opencampus.sh Machine Learning Program
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  • opencampus.sh Machine Learning Program
  • Course Kick-Off
  • How do I choose a course?
  • FAQ
  • Courses
    • Introduction to Data Science and Machine Learning
    • Machine Learning with TensorFlow
    • Intermediate Machine Learning
    • From LLMs to AI Agents🤖
    • Advanced Time Series Prediction
      • Requirements for a Certificate of Achievement or ECTS
      • Projects & Frameworks
      • Lecture material + YouTube
      • References / Books
      • Week 1 - Intro + Organisation
      • Week 2 - SARIMA(X) + GARCH-Models
      • Week 3 - Labour Day
      • Week 4 - State-Space models // Filtering
      • Week 5 - Dependence concepts: Copula // Gaussian Processes // RMT
      • Week 6 - Extremes // Anomalies // Signatures
      • Week 7 - Tree models: XGBoost // LightGBM // CatBoost
      • Week 8 - (Deep) recurrent architectures for time series data
      • Week 9 - Transformers + TemporalFusionTransformers
      • Week 10 - NBEATS(x) + NHITS
      • Week 11 - LLM for time series problems
      • Week 12 - Final Presentations
      • Week 13 - Final Presentations (Back-Up)
    • Python: Beginner to Practitioner
    • Fine-Tuning and Deployment of Large Language Models
    • Archive
  • Events
    • Coding.Waterkant 2023
    • Prototyping Week
  • Course Projects
    • Choosing a Project
    • How to Start, Complete, and Submit Your Project
  • Additional Resourses
    • Glossary
    • Coursera
    • Selecting the Optimizer
    • Choosing the Learning Rate
    • Learning Linear Algebra
    • Learning Python
    • Support Vector Machines
    • ML Statistics
  • Tools
    • Git
    • RStudio
    • Google Colab
    • Zoom
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  1. Courses
  2. Advanced Time Series Prediction

Week 8 - (Deep) recurrent architectures for time series data

Continue working on your semester project !!!

LogoTransformers Explained Visually (Part 1): Overview of Functionality | Towards Data ScienceTowards Data Science
Logoapp_deep_learning/t81_558_class_10_1_timeseries.ipynb at main · jeffheaton/app_deep_learningGitHub
https://www.youtube.com/watch?v=viZrOnJclY0
https://www.youtube.com/watch?v=L8HKweZIOmg
https://www.youtube.com/watch?v=PSs6nxngL6k
https://www.youtube.com/watch?v=RZQJk0hf3sI
https://www.youtube.com/playlist?list=PLmZlBIcArwhOPR2s-FIR7WoqNaBML233s

OPTIONAL:

https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

PreviousWeek 7 - Tree models: XGBoost // LightGBM // CatBoostNextWeek 9 - Transformers + TemporalFusionTransformers

Last updated 1 year ago

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