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Machine learnin Study guides, Class notes & Summaries

Looking for the best study guides, study notes and summaries about Machine learnin? On this page you'll find 396 study documents about Machine learnin.

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Machine Learning A Bayesian and Optimization Perspective, 2e Sergios Theodoridis (Solution Manual)

  • Machine Learning A Bayesian and Optimization Perspective, 2e Sergios Theodoridis (Solution Manual)

  • Exam (elaborations) • 263 pages • 2023
  • Machine Learning A Bayesian and Optimization Perspective, 2e Sergios Theodoridis (Solution Manual) Machine Learning A Bayesian and Optimization Perspective, 2e Sergios Theodoridis (Solution Manual)
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Cheat Sheet and Summary Machine Learning

  • Cheat Sheet and Summary Machine Learning

  • Package deal • 2 items • 2023
  • Cheat Sheet and Summary of Machine Learning. Summary contains all the information of the lectures. Cheat Sheet contains all the relevant information for the exam, every answer could be answered with it. Cheat Sheet is tested on the campus printers.
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Introduction to Machine Learning 4th Edition Alpaydin Solutions Manual

  • Introduction to Machine Learning 4th Edition Alpaydin Solutions Manual

  • Exam (elaborations) • 121 pages • 2022
  • Introduction to Machine Learning 4th Edition Alpaydin Solutions Manual
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Introduction to Machine Learning (100% correct answers)

  • Introduction to Machine Learning (100% correct answers)

  • Exam (elaborations) • 5 pages • 2023
  • Available in package deal
    • What is Machine Learning? correct answers Machine Learning is the study towards algorithms and statistical models that computers use to perform tasks without using explicit instructions. What is connectionist AI? correct answers Connectionist AI, represent information through a distributed, less explicit form with a network. Biological processes underlying learning, task performance, and problem solving are imitated. This in contrast to symbolic AI, that represent information through symbols ...
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APML Summary - Applications of Machine Learning

  • APML Summary - Applications of Machine Learning

  • Summary • 23 pages • 2024
  • Summary of the APML course for information science on UU
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Summary Machine Learning (880083-M-6)

  • Summary Machine Learning (880083-M-6)

  • Summary • 16 pages • 2022
  • Available in package deal
    • Detailed summary of all lectures and additional notes, explanations and examples for the course "Machine Learning" at Tilburg University which is part of the Master Data Science and Society. Course was given by Ç. Güven during the second semester, block four of the academic year 2021 / 2022 (April to June 2022).
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Introduction to Machine Learning 4th Edition Alpaydin Solutions Manual.pdf

  • Introduction to Machine Learning 4th Edition Alpaydin Solutions Manual.pdf

  • Exam (elaborations) • 121 pages • 2022
  • Introduction to Machine Learning 4th Edition Alpaydin Solutions Manual
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Cheatsheets for Data Mining and Machine Learning courses

  • Cheatsheets for Data Mining and Machine Learning courses

  • Summary • 4 pages • 2024
  • The file contains cheatsheet materials for two M.Sc. DSS core courses, Data Mining for Business & Gov. (880022-M-6) and Machine Learning (880083-M-6). Both cheatsheets have been tested on multiple mock exams as well as used successfully in the actual exams. Includes python codes for Machine Learning. Some information overlaps due to it being covered in both courses.
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Cheat Sheet for Machine Learning (880083-M-6)

  • Cheat Sheet for Machine Learning (880083-M-6)

  • Other • 2 pages • 2022
  • Available in package deal
    • Cheat Sheet with all necessary information to pass the exam of "Machine Learning (-M-6)" at Tilburg University. The course is part of the Master Data Science and Society. It was taught in the academic year 2021/2022 in semester 2, block 4 (April to June 2022) by Ç. Güven. The margins on the page are printer friendly and work well for the printers on Tilburg University campus.
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Summary Machine Learning - All Lecture Notes (1-13)

  • Summary Machine Learning - All Lecture Notes (1-13)

  • Summary • 18 pages • 2022
  • Lectures 1 to 13 summarised > everything you need to know for the exam!
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