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ai-berkley-pacman

AI agent for Pacman Challenge - Berkley

artificial-intelligence

Reinforcement Learning; Game Theory; Search algorithms and heuristic functions; Classical (AI), probabilistic and non-deterministic planning

code_kata_la1

Code kata

danielgil1.github.io

Daniel Gil - website

hangman-resbaz

Voice interaction for a hangman game AI using Language Models

hpc_twitter_geoprocessing

HPC processing

intro-nltk-2019-apr

Introduction to NLTK

intro-nltk-2019-jul

Introduction to Natural Language Processing with NLTK

intro-nltk-2019-jun

Introduction to Natural Language Processing with NLTK - June 2019

intro-nltk-2019-may

Material for introductory workshop - Text Analysis with NLTK

introduction-to-nltk

Introductory notebook for NLTK workshop

introduction-to-nltk-2019

machine-learning

supervised learning, semi-supervised and active learning, unsupervised learning, kernel methods, probabilistic graphical models, classifier combination, neural networks

mathematical-statistics

Basic statistical concepts including maximum likelihood, sufficiency, unbiased estimation, confidence intervals, hypothesis testing and significance levels. Estimation of model parameters, hypothesis testing using analysis of variance, model selection, diagnostics on model assumptions, and prediction considering computational techniques, including the EM algorithm, Bayes methods and Monte-Carlo methods.

network_traffic_attacks

nltk-preprocessing-meetup

question-answering

Question - Answering

resbaz_2019_nlp

Natural Language Processing at Resbaz 2019

respitch

Research Platforms NLTK - ResPitch

security_analytics

Machine Learning for Anomaly Detection in DDoS cybersecurity attacks and Security Analytics with Splunk

social_media_analytics

Social Media Analytics - The Deadly Sins

web-search-text-analysis

Text classification algorithms such as logistic regression; vector space models for natural language semantics; structured prediction, Hidden Markov models; N-gram language modelling, including statistical estimation;alignment of parallel corpora, Term indexing, term weighting for information retrieval; query expansion and relevance feedback