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
      • Requirements for a Certificate of Achievement or ECTS
      • Preparation
      • Week 1 - General Introduction
      • Week 2 - Introduction to TensorFlow,Part I
      • Week 3 - Introduction to TensorFlow,Part II
      • Week 4 - Convolutional Neural Networks, Part I
      • Week 5 - Convolutional Neural Networks, Part II
      • Week 6 - Natural Language Processing, Part I
      • Week 7 - Natural Language Processing, Part II
      • Week 8 - Project Work
      • Week 9 - Sequences, Time Series and Prediction, Part I
      • Week 10 - Sequences, Time Series and Prediction, Part II
      • Week 11 & 12 - Presentation of the Final Projects
    • Intermediate Machine Learning
    • From LLMs to AI Agents🤖
    • Advanced Time Series Prediction
    • 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

Machine Learning with TensorFlow

Requirements for a Certificate of Achievement or ECTSPreparationWeek 1 - General IntroductionWeek 2 - Introduction to TensorFlow,Part IWeek 3 - Introduction to TensorFlow,Part IIWeek 4 - Convolutional Neural Networks, Part IWeek 5 - Convolutional Neural Networks, Part IIWeek 6 - Natural Language Processing, Part IWeek 7 - Natural Language Processing, Part IIWeek 8 - Project WorkWeek 9 - Sequences, Time Series and Prediction, Part IWeek 10 - Sequences, Time Series and Prediction, Part IIWeek 11 & 12 - Presentation of the Final Projects
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