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Machine Learning Project Management

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Machine learning is still very much in its infancy and as a result there aren't a whole lot of vetted paths for managing both the structure and timeline of projects. In this talk Ron Soferman of RSIP Vision discusses and outlines clearly the following components for effectively managing machine learning projects. - Defining Success - How to Form a Timeline - Pitfalls to Avoid - Which technologies to Use and Why Ron has decades of experience in the field and has worked on a number of projects from a wide range of clients. RSIP Vision provides Computer Vision and Image Processing consulting and algorithms for the broadest range of activity sectors: from precision agriculture to medical applications (cardiology, pulmonology, ophthalmology and others); from microscopy image analysis to OCR, semiconductors, classification and all kind of machine learning projects. Our engineers are experts in deep learning and in all the most advanced computer vision techniques.
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Text Comments (2)
Avhirup Chakraborty (2 months ago)
Quiet Informative
Macgyver (2 months ago)
Thank you!

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