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le_james94

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  1. Rodeo – AI that watches your video library and assembles rough cuts from a brief (tryrodeo.io)
    3 points 0
  2. Marengo 3.0: A Production-Grade Video Foundation Model from TwelveLabs (twelvelabs.io)
    2 points 2
  3. Basics of Data Integration (jameskle.com)
    1 points 0
  4. Components Towards Building Production-Ready Machine Learning Systems (jameskle.com)
    2 points 0
  5. Variants of Matrix Factorization for Collaborative Filtering (jameskle.com)
    1 points 0
  6. Basics of Data Cleaning (jameskle.com)
    2 points 0
  7. Exploring Itemset Mining (jameskle.com)
    3 points 0
  8. Clustering Algorithms Explained (jameskle.com)
    2 points 0
  9. Basics of Decision Trees (jameskle.com)
    2 points 0
  10. Distributed Data Processing (jameskle.com)
    1 points 0
  11. Troubleshooting Deep Neural Networks (jameskle.com)
    1 points 0
  12. Operationalize Data Science Projects in the Real World (jameskle.com)
    3 points 0
  13. Open-Source Data Science for Business Leaders (jameskle.com)
    1 points 0
  14. Running an effective data science POC (jameskle.com)
    2 points 0
  15. Concepts in Data Management (jameskle.com)
    2 points 0
  16. Machine Learning Teams (jameskle.com)
    3 points 0
  17. Set Up Machine Learning Projects (jameskle.com)
    2 points 0
  18. Deep Learning Infrastructure at Scale (jameskle.com)
    4 points 0
  19. Research Directions for Recommendation Systems (jameskle.com)
    2 points 0
  20. Categories of deep recommendation systems (jameskle.com)
    148 points 37
  21. An Executive Guide to Building Recommendation System (jameskle.com)
    3 points 0
  22. A Friendly Introduction to Data-Driven Marketing Business Leaders (jameskle.com)
    2 points 0
  23. What I Learned from Attending All Tech Is Human NYC 2019 (jameskle.com)
    1 points 0
  24. The 4 Steps To Build Out Your Machine Learning Team Productively (jameskle.com)
    3 points 0
  25. Steps to Set Your Machine Learning Projects Up for Success (jameskle.com)
    2 points 0