
As We Use The Web For Social Networking, Shopping, And News, We Leave A Personal Trail. These Days, Linger Over A Web Page Selling Lamps, And They Will Turn Up At The Advertising Margins As You Move Around The Internet, Reminding You, Tempting You To Make That Purchase. Search Engines Such As Google Can Now Look Deep Into The Data On The Web To Pull Out Instances Of The Words You Are Looking For. And There Are Pages That Collect And Assess Information To Give You A Snapshot Of Changing Political Opinion. These Are Just Basic Examples Of The Growth Of Web Intelligence, As Increasingly Sophisticated Algorithms Operate On The Vast And Growing Amount Of Data On The Web, Sifting, Selecting, Comparing, Aggregating, Correcting; Following Simple But Powerful Rules To Decide What Matters. While Original Optimism For Artificial Intelligence Declined, This New Kind Of Machine Intelligence Is Emerging As The Web Grows Ever Larger And More Interconnected. Gautam Shroff Takes Us On A Journey Through The Computer Science Of Search, Natural Language, Text Mining, Machine Learning, Swarm Computing, And Semantic Reasoning, From Watson To Self-driving Cars. This Machine Intelligence May Even Mimic At A Basic Level What Happens In The Brain.
This book investigates how the convergence of massive data sets and sophisticated algorithms is creating a new form of machine intelligence on the modern web. Gautam Shroff, a veteran in the field of software research, utilizes his technical background to explain the mechanisms behind search engines, recommendation systems, and predictive analytics. He argues that the growth of the internet has shifted the focus of artificial intelligence from abstract reasoning to practical, data-driven applications that mirror human cognitive processes.
What You Will Find
Scope Limits
Experts recognize this work as a clear, accessible bridge between high-level computer science concepts and their practical applications in the digital age. Readers frequently note that the prose balances technical rigor with enough clarity to remain approachable for those with a foundational interest in how web intelligence functions.
Page Count:
320
Publication Date:
2013-01-01
Publisher:
Oxford University Press
ISBN-10:
0191664618
ISBN-13:
9780191664618
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