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  • COSC102 Data Science Studio 1
    COSC102 Data Science Studio 1

    COSC102 Data Science Studio 1

    By: Emily Nilsen
    Chapter 1 - Hands-on machine learning, General software, Python
    19
    Decks
    358
    Flashcards
    45
    Learners
  • Parasitology
    Parasitology

    Parasitology

    By: vanessa johansen
    Lab 2 - Trypanosomosis, leishmaniosis, giardiosis, trichomonosis, histomonosis, Lab 3 - Investigation of coccidia, coccidiosis of chicken, goose, Lab 4 - Coccidiosis of Cattle, Rabbit, Pig and Carnivores
    16
    Decks
    688
    Flashcards
    12
    Learners
  • IAF604
    IAF604

    IAF604

    By: Leena Godbole
    Final Exam, Random Forest, Dimensionality Reduction
    6
    Decks
    87
    Flashcards
    1
    Learner
  • Study
    Study

    Study

    By: Martin Matte
    ch 1 hands-on machine learning, General software, Python
    27
    Decks
    422
    Flashcards
    8
    Learners
  • DS
    DS

    DS

    By: Data Science
    Statistics, Machine Learning, Model Evaluation
    25
    Decks
    291
    Flashcards
    6
    Learners
  • FDSML
    FDSML

    FDSML

    By: Unknown Unknown
    Data Profiling, RFD, Data Integration
    16
    Decks
    79
    Flashcards
    1
    Learner
  • Terrestrial ecology
    Terrestrial ecology

    Terrestrial ecology

    By: Jack Preston
    16: Impacts of introduced ungulates and marsupials on New Zealand ecosystems, (kim) 17. Trophic cascades 'Masting', (kim) 18. Trophic cascades 2: Small mammal dynamics in Beech Forests
    15
    Decks
    167
    Flashcards
    11
    Learners
  • Kaggle Machine Learning
    Kaggle Machine Learning

    Kaggle Machine Learning

    By: Jason Isberto
    Model Validation, Underfitting and Overfitting, Random Forests
    3
    Decks
    21
    Flashcards
    1
    Learner
  • Advances in data mining
    Advances in data mining

    Advances in data mining

    By: Nils-Martin Robeling
    1.Introduction, 2.Recommender systems, 3.Similarity
    9
    Decks
    71
    Flashcards
    2
    Learners
  • -AI
    -AI

    -AI

    By: john simerlink
    Transformers, Large Language Models, Misc
    32
    Decks
    261
    Flashcards
    4
    Learners
  • Machine Learning
    Machine Learning

    Machine Learning

    By: Sumeet Srivastava
    SVM, PCA, Random Forest
    8
    Decks
    50
    Flashcards
    1
    Learner
  • 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
    Flashcards
    6
    Learners
  • Ace the data science interview
    Ace the data science interview

    Ace the data science interview

    By: Daniel Conner
    Machine Learning, SUpervised Learning, Linear Regression
    19
    Decks
    167
    Flashcards
    3
    Learners
  • Machine Learning
    Machine Learning

    Machine Learning

    By: Sophie West
    3. VC-Dim, PCA, ICA, Efficient Coding, Random Forest, Deep Learning
    9
    Decks
    90
    Flashcards
    2
    Learners
  • Financial Data Professional (FDP Q2'22)
    Financial Data Professional (FDP Q2'22)

    Financial Data Professional (FDP Q2'22)

    By: Haiko Aragon
    Topic 1: Introduction to Data Science & Alternative Data, Topic 2: Machine Learning: Introduction to Algorithms, Topic 3: Machine Learning: Regression, Support Vector Machine & Time Series Models
    10
    Decks
    378
    Flashcards
    2
    Learners
  • STATS 202: Data Mining in R
    STATS 202: Data Mining in R

    STATS 202: Data Mining in R

    By: Chad Milando
    Chapter 2 - Statistical Learning, Chapter 3 - Linear Regression, Chapter 4 - Classification
    16
    Decks
    160
    Flashcards
    9
    Learners
  • 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
  • Machine Learning 1
    Machine Learning 1

    Machine Learning 1

    By: doppel sechs
    Bayesian Decision Theory, Parameter Estimation, Principal Component Analysis
    12
    Decks
    53
    Flashcards
    1
    Learner
  • Hands on Machine Learning with Tensorflow and Keras, 3rd Addition
    Hands on Machine Learning with Tensorflow and Keras, 3rd Addition

    Hands on Machine Learning with Tensorflow and Keras, 3rd Addition

    By: Thomas P O'Connor
    Chapter 1: The Machine Learning Landscape, Chapter 2: End-to-End Machine Learning Project, Chapter 3: Classification
    7
    Decks
    47
    Flashcards
    1
    Learner
  • Machine learning - Kaggle
    Machine learning - Kaggle

    Machine learning - Kaggle

    By: Joseph Sueke
    Lesson 1: How models work, Lesson 2: Basic data exploration, Lesson 3: Your first machine learning model
    6
    Decks
    26
    Flashcards
    1
    Learner
  • FDSML
    FDSML

    FDSML

    By: Francesco Sabia
    DATA MINING, CLASSIFICATION, TRAINING MODELS
    11
    Decks
    57
    Flashcards
    1
    Learner

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