AI News, Otimização discreta

Otimização discreta

It organizes kidney exchanges and cancer treatments and helps scientists understand the fundamental fabric of life, control complex chemical reactions, and design drugs that may benefit billions of individuals. This

It covers constraint programming, local search, and mixed-integer programming from their foundations to their applications for complex practical problems in areas such as scheduling, vehicle routing, supply-chain optimization, and resource allocation.

Build a Neural Net in 4 Minutes

How does a Neural network work? Its the basis of deep learning and the reason why image recognition, chatbots, self driving cars, and language translation ...

Aula de Banco de Dados: Exemplo de otimização baseada em custos

Videoaula com um exemplo de otimização de consultas baseada em custos (prof. Daniel S. Kaster - Universidade Estadual de Londrina)

Intro - The Math of Intelligence

Welcome to The Math of Intelligence! In this 3 month course, we'll cover the most fundamental math concepts in Machine Learning. In this first lesson, we'll go ...

Optimizing a Logistic Classifier

This video is part of the Udacity course "Deep Learning". Watch the full course at

Processamento de Consultas (parte 2) - Aula 17 - Bancos de Dados 2015.2

Continuação da aula de processamento de consultas em SQL. Nesta aula, é apresentado como a consulta SQL é transformada em uma árvore de consulta, ...

Introduction to PSO Methodology

Google Cloud Professional Services Organization's mission is to help our customer and partners get the most out of Google products. PSO is responsible for ...

Lecture 16 - Radial Basis Functions

Radial Basis Functions - An important learning model that connects several machine learning models and techniques. Lecture 16 of 18 of Caltech's Machine ...

Lecture 10 - Neural Networks

Neural Networks - A biologically inspired model. The efficient backpropagation learning algorithm. Hidden layers. Lecture 10 of 18 of Caltech's Machine ...

Lecture 01 - The Learning Problem

The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lecture 1 of 18 of Caltech's ...

Neural Networks Demystified [Part 4: Backpropagation]

Backpropagation as simple as possible, but no simpler. Perhaps the most misunderstood part of neural networks, Backpropagation of errors is the key step that ...