Algoritmos

Os cursos em algoritmia desenvolvem habilidades que possibilitam ao aluno articular processos de solução de problemas e aplicar esses processos de forma eficiente em um software. O aluno aprenderá como criar algoritmos para pesquisas, classificação e optimização e como aplicá-los para solucionar questões práticas.

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Neural Networks and Deep Learning
deeplearning.ai
Neural Networks and Deep Learning
Curso
Algorithms, Part I
Princeton University
Algorithms, Part I
Curso
Algorithmic Toolbox
University of California San Diego
Algorithmic Toolbox
Curso
Convolutional Neural Networks
deeplearning.ai
Convolutional Neural Networks
Curso
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
deeplearning.ai
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Curso
Machine Learning with Python
IBM
Machine Learning with Python
Curso
Sequence Models
deeplearning.ai
Sequence Models
Curso
Programming Fundamentals
Duke University
Programming Fundamentals
Curso
Natural Language Processing with Classification and Vector Spaces
deeplearning.ai
Natural Language Processing with Classification and Vector Spaces
Curso
Introducción a la programación en Python I: Aprendiendo a programar con Python
Pontificia Universidad Católica de Chile
Introducción a la programación en Python I: Aprendiendo a programar con Python
Curso
Introduction to Artificial Intelligence (AI)
IBM
Introduction to Artificial Intelligence (AI)
Curso
Data Structures
University of California San Diego
Data Structures
Curso
Основы программирования на Python
National Research University Higher School of Economics
Основы программирования на Python
Curso
Mathematical Thinking in Computer Science
University of California San Diego
Mathematical Thinking in Computer Science
Curso
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Stanford University
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Curso
Introducción a Data Science: Programación Estadística con R
Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con R
Curso
Excel/VBA for Creative Problem Solving, Part 1
University of Colorado Boulder
Excel/VBA for Creative Problem Solving, Part 1
Curso
An Introduction to Interactive Programming in Python (Part 1)
Rice University
An Introduction to Interactive Programming in Python (Part 1)
Curso
Computer Vision Basics
University at Buffalo
Computer Vision Basics
Curso

    Perguntas frequentes sobre Algoritmos

  • An algorithm is a step-by-step process used to solve a problem or reach a desired goal. It's a simple concept; you use your own algorithms for everyday tasks like deciding whether to drive or take the subway to work, or determining what you need from the grocery store. Software programs are an example of much more powerful algorithms, with computing resources used to execute multiple complex algorithms in parallel to solve much higher-level problems.

    As computers become more and more powerful, algorithms are helping them take on a life of their own - literally! Machine learning techniques rely on algorithms that learn and improve over time without need for a programmer's guidance. These techniques can be used to train algorithms for relatively simple tasks like image recognition or the automation and optimization of business workflows. And at their most complex, these algorithms are at the core of building the deep learning and artificial intelligence capabilities that many experts expect will transform our world even more than the advent of the internet!