Probability for Information Technology - Image 1

£56.84

Springer Probability for Information Technology

Name: Probability for Information Technology
Brand: Springer
Price: 56.84 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£57 today · usual range £0–£0 · best ever £50

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 463 days • 463 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 463 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £50 (140 days, 30.2%)

Price range: £50 - £58

Price levels: 6 different prices over 463 days

Description

This book introduces probabilistic modelling and explores its role in solving a broad spectrum of engineering problems that arise in Information Technology (IT). Divided into three parts, it begins by laying the foundation of basic probability concepts such as sample space, events, conditional probability, independence, total probability law and random variables. The second part delves into more advanced topics including random processes and key principles like Maximum A Posteriori (MAP) estimation, the law of large numbers and the central limit theorem. The last part applies these principles to various IT domains like communication, social networks, speech recognition, and machine learning, emphasizing the practical aspect of probability through real-world examples, case studies, and Python coding exercises. A notable feature of this book is its narrative style, seamlessly weaving together probability theories with both classical and contemporary IT applications. Each concept is reinforced with tightly-coupled exercise sets, and the associated fundamentals are explored mostly from first principles. Furthermore, it includes programming implementations of illustrative examples and algorithms, complemented by a brief Python tutorial. Departing from traditional organization, the book adopts a lecture-notes format, presenting interconnected themes and storylines. Primarily tailored for sophomore-level undergraduates, it also suits junior and senior-level courses. While readers benefit from mathematical maturity and programming exposure, supplementary materials and exercise problems aid understanding. Part III serves to inspire and provide insights for students and professionals alike, underscoring the pragmatic relevance of probabilistic concepts in IT.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 9819740312
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 18 November 2024
Listed Since: 09 May 2024

Barcode

No barcode data available

Springer Probability for Information Technology

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding: 78 (Probability Theory and Stochastic Modelling, 78)

Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding: 78 (Probability Theory and Stochastic Modelling, 78)

Probability: An Introduction Through Theory and Exercises (Universitext)

Probability Theory: An Elementary Course

A Modern Approach to Probability Theory (Probability and Its Applications)

A Graduate Course in Probability

Probability-2: 95 (Graduate Texts in Mathematics, 95)

Probability Concepts and Theory for Engineers

An Introduction to Probability and Statistical Inference

Probability Theory with Applications: 582 (Mathematics and Its Applications, 582)

Probability Theory with Applications: 582 (Mathematics and Its Applications, 582)

Probability and Statistics for Engineering and the Sciences with Modeling using R (Textbooks in Mathematics)

Applied Probability: From Random Experiments to Random Sequences and Statistics

Probability and Random Processes: With Applications to Signal Processing and Communications

Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)

Introduction to Probability with Statistical Applications

Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics (Springer Texts in Statistics)

Wiley Probability: With Applications and R - Math Textbook

Problems and Snapshots from the World of Probability

Probability Theory: The Logic of Science

A Probability Path (Modern Birkhäuser Classics)

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)

Probability: An Introduction with Statistical Applications, 2nd Edition

Introduction To Probability Theory: A First Course On The Measure-theoretic Approach: 3 (World Scientific Series On Probability Theory And Its Applications)