Algorithmes

Les cours Algorithmes développent vos capacités à articuler des processus pour résoudre des problèmes et à mettre en œuvre ces processus de façon efficace au moyen de logiciels. Vous apprendrez à concevoir des algorithmes pour la recherche, le tri et l'optimisation, et vous les utiliserez pour répondre à des questions pratiques.

...
Filtrer par :
185 résultats
Trier par :
Neural Networks and Deep Learning

Neural Networks and Deep Learning

deeplearning.ai
Cours
Noté 4.9 sur cinq étoiles. 95061 avis
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

deeplearning.ai
Cours
Noté 4.9 sur cinq étoiles. 54353 avis
Computational Thinking for Problem Solving

Computational Thinking for Problem Solving

University of Pennsylvania
Cours
Noté 4.7 sur cinq étoiles. 759 avis
Natural Language Processing with Classification and Vector Spaces

Natural Language Processing with Classification and Vector Spaces

deeplearning.ai
Cours
Noté 4.6 sur cinq étoiles. 1354 avis
Convolutional Neural Networks

Convolutional Neural Networks

deeplearning.ai
Cours
Noté 4.9 sur cinq étoiles. 36013 avis
Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Stanford University
Cours
Noté 4.8 sur cinq étoiles. 4150 avis
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
Cours
Noté 4.9 sur cinq étoiles. 2375 avis
Sequence Models

Sequence Models

deeplearning.ai
Cours
Noté 4.8 sur cinq étoiles. 24559 avis
Natural Language Processing with Probabilistic Models

Natural Language Processing with Probabilistic Models

deeplearning.ai
Cours
Noté 4.8 sur cinq étoiles. 482 avis
Machine