Paris - Hong Kong

DATA SCIENCES

High dim. data

  •  LSH: locality sensitive hashing, Clustering, dimensionality reduction

Graph data

  •  Pagerank/simrank, network analysis, spam detection,
  •   including graph clustering

Inifinite data

  •  Filtering data streams, queries on streams

Libraries of powerful algorithms

  •  Machine learning (SVM, decisions trees, perceptron, kNN)
  •  Weak signals
  •  Natural Language Processing
  •  Expert systems ( including backward chaining, rules recognition…)
  •  Pattern detection & matching
  •  Time series
  •  Sparse matrix
  •  Feature engineering
  •  Model selection & “Ensemble” algo

Technical Architecture & performance  optimization for big Volumes