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  2. Statistical Learning Theory and Applications
The exhaustive list of topics in Statistical Learning Theory and Applications in which we provide Help with Homework Assignment and Help with Project is as follows:

  • Voting classifiers
  • Error of boosting
  • Support vector machines
  • Bernstein's inequality
  • Hoeffding
  • Hoeffding-Chernoff
  • Khinchine inequality
  • Vapnik-Chervonenkis
  • Symmetrization
  • Pessimistic VC inequality
  • Optimistic VC inequality
  • VC subgraph
  • Packing and covering numbers
  • Kolmogorov's chaining
  • Dudley's entropy integral
  • Convex hull
  • Uniform entropy
  • Error bound
  • Sparsity
  • Martingale-difference inequalities
  • Martingale inequalities
  • Neural networks
  • Kernel methods
  • Talagrand's convex-hull distance inequality
  • Talagrand's two-point inequality
  • Entropy tensorization technique
  • Stein's method