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This undergraduate textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.
With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Scientists features:
• A treatment of random variables and expectations dealing primarily with the discrete case.
• A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors.
• A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems.• A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis.
• A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals.
Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know from that chapter.
Instructor resources include a full set of model solutions for all problems, and an Instructor''s Manual with accompanying presentation slides.
This undergraduate textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.
With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Scientists features:
• A treatment of random variables and expectations dealing primarily with the discrete case.
• A chapter dealing with classification, explaining why it’s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors.
• A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems.• A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis.
• A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals.
Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know from that chapter.
Instructor resources include a full set of model solutions for all problems, and an Instructor''s Manual with accompanying presentation slides.
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Hvis du ikke har et medlemsskab er priserne som følger:
| Levering til pakkeshop | 39,95 kr. pr. ordre |
| Hjemmelevering | 59,90 kr. pr. ordre |
Med et guldmedlemsskab er leveringspriserne:
| Levering til pakkeshop. Ordrer under 250 kr. | 34,95 kr. pr. ordre |
| Levering til pakkeshop. Ordrer over 250 kr. | 24,95 kr. pr. ordre |
| Hjemmelevering. Ordrer under 250 kr. | 59,90 kr. pr. ordre |
| Hjemmelevering. Ordrer over 250 kr. | 49,90 kr. pr. ordre |
Med et plating- eller streaming medlemsskab er leveringspriserne:
| Levering til pakkeshop. Ordrer under 250 kr. | 24,95 kr. pr. ordre |
| Levering til pakkeshop. Ordrer over 250 kr. | 0 kr. pr. ordre |
| Hjemmelevering. Ordrer under 250 kr. | 44,90 kr. pr. ordre |
| Hjemmelevering. Ordrer over 250 kr. | 19,95 kr. pr. ordre |
Bemærk venligst, at vi forbeholder os retten til at ændre i et fragtbeløb efter ordreafgivelse, hvis man som kunde har opnået en særlig fragtpris pga. køb for over 250 kr. og efterfølgende retter i sin ordre, så ordrebeløbet kommer under 250 kr. Ovenstående fragtpriser for ordrer under 250 kr. vil i så fald være gældende.
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