Description: FREE SHIPPING UK WIDE Essential Statistics for Data Science by Mu Zhu Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program in data science without knowing enough statistics. FORMAT Hardcover CONDITION Brand New Publisher Description Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing enough statistics. The three-part text starts from the basics of probability and random variables and guides readers towards relatively advanced topics in both frequentist and Bayesian approaches in a matter of weeks. Part I, Talking Probabilityexplains that the statistical approach to analysing data starts with a probability model to describe the data generating process. Part II, Doing Statistics explains that much of statistical inference is about learningunknown quantities in the model (e.g. its parameters) from the data it is presumed to have generated. Part III, Facing Uncertainty explains the importance of explicitly describing how much uncertainty we have about the model parameters, especially those with intrinsic scientific meaning, and of taking that into account when making decisions. Essential Statistics for Data Science: A Concise Crash Course provides an in-depth introduction for beginners,while being more serious than a typical undergraduate text, but still lighter and more accessible than an average graduate text. Author Biography Mu Zhu is Professor in the Department of Statistics & Actuarial Science at the University of Waterloo, and Fellow of the American Statistical Association. He received his AB magna cum laude in applied mathematics from Harvard University, and his PhD in statistics from Stanford University. He is currently Director of the Graduate Data Science Program at Waterloo. Table of Contents PrologueI Talking Probability1: Eminence of Models1.A. For brave eyes only2: Building Vocabulary2.1: Probability2.1.1 Basic rules2.2: Conditional probability2.2.1 Independence2.2.2 Law of total probability2.2.3 Bayes law2.3: Random variables2.3.1 Summation and integration2.3.2 Expectations and variances2.3.3 Two simple distributions2.4: The bell curve3: Gaining Fluency3.1: Multiple random quantities3.1.1 Higher-dimensional problems3.2: Two Long Description Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing enough statistics. The three part text introduces readers to the basics of probability and random variables and guides them towards relatively advanced topics in both frequentist and Bayesian in a matter of weeks. Part I, Talking Probability explains the statistical approach to analysing data with a probability model to describe the data generating process. Part II, Doing Statistics demonstrates how the unknown quantities in data i.e. its parameters is applicable in statistical interference. Part III, Facing Uncertainty explains the importance of explicity describing how much uncertainty is caused by parameters with intrinsic scientific meaning and how to take that intoaccount when making decisions. Essential Statistics for Data Science: A Concise Crash Course provides an in-depth introduction for beginners, while being more focused than a typical undergraduate text, but still lighter and more accessible than an average graduate text. Details ISBN0192867733 Author Mu Zhu Publisher Oxford University Press Year 2023 ISBN-10 0192867733 ISBN-13 9780192867735 Format Hardcover Pages 176 Publication Date 2023-04-04 UK Release Date 2023-04-04 Imprint Oxford University Press Subtitle A Concise Crash Course Place of Publication Oxford Country of Publication United Kingdom NZ Release Date 2023-04-04 Alternative 9780192867742 Audience Tertiary & Higher Education DEWEY 005.7 AU Release Date 2023-10-22 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:158750181;
Price: 86.98 GBP
Location: London
End Time: 2024-11-30T20:33:09.000Z
Shipping Cost: 6.29 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Return policy details:
Format: Hardcover
ISBN-13: 9780192867735
Author: Mu Zhu
Type: NA
Book Title: Essential Statistics for Data Science
Language: Does not apply
Publication Name: NA