Machine Learning and Knowledge Discovery in Databases
Hendrik Blockeel
Reading Time
at 250 WPM11h 31m
The average reader, reading at a speed of 250 WPM, would take 11h 31m to read Machine Learning and Knowledge Discovery in Databases.
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Machine Learning and Knowledge Discovery in Databases
by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen
Published
2013
Publisher
Springer
Pages
691
ISBN-13
9783642409936
Description
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track.
Subjects
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Deep Learning
Artificial Intelligence and Intelligent Systems
Introduction to Machine Learning with Python
Machine learning
The Master Algorithm
Frequently Asked Questions
How many pages are in Machine Learning and Knowledge Discovery in Databases?
This edition of Machine Learning and Knowledge Discovery in Databases has approximately 691 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 Machine Learning and Knowledge Discovery in Databases?
For most readers, Machine Learning and Knowledge Discovery in Databases typically takes between 14h 24m and 9h 36m to complete. This is based on the book's length of approximately 172,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 11h 31m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 24 days • Estimated word count: 172,750 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 Machine Learning and Knowledge Discovery in Databases?
The estimated word count for Machine Learning and Knowledge Discovery in Databases is approximately 172,750 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 Machine Learning and Knowledge Discovery in Databases?
Machine Learning and Knowledge Discovery in Databases was written by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen.
When was Machine Learning and Knowledge Discovery in Databases published?
The publication date for this specific edition is 2013. The original work may have been published on a different date.