black ribbon
  KKU e-Learning
  • Service Course
    Search for Courses Course Request
  • User manual
  • e-Learning Support
    Chat with admin Site and Privacy Policy
  • FAQs
  • Report
    รายงานสรุปความพึงพอใจการให้บริการระบบ KKU e-Learning ประจำปี 2569
  • English ‎(en)‎
    Bahasa Indonesia ‎(id)‎ English ‎(en)‎ Español - Internacional ‎(es)‎ Français ‎(fr)‎ Thai ‎(th)‎ Vietnamese ‎(vi)‎ ລາວ ‎(lo)‎ ဗမာစာ ‎(my)‎ 한국어 ‎(ko)‎ 日本語 ‎(ja)‎ 简体中文 ‎(zh_cn)‎
      Close
      Toggle search input
    • KKU Login | Social Login
    Course Sections
    Course Specific Links
    Universal Links
    MD847101
    Home
    Calendar
    Skip to main content

    MD847101 :: การวิเคราะห์ข้อมูลขนาดใหญ่ทางการแพทย์ (2/68)

    1. Home
    2. Courses
    3. Health Sciences
    4. MD847101
    5. Enrolment options

    Course Overview

    Price FREE
    Enrol Now
    Last Updated On 23 February 2026
    • 19 Students Enrolled
    • 45 Downloadable Resources

    Course Content

    • Start Date: 23/02/26
    • Category: Health Sciences

    General
    • AnnouncementsAnnouncements

    Final Project_2026
    • Final Projects: Big Data Analytics in MedicineFinal Projects: Big Data Analytics in Medicine
    • Final Project InstructionFinal Project Instruction

    Course reflection (5 %)
    • 2026_Course Evaluations: MD847101 Big Data Analytics in Medicine2026_Course Evaluations: MD847101 Big Data Analytics in Medicine

    Assignment 1: EDA + Supervised ML
    • Assignment 1: EDA + Supervised MLAssignment 1: EDA + Supervised ML

    Assignment 2: CNN
    • Assignment 2: CNNAssignment 2: CNN

    Big Data Analytics in Medicine_Course Oreintation
    • 2026_Big Data Analytics in Medicine_Course Oreintation2026_Big Data Analytics in Medicine_Course Oreintation

    Introduction to Big Data Analytics in Medicine
    • PPT - MD847101-Intro_to_Big_Data_Analytics_in_MedicinePPT - MD847101-Intro_to_Big_Data_Analytics_in_Medicine
    • Example python codes of ML modelsExample python codes of ML models
    • Quiz 1 - Introduction to Big Data Analytics in MedicineQuiz 1 - Introduction to Big Data Analytics in Medicine

    Exploratory Data Analysis
    • Exploratory Data Analysis_HanoutExploratory Data Analysis_Hanout
    • 2026_MD847101_Exploratory Data Analysis-Handout2026_MD847101_Exploratory Data Analysis-Handout
    • 2026_MD847101_Exploratory Data Analysis-Jupyter notebook2026_MD847101_Exploratory Data Analysis-Jupyter notebook
    • Handon-workshop datasetHandon-workshop dataset
    • Quiz_EDAQuiz_EDA

    Linear regression
    • R lm 2026-02-25R lm 2026-02-25
    • lact datasetlact dataset
    • Advertising Budget and SalesAdvertising Budget and Sales
    • lm 2026-02-25lm 2026-02-25
    • An Introduction to Statistical Learning - with Applications in R (2021)An Introduction to Statistical Learning - with Applications in R (2021)
    • Quiz_Linear RegressionQuiz_Linear Regression

    ML supervised learning: Classification

    • Handout_2026_Bigdata_MLclassificationHandout_2026_Bigdata_MLclassification
    • 2026_Big data_classification_Handout2026_Big data_classification_Handout
    • heart datasetheart dataset
    • 2026_Big data_classification_Handout_jupyternotebook2026_Big data_classification_Handout_jupyternotebook
    • Quiz_ML_ClassificationQuiz_ML_Classification

