Price: $99.99 – $69.09
(as of Nov 25,2024 07:46:36 UTC – Details)
Publisher : Springer (August 17, 2006)
Language : English
Hardcover : 738 pages
ISBN-10 : 0387310738
ISBN-13 : 978-0387310732
Item Weight : 2.31 pounds
Dimensions : 7.7 x 1.3 x 10.2 inches
Customers say
Customers find the book extremely helpful in understanding theory. They appreciate the fantastic insights and breadth of knowledge the author has accumulated into one text. However, some readers feel the math used throughout the book is quite difficult and boring. Opinions are mixed on readability, with some finding it succinct and clear, while others say it’s unreadable and annoying.
AI-generated from the text of customer reviews
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern recognition and machine learning are two closely related fields that play a crucial role in the advancement of information science and statistics. These disciplines focus on the development of algorithms and models that can automatically detect patterns and make predictions based on data.
In pattern recognition, the goal is to identify and classify patterns in data, such as images, signals, or text. This can involve tasks such as image recognition, speech recognition, and natural language processing. Machine learning, on the other hand, is concerned with developing algorithms that can learn from data and make predictions or decisions without being explicitly programmed.
The intersection of pattern recognition and machine learning has led to significant advancements in various fields, including computer vision, speech recognition, and data mining. By leveraging the power of statistical analysis and computational algorithms, researchers and practitioners can extract valuable insights from large and complex datasets.
In the realm of information science and statistics, pattern recognition and machine learning are essential tools for analyzing and interpreting data. These techniques enable researchers to uncover hidden patterns, trends, and relationships in data, which can ultimately lead to more informed decision-making and improved outcomes.
Overall, pattern recognition and machine learning are at the forefront of innovation in information science and statistics. By harnessing the power of data and algorithms, researchers and practitioners can unlock new possibilities and drive advancements in various fields.
#Pattern #Recognition #Machine #Learning #Information #Science #Statistics
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