Machine Learning
Sergios Theodoridis
Reading Time
at 250 WPM17h 42m
The average reader, reading at a speed of 250 WPM, would take 17h 42m to read Machine Learning.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
36
days at 30 min/day
1062
total minutes
Machine Learning
Published
2015
Publisher
Elsevier Science & Technology Books
Pages
1062
ISBN-13
9780128017227
Description
"This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches--which are based on optimization techniques--together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models"--Publisher's website.
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?
This edition of Machine Learning has approximately 1062 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?
For most readers, Machine Learning typically takes between 22h 8m and 14h 45m to complete. This is based on the book's length of approximately 265,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 17h 42m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 36 days • Estimated word count: 265,500 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 Machine Learning?
The estimated word count for Machine Learning is approximately 265,500 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 Machine Learning?
Machine Learning was written by Sergios Theodoridis.
When was Machine Learning published?
The publication date for this specific edition is 2015. The original work may have been published on a different date.