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Download the fantastic book titled Learning from Data written by Yaser S. Abu-Mostafa, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Learning from Data", which was released on 01 January 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Machine learning genre.

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Learning from Data

Detail About Learning from Data PDF

  • Author : Yaser S. Abu-Mostafa
  • Publisher : Anonim
  • Genre : Machine learning
  • Total Pages : 201 pages
  • ISBN : 9781600490064
  • PDF File Size : 13,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Learning from Data

Learning from Data
  • Publisher : John Wiley & Sons
  • File Size : 28,7 Mb
  • Release Date : 10 September 2007
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An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It

The Art of Statistics

The Art of Statistics
  • Publisher : Penguin UK
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  • Release Date : 28 March 2019
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'A statistical national treasure' Jeremy Vine, BBC Radio 2 'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de

Utility-Based Learning from Data

Utility-Based Learning from Data
  • Publisher : CRC Press
  • File Size : 39,8 Mb
  • Release Date : 19 April 2016
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Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment.

Linear Algebra and Learning from Data

Linear Algebra and Learning from Data
  • Publisher : Wellesley-Cambridge Press
  • File Size : 30,6 Mb
  • Release Date : 31 January 2019
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Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the

The Big R-Book

The Big R-Book
  • Publisher : John Wiley & Sons
  • File Size : 52,6 Mb
  • Release Date : 27 October 2020
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Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools

Recent Trends in Learning From Data

Recent Trends in Learning From Data
  • Publisher : Springer Nature
  • File Size : 27,5 Mb
  • Release Date : 03 April 2020
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This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and

R for Data Science

R for Data Science
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 33,7 Mb
  • Release Date : 12 December 2016
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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed

Targeted Learning in Data Science

Targeted Learning in Data Science
  • Publisher : Springer
  • File Size : 20,7 Mb
  • Release Date : 28 March 2018
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This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap

Machine Learning for Data Streams

Machine Learning for Data Streams
  • Publisher : MIT Press
  • File Size : 52,8 Mb
  • Release Date : 09 May 2023
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A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including