Algoritmos

Los cursos de algoritmos desarrollan tu habilidad para articular procesos para resolver problemas y mejorar aquellos procesos de manera eficaz dentro de un software. Aprenderás a diseñar algoritmos para investigación, clasificación y optimización, y los aplicarás para responder preguntas prácticas.

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Neural Networks and Deep Learning

Neural Networks and Deep Learning

DeepLearning.AI
Curso
Calificado 4.9 de cinco estrellas. 95735 reseñas
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

DeepLearning.AI
Curso
Calificado 4.9 de cinco estrellas. 54635 reseñas
Computational Thinking for Problem Solving

Computational Thinking for Problem Solving

University of Pennsylvania
Curso
Calificado 4.7 de cinco estrellas. 767 reseñas
Natural Language Processing with Classification and Vector Spaces

Natural Language Processing with Classification and Vector Spaces

DeepLearning.AI
Curso
Calificado 4.6 de cinco estrellas. 1441 reseñas
Convolutional Neural Networks

Convolutional Neural Networks

DeepLearning.AI
Curso
Calificado 4.9 de cinco estrellas. 36220 reseñas
Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Stanford University
Curso
Calificado 4.8 de cinco estrellas. 4163 reseñas
Natural Language Processing with Probabilistic Models

Natural Language Processing with Probabilistic Models

DeepLearning.AI
Curso
Calificado 4.8 de cinco estrellas. 541 reseñas
Machine Learning with Python

Machine Learning with Python

IBM
Curso
Calificado 4.7 de cinco estrellas. 9802 reseñas
Sequence Models

Sequence Models

DeepLearning.AI
Curso
Calificado 4.8 de cinco estrellas. 24751 reseñas
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

Hebrew University of Jerusalem
Curso
Calificado 4.9 de cinco estrellas. 2391 reseñas
Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

IBM
Curso
Calificado 4.7 de cinco estrellas. 5815 reseñas
Fundamentals of Reinforcement Learning

Fundamentals of Reinforcement Learning

University of Alberta
Curso
Calificado 4.8 de cinco estrellas. 1494 reseñas
Excel/VBA for Creative Problem Solving, Part 1

Excel/VBA for Creative Problem Solving, Part 1

University of Colorado Boulder
Curso
Calificado 4.8 de cinco estrellas. 2582 reseñas
Getting Started with SAS Programming

Getting Started with SAS Programming

SAS
Curso
Calificado 4.8 de cinco estrellas. 1363 reseñas
Natural Language Processing with Sequence Models

Natural Language Processing with Sequence Models

DeepLearning.AI
Curso
Calificado 4.6 de cinco estrellas. 283 reseñas
Algorithmic Toolbox

Algorithmic Toolbox

University of California San Diego
Curso
Calificado 4.6 de cinco estrellas. 9330 reseñas

    Preguntas frecuentes 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!