    ML Unsupervised learning
    • slideslide
    • PCAPCA
    • UMAPUMAP
    • t-SNEt-SNE
    • k-mean RMDk-mean RMD
    • PCA RMDPCA RMD
    • UMAP RMDUMAP RMD
    • t-SNE RMDt-SNE RMD
    • Quiz_Unsupervised MLQuiz_Unsupervised ML

    Deep Learning Fundamentals
    • Deep_Learning_Fundamentals_ANNDeep_Learning_Fundamentals_ANN
    • Example Source-code: Python NN - PyTorchExample Source-code: Python NN - PyTorch
    • Quiz_Deep Learning FundamentalsQuiz_Deep Learning Fundamentals

    Convolutional Neural Networks (CNNs) in Medical Imaging

    • Convolutional_Neural_Networks_CNNsConvolutional_Neural_Networks_CNNs
    • Sourcecode - CNNsSourcecode - CNNs
    • Quiz_CNNQuiz_CNN

    Object Detection (YOLO)
    • Object_detection_YOLOObject_detection_YOLO
    • Tutorial - Image AnnotationTutorial - Image Annotation
    • YOLO-Marker_x64.zipYOLO-Marker_x64.zip
    • Sourcecode - YOLO UltralyticsSourcecode - YOLO Ultralytics
    • Quiz_YOLOQuiz_YOLO

    Recurrent Neural Networks (RNNs) & NLP in Medicine

    • Quiz Recurrent Neural Networks (RNNs) & NLP in MedicineQuiz Recurrent Neural Networks (RNNs) & NLP in Medicine

    Introduction to low-code/no-code AI tools

    • CiRA CORE HandoutCiRA CORE Handout

    Ethical and Legal Considerations in Medical Big Data
    • filefile

    About the Instructor

    Picture of สมปอง จันทะคราม
    • 5632 Students
    • 19 Courses

    สมปอง จันทะคราม

    csompo

    สมปอง จันทะคราม
    Show More >>

    Enrolment options

    MD847101 :: การวิเคราะห์ข้อมูลขนาดใหญ่ทางการแพทย์ (2/68)

    • Teacher: นางสมปอง จันทะคราม
    • Teacher: นางพริญญ์ ถวิลไพร
    • Teacher: รศ.อนุพล พาณิชย์โชติ
    • Teacher: นพ. อนวัช รัชธร
    • Teacher: อ.ศุภโชค สอนศิลพงศ์
    • Teacher: รศ.วันชนะ สืบไวย
    • Teacher: อ.วรฉัตร เลิศอิทธิพร
    Skill Level: Beginner
    Guests cannot access this course. Please log in.
    Price FREE
    Enrol Now
    Last Updated On 23 February 2026
    • 19 Students Enrolled
    • 45 Downloadable Resources

      Course Features

    • Lectures17
    • Start Date23 Feb 2026
    • Skill level Beginner
    • Language English
    • Assessments Yes

    Tags

    No Tags.

    Follow Us

    • Service Course
      • Search for Courses
      • Course Request
    • User manual
    • e-Learning Support
      • Chat with admin
      • Site and Privacy Policy
    • FAQs
    • Report
      • รายงานสรุปความพึงพอใจการให้บริการระบบ KKU e-Learning ประจำปี 2569
    • English ‎(en)‎
      • Bahasa Indonesia ‎(id)‎
      • English ‎(en)‎
      • Español - Internacional ‎(es)‎
      • Français ‎(fr)‎
      • Thai ‎(th)‎
      • Vietnamese ‎(vi)‎
      • ລາວ ‎(lo)‎
      • ဗမာစာ ‎(my)‎
      • 한국어 ‎(ko)‎
      • 日本語 ‎(ja)‎
      • 简体中文 ‎(zh_cn)‎
    You are currently using guest access (Log in)
    Data retention summary
    Get the mobile app
    Policies