machine learning theoretical project
$30-250 USD
Kulipwa wakati wa kujifungua
topic/materical included are:
From over-fitting to apparently complex methods which can work well, such as VC dimension and shattering sets.
PAC bounds. Loss functions. Risk (in the learning theoretic sense) and posterior expected risk. Generalisation error.
Supervised, unsupervised and semi-supervised learning.
The use of distinct training, test and validation sets, particularly in the context of prediction problems.
The Bootstrap revisited. Bags of Little Bootstraps. Bootstrap aggregation. Boosting.
Big Data and Big Model – issues and (partial) solutions:
The “curse of dimensionality”. Multiple testing; voodoo correlations, false-discovery rate and family-wise error rate. Corrections: Bonferroni, Benjamini-Hochberg.
Sparsity and Regularisation. Variable selection; regression. Spike and slab priors.
VC dimension
Inequalities (hoeffding,Chernoff bound), concentration inequalities.
Ridge Regression. The Lasso. The Dantzig Selector.
Concentration of measure and related inferential issues.
Metropolis hastings, gibbs sampling
MCMC in high dimensions – preconditioned Crank Nicholson; MALA, HMC. Preconditioning. Rates of convergence.
Kitambulisho cha Mradi: #29856715
Kuhusu mradi
8 wafanyakazi huru wanazabuni wastani wa $207 kwa kazi hii
Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav Zaidi
Hi. How are you? I am very familar with the pattern recognition. I have 5+ years experienced in machine learning such as support vector machine, artificial neural network, clustering, genetic algorithm etc. I have dev Zaidi
Hello sir / maam, i can do this task properly, slot but sure lets talk in DM to discuss ur issue thanks in advance
experienced in R python and different MLtechniques, which wil help to give accurate results needed for your project