Advanced lectures on machine learning
Shahar Mendelson
Reading Time
at 250 WPM4h 26m
The average reader, reading at a speed of 250 WPM, would take 4h 26m to read Advanced lectures on machine learning.
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9
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266
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Advanced lectures on machine learning
by Shahar Mendelson, Alexander J. Smola
Published
2003
Publisher
Springer London, Limited
Pages
266
ISBN-13
9783540364344
Description
Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a Summer School was held on February 11–22, 2002 at the Australian National University. The current book contains a collection of the main talks held during those two weeks in February, presented as tutorial chapters on topics such as Boosting, Data Mining, Kernel Methods, Logic, Reinforcement Learning, and Statistical Learning Theory. The papers provide an in-depth overview of these exciting new areas, contain a large set of references, and thereby provide the interested reader with further information to start or to pursue his own research in these directions. Complementary to the book, a recorded video of the presentations during the Summer School can be obtained at http://mlg. anu. edu. au/summer2002 It is our hope that graduate students, lecturers, and researchers alike will ?nd this book useful in learning and teaching Machine Learning, thereby continuing the mission of the Summer School. Canberra, November 2002 Shahar Mendelson Alexander Smola Research School of Information Sciences and Engineering, The Australian National University Thanks and Acknowledgments We gratefully thank all the individuals and organizations responsible for the success of the workshop.
Subjects
Frequently Asked Questions
How many pages are in Advanced lectures on machine learning?
This edition of Advanced lectures on machine learning has approximately 266 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Advanced lectures on machine learning?
For most readers, Advanced lectures on machine learning typically takes between 5h 33m and 3h 42m to complete. This is based on the book's length of approximately 66,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 26m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 9 days • Estimated word count: 66,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Advanced lectures on machine learning?
The estimated word count for Advanced lectures on machine learning is approximately 66,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Advanced lectures on machine learning?
Advanced lectures on machine learning was written by Shahar Mendelson, Alexander J. Smola.
When was Advanced lectures on machine learning published?
The publication date for this specific edition is 2003. The original work may have been published on a different date.