Materiais sobre Inteligência Artificial, Machine Learning, Statistics e etc…

Abaixo uma coleção de links de materiais de diversos assuntos relacionados a Inteligência Artificial, Machine Learning, Statistics, Algoritmos diversos (Classificação, Clustering, Redes Neurais, Regressão Linear…), Processamento de Linguagem Natural e etc…

Dicas diversas

Manipulando Strings com Python
https://www.linkedin.com/pulse/manipulando-strings-com-python-fernanda-santos

140 Machine Learning Formulas

Deadly Commands You Should Never Run on Linux

40 Techniques Used by Data Scientists

Cosmetic product recognition system for product categorization using AI & ML

Conceitos estatísticos explicados em inglês simples

Série sobre tópicos específicos relacionados à Conceitos Estatísticos na Ciência de Dados: regressão, clustering, redes neurais, aprendizagem profunda (deep learning), árvores de decisão (decision tree), conjuntos, correlação, Python, R, Tensorflow, SVM (support vector machine), redução de dados, seleção de recursos, design experimental, validação cruzada (cross-validation), montagem de modelos e muito mais. More about Statistcs

• Mean Squared Error: Definition and Example
• Measurement Error (Observational Error)
• Measurement Variable: Simple Definition & Examples
• Measures of Spread: Definitions, Examples
• Measures of Variation: Definition, Types and Examples
• Median Absolute Deviation
• Memoryless Property: Definition and Examples in Statistics
• Method of Moments Definition and Example
• Metropolis-Hastings Algorithm / Metropolis Algorithm

Aplicações de Redes Neurais e Algoritmos Genéticos (Google´s Dinosaur and Flappy Bird)

Genetic Algorithm
In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection. (more)

Artificial neural network
Artificial neural networks (ANNs), a form of connectionism, are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance) to do tasks by considering examples, generally without task-specific programming. For example, in image recognition, they might learn to identify images that contain cats by analyzing example images that have been manually labeled as “cat” or “no cat” and using the analytic results to identify cats in other images. They have found most use in applications difficult to express in a traditional computer algorithm using rule-based programming. (more)

Inteligência Artificial com Dinossauro da Google (Source Code)

 

Machine Learning Algorithm for Flappy Bird using Neural Network and Genetic Algorithm