Use coupon code “SUMMER20” for a 20% discount on all items! Valid until 2024-08-31

Site Logo
Search Suggestions

      Royal Mail  express delivery to UK destinations

      Regular sales and promotions

      Stock updates every 20 minutes!

      Probability in Electrical Engineering and Computer Science: An Application-Driven Course

      3 in stock

      Firm sale: non returnable item
      SKU 9783030499976 Categories ,
      Select Guide Rating
      This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary ...

      £34.99

      Buy new:

      Delivery: UK delivery Only. Usually dispatched in 1-2 working days.

      Shipping costs: All shipping costs calculated in the cart or during the checkout process.

      Standard service (normally 2-3 working days): 48hr Tracked service.

      Premium service (next working day): 24hr Tracked service – signature service included.

      Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.

      Signature Service: This service is only available for tracked items.

      Leave in Safe Place: This option is available at no additional charge for tracked services.

      Description

      Product ID:9783030499976
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Probability in Electrical Engineering and Computer Science
      Subtitle:An Application-Driven Course
      Authors:Author: Jean Walrand
      Page Count:380
      Subjects:Probability and statistics, Probability & statistics, Maths for engineers, Communications engineering / telecommunications, Maths for computer scientists, Maths for engineers, Communications engineering / telecommunications, Maths for computer scientists
      Description:Select Guide Rating
      This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com.This is an open access book.

      This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com.

      This is an open access book. 



      Imprint Name:Springer Nature Switzerland AG
      Publisher Name:Springer Nature Switzerland AG
      Country of Publication:GB
      Publishing Date:2022-06-24

      Additional information

      Weight614 g
      Dimensions155 × 234 × 34 mm