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  • CS7643 - Deep Learning
    CS7643 - Deep Learning

    CS7643 - Deep Learning

    By: Megan Aldridge
    Quiz 1 - Linear Classifiers, Gradient Descent, Neural Networks, Quiz 2 - Optimization, CNN, Quiz 3 - CNN Architecture, Visualization, Advanced CV Architecture...
    5
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    402
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    720
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  • B - CS7643 - Deep Learning
    B - CS7643 - Deep Learning

    B - CS7643 - Deep Learning

    By: Hugo Tdn
    Quiz 1 - Linear Classifiers, Gradient Descent, Neural Networks, Quiz 2 - Optimization, CNN, Quiz 3 - CNN Architecture, Visualization, Advanced CV Architecture...
    5
    Decks
    402
    Flashcards
    17
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  • Data Mining and Machine Learning
    Data Mining and Machine Learning

    Data Mining and Machine Learning

    By: Byron OG
    Evaluation Metrics, Classification, Support Vector Machines...
    10
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    311
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    8
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  • Machine Learning
    Machine Learning

    Machine Learning

    By: Michael Bass
    What is machine learning, Supervised learning, Unsupervised learning...
    10
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    171
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    2
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  • Machine learning
    Machine learning

    Machine learning

    By: Sindhusha Boyapati
    Linear algebra, Linear Algebra Technical, Linear regression...
    6
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    182
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    1
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  • Machine learning Udemy
    Machine learning Udemy

    Machine learning Udemy

    By: Amrithesh K
    Introduction, Linear regression, Optimisation and gradient descent algorithm...
    4
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    110
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    1
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  • Data Science
    Data Science

    Data Science

    By: Phillip Eismark
    What is Data Science, Working With Data, Statistics...
    11
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    168
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    11
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  • Machine Learning
    Machine Learning

    Machine Learning

    By: Simon Sardorf
    Lecture 1: Fundamentals of Statistics: Probability and Distribution, Lecture 2 - Introduction to Machine Learning, Lecture 3 - Unsupervised Machine Learning...
    12
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    385
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    78
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  • Machine learning
    Machine learning

    Machine learning

    By: Mouez Khelifi
    Perceptron, K-NN, SVM...
    14
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    71
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    2
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  • ML
    ML

    ML

    By: Linda Caro
    ! Session 1 & 2: Intro, ! Session 2: Pre-Processing & EDA, ! Supervised Learning: Regression...
    13
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    262
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    2
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  • Learning from Data
    Learning from Data

    Learning from Data

    By: Jason Swift
    L1 - Data Characteristics, Data Integration, Learning from data, Supervised Learning, Linear Regression...
    24
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    366
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    2
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  • Machine Learning Combined
    Machine Learning Combined

    Machine Learning Combined

    By: Todd Brackman
    Lecture 1: Fundamentals of Statistics: Probability and Distribution, Lecture 2 - Introduction to Machine Learning, Lecture 3 - Unsupervised Machine Learning...
    13
    Decks
    409
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    21
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  • Algorithms that changed the world
    Algorithms that changed the world

    Algorithms that changed the world

    By: Jason Swift
    PageRank, L3 - Internet Routing, L4 - Internet Routing 2...
    17
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    247
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    6
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  • convex optimisation
    convex optimisation

    convex optimisation

    By: Jasper D
    background info, intro, unconstrained optimisation...
    9
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    196
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    2
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  • DSC 40A
    DSC 40A

    DSC 40A

    By: Stephanie Yue
    empirical risk, probability / gradient descent
    2
    Decks
    105
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    1
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  • COMP3611 - Machine Learning
    COMP3611 - Machine Learning

    COMP3611 - Machine Learning

    By: Henry Triff
    Classification and Machine Learning Evaluation, Nearest Neighbours, Perceptron...
    17
    Decks
    269
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    3
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  • EE2211
    EE2211

    EE2211

    By: Abigail Wilkins
    lecture 1: introduction to machine learning, lecture 2: data engineering, lecture 3: intro to probability and statistics...
    12
    Decks
    148
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    8
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  • MA9070 - Simulation and Machine Learning for Finance
    MA9070 - Simulation and Machine Learning for Finance

    MA9070 - Simulation and Machine Learning for Finance

    By: Dylan Ottey
    Notebook 1/2, Notebook 3, Notebook 4...
    32
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    959
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    1
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  • ANN
    ANN

    ANN

    By: Dawit Asfaha
    ANN Lecture 1 & 2 - Introduction and Multi Layer Perceptron, ANN Lecture 3 - Backpropagation and Gradient Descent, ANN Lecture 5 - Convolutional Neural Networks...
    7
    Decks
    92
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    6
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  • Statistics Method For ML
    Statistics Method For ML

    Statistics Method For ML

    By: Claudio Saponaro
    SM for ML, Intro, Working With Data...
    8
    Decks
    87
    Flashcards
    1
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  • Learning Algorithms
    Learning Algorithms

    Learning Algorithms

    By: Mahsa Zamanifard
    Chapter 4 Parametric and Nonparametric Machine Learning Algorithms, Chapter 5 Supervised, Unsupervised and Semi-Supervised Learning, Chapter 6 The Bias-Variance Trade-Off...
    13
    Decks
    62
    Flashcards
    1
    Learner
  • Interview
    Interview

    Interview

    By: Henry Ye
    AWS MLE, AWS LPs, ML: Linear Algebra...
    17
    Decks
    483
    Flashcards
    1
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  • Machine Learning
    Machine Learning

    Machine Learning

    By: Brandon Reinhart
    Linear Gradient Descent, Reinforcement Learning
    2
    Decks
    16
    Flashcards
    1
    Learner
  • CC
    CC

    CC

    By: Nora Hora
    Gradient Descent, Hopfield Nets and BMs, Backprop...
    4
    Decks
    44
    Flashcards
    1
    Learner
  • Gervigreind
    Gervigreind

    Gervigreind

    By: Sigríður Birna Matthíasdóttir
    Python Numpy Totorial, Supervised vs Unsupervised Machine Learning, Regression Model...
    6
    Decks
    55
    Flashcards
    1
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  • Algorithms and Data Structures
    Algorithms and Data Structures

    Algorithms and Data Structures

    By: Waqee Zaman
    Linear Programming, Topological Sort, Representing Graphs...
    12
    Decks
    35
    Flashcards
    1
    Learner
  • Data Science from Scratch with Python
    Data Science from Scratch with Python

    Data Science from Scratch with Python

    By: Thomas Reinecke
    Python Basics for Data Science, Statistics, Probability...
    16
    Decks
    84
    Flashcards
    1
    Learner
  • NTNU - Intro ML
    NTNU - Intro ML

    NTNU - Intro ML

    By: Kevin M
    Veiledet læring - logisyisk regresjon, Gradient descent, Øving 1...
    34
    Decks
    685
    Flashcards
    1
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  • Stanford Machine Learning Specialization - Supervised Learning
    Stanford Machine Learning Specialization - Supervised Learning

    Stanford Machine Learning Specialization - Supervised Learning

    By: Marian Ratajczak
    Supervised vs Unsupervised Machine Learning, Regression Model and Terminology, Vectorization...
    11
    Decks
    102
    Flashcards
    1
    Learner
  • PSY213
    PSY213

    PSY213

    By: Emily C Booth
    Emergence, Complexity, Synthetic Psychology...
    10
    Decks
    31
    Flashcards
    1
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