Machine Learning for Signal Processing. Data Science, Algorithms, and Computational Statistics, Hardback - Max A. Little

Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, t...

DescriptionLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document cla...

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods a...

DescriptionStatistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze co...

Machine Learning: The Art and Science of Algorithms that Make Sense of Data - Peter Flach

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If you are looking to master the fundamental concepts of Data Science driven by the Python programming language to develop a solid understanding of...

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With a machine learning approach and less focus on linguistic details, this natural language processing textbook introduces the fundamental mathema...

Publisher: Elsevier Science & TechnologyNumber of pages: 264Collection: Cognitive Data Science in Sustainable ComputingPublication date: 2022Dimens...

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The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and pract...

This first all-inclusive account of statistical signal processing for improper and noncircular complex signals provides the tools and algorithms ne...

Reducere. DescriptionGain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins...

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DescriptionSelf-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you ...

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Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developer...

DescriptionThis book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those usin...

"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building bl...

DescriptionBuild machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business ...

Publisher: Elsevier Science Publishing Co IncNumber of pages: 398Collection: Cognitive Data Science in Sustainable ComputingPublication date: 2021D...

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This cutting-edge resource introduces the basic concepts of passive bistatic radar, such as bistatic geometry, bistatic radar equation and analysis...

Reducere. Contributor(s): Author: Steven FinlayArtificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied ac...

DescriptionProbability and Statistics for Data Science: Math + R + Data covers "math stat"--distributions, expected value, estimation etc.--but tak...