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  • a PR3144
    a PR3144

    a PR3144

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    2a Liver and GI

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    Pharmacy Biostatistics

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  • ACIT4630 - ML/DL
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    ML-01 - ML-01-Introduction and linear regression, ML-02 - Logistic regression & classification, ML-03 - Regularization in regression...
    18
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  • PR3144 Principles of Research Methods
    PR3144 Principles of Research Methods

    PR3144 Principles of Research Methods

    By: Matthew Tan
    L01 Introduction to Research & Scientific Methods, L02 Developing Research Questions & Study Plan, L05 Descriptive & Inferential Statistics...
    14
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  • EPI PR3144
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    EPI PR3144

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  • Statistics
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    12
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  • Business Analytics
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    By: Andreas Hein
    Chapter 1: Introduction, Chapter 2: Statistics Revisited, Tutorial 2: Statistics...
    11
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  • Research Method
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    Research Method

    By: mette frost
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    16
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  • Probability for ML
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    Probability for ML

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  • Advanced Statistics & Data Analysis
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    Advanced Statistics & Data Analysis

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    Introduction (Recap), Linear Regression, Multiple Regression...
    11
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  • Epidemiology
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    Epidemiology

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    Measures of Association, Surveillance and Trends, Standardization and Life Tables...
    13
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  • Machine Learning
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    Machine Learning

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    Einführung ins Maschinelle lernen, Probability Theory, Linear Regression...
    12
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  • DAPR 2
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    DAPR 2

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    18
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  • Natural Language Processing
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    Natural Language Processing

    By: Simon Sardorf
    Lecture 5 - Relation Extraction & Question Answering, Lecture 3: Text Classification & Naive Bayes, Lecture 6 - Dialog Systems and Chatbots - Conversational Agents...
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    M3 - Hypotheses, M4 - Quantitaive Research, M5 - Research Design...
    22
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    Data Science & Big Data Analytics

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    01. Introduction to Big Data Analytics, 12. The Endgame, or Putting It All Together, 11. SQL Essentials & Advanced...
    14
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    231
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  • Statistical Modelling
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    Statistical Modelling

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    Key Concepts, Study Design, Correlation and Simple linear regression...
    11
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    378
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  • IAML
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    IAML

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    Principal Components Analysis, Nearest Neighbour, Logistic Regression...
    11
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    231
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    Y1S2_IT1244

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    12
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  • Statistics for ML
    Statistics for ML

    Statistics for ML

    By: Ozzy Campos
    Core Probability & Random Variables, Common Distributions, Expectation, Variance, and Covariance...
    14
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    568
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  • Basic Stats
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    Basic Stats

    By: Amelia Jasinski
    Week 1: Exploratory Data Analysis & Basic Statistics, Week 2: Normal Distribution, Inference, and Confidence Intervals, Week 3: Hypothesis Testing and Significance...
    11
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    310
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  • EPI Empirical research
    EPI Empirical research

    EPI Empirical research

    By: Birwe Leon
    M3 - Hypotheses, M4 - Quantitaive Research, M5 - Research Design...
    22
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  • Marketing Analytics
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    Marketing Analytics

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    2: Consumer and Consumer Analytics: Analyzing and Predicting preferences and Choice, Important 2: Logistic Regression and Multinominal Logit Models, 3_1: Market Analytics: Analysing and Predicting aggregated Demand and Competiton...
    9
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  • Statistics PSY3048
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    Statistics PSY3048

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    W1: Multiple Linear Regression, W2: Logistic Regression, W3: Tests of Association...
    10
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    324
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  • Prediction Modelling
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    Prediction Modelling

    By: Naomi L
    Introduction Class Part 1, Introduction Class 2, GLM 1 - Simple linear regression...
    13
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    343
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  • Quanti I
    Quanti I

    Quanti I

    By: Nicole Geist
    What is in a dataset?, Statistical modelling, How to organize data work...
    7
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    149
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    1
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