology that covers character behavior in game ai.
Sudharsan Ravichandiran
Perry Xiao
Learn practical uses for some of the hottest tech applications trending among technology professionals we are living in an era of digital revolution.
Karthikeyan NG
Aboul Ella Hassanien
Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning.
Davenport, Thomas H.
Yuk Hui
This book employs recursivity and contingency as two principle concepts to investigate into the relation between nature and technology, machine and organism, system and freedom.
Yuk Hui
This book employs recursivity and contingency as two principle concepts to investigate into the relation between nature and technology, machine and organism, system and freedom.
Woodrow Barfield
The field of artificial intelligence (ai) has made tremendous advances in the last few decades, but as smart as ai is now, it is getting exponentially smarter and becoming more autonomous in its actions.
Charles Ross
Davenport, Thomas H.
Milan Česka
Manasawee Kaenampornpan
Harry Collins
Recent startling successes in machine intelligence using a technique called 'deep learning' seem to blur the line between human and machine as never before.
John Paul Mueller
Step into the future with aithe term "artificial intelligence" has been around since the 1950s, but a lot has changed since then.
Aleksandr Piperski
Soumya Mohanty
A core task in statistical analysis, especially in the era of big data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns.