Mark Plutowski

Data Professional
Instructor
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About Mark Plutowski

Has 20 years experience in data-driven analysis and machine learning development. Mark has a Ph.D in Computer Science from UCSD and a Master of Science in Electrical and Computer Engineering from USC. Mark worked at IBM, Sony, and Netflix generating 29 patents. Mark is an experienced educator, having published courseware on multiple online learning platforms.

Publications include:

  • Neural Information Processing Systems (NIPS)
  • Neural Networks Journal
  • IEEE Transactions on Neural Networks

 

Patents include:

  • Relating media objects consumed in different mediums
  • Dynamic web service composition to service a user request
  • An itinerary planner
  • Displaying artists related to an artist of interest
  • Invariant clustering of categorical data 
  • Sorting media objects by similarity 
  • Clustering and classification of multimedia data
  • Augmented dataset representation using a taxonomy which accounts for similarity and dissimilarity between each record in the dataset and a user's similarity-biased intuition 
  • Ordering artists by overall degree of influence
  • Seed Based Clustering of Categorical Data
  • Dimensionality reduction for content category data
  • Using a community generated web site for metadata
  • A routing agent
  • Combining plurality of input control policies to provide a compositional output control policy
  • Predicting web browsing behavior
  • Emulating web site traffic to identify web site usage patterns 
  • Association rule ranker for web site emulation

Work

Netflix, IBM, Sony, Flipboard, Rockwell

Education

Ph.D in Computer Science and Econometrics from UCSD; Master of Science in Electrical and Computer Engineering from USC
Classes Instructed by Mark Plutowski
Learn how to use Spark.ML and Python for machine learning.
Type:
Online Class
Duration:
3 hours 12 minutes
Included:
17 videos and 4 documents
Level:
Intermediate
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