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  • The Barbara K. Ostrom (1978) Bioinformatics and Computing Facility
  • Computing Resources
  • Bioinformatics Topics
  • Data Management
  • Mini Courses
    • Schedule
    • Introduction to Unix and KI Computational Resources
    • Introduction to Unix
    • Advanced Utilization of IGB Computational Resources
    • Python
      • Introduction to Python for Biologists
      • Biopython
      • Machine Learning with Python
        • About Machine Learning
        • Hands-On
          • Project Introduction
          • Supervised Approaches
          • Unsupervised Approaches
          • Further Resources
      • Data Processing with Python
    • R
    • Version Control with Git
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  2. Pythonchevron-right
  3. Machine Learning with Pythonchevron-right
  4. Hands-On

Further Resources

StatQuest with Josh Starmerarrow-up-right

6S19|Introduction to Deep Learning@MITDeepLearningarrow-up-right

DragoNN:a toolkit to teach and learn about deep learning for genomicsarrow-up-right

Machine Learning with Python: from Linear Models to Deep Learningarrow-up-right

scikit-learnarrow-up-right

PyTorcharrow-up-right

fast.aiarrow-up-right

PreviousK-Means Clusteringchevron-leftNextData Processing with Pythonchevron-right

Last updated 2 months ago

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MIT Resources

  • https://accessibility.mit.edu

Massachusetts Institute of Technology

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