Probability And Statistics For Computer Scientists(2nd Edition)

Authors:

Michael Baron

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 1 Left

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Book details

ISBN: 1439875901, 978-1439875902

Book publisher: Chapman And Hall/CRC

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Book Price $129.39 : Probability and Statistics for Computer Scientists by Michael Baron provides an in-depth exploration of statistical methods and probability theory tailored specifically for application in computer science. The book is recognized for its clear explanation of complex concepts like Bayesian networks, hypothesis testing, and Markov chains, which are critical for developing algorithms that underpin machine learning and data science. Designed with both instructors and students in mind, it includes a comprehensive solution manual and an answer key to facilitate self-study and enhance the learning experience. Readers will also find a detailed table of contents that provides an organized guide to topics such as stochastic processes, regression analysis, and Monte Carlo methods, enhancing navigation and comprehension. Aimed at those pursuing advanced computer science courses, this second edition updates content to reflect new trends and methodologies in computational statistics. The book's reception is positive, noted for its practical examples relevant to real-world computational problems, making it an essential resource for anyone in the field of data science or computer engineering. Its structured approach empowers students to apply statistical methods effectively in programming environments, utilizing languages such as R and Python for implementing solutions. Overall, Baron's work is a critical resource in the field of computational statistics, facilitating a comprehensive understanding of fundamental statistical techniques essential in the dynamically evolving tech industry. Offering both quality content and a cheap price, this volume suits budget-conscious readers.

Customer Reviews

Trusted feedback from verified buyers

MC
Martin Chambers
3.0
Decent intro but lack of examples.
RH
Robert Hughes
5.0
This book is an outstanding resource for anyone in computer science needing a strong foundation in probability and statistics. It's well-structured and offers clear explanations of complicated concepts, which I found immensely helpful while preparing for my data science exams. I was pleasantly surprised by the delivery; it arrived quickly and was well-packaged. Plus, I got a great discount with my student membership, making it an amazing deal!
HB
Henry Bishop
5.0
If you're diving into the world of data, this is the book for you! The examples are quite illustrative and the exercises are challenging yet solvable, fostering a deeper understanding. What sets this edition apart is the updated content reflecting the current trends in data analysis. The book arrived promptly, just in time for my weekend study marathon. I highly recommend it!
EC
Elsie Chapman
4.0
This book strikes a good balance between theoretical concepts and practical applications. The only reason I'm not giving it five stars is that some sections could benefit from additional examples. Nevertheless, I found it incredibly useful during my machine learning course. Also, a shoutout to the fast shipping—I had the book in hand just two days after ordering. Definitely recommend it for those serious about mastering their stats skills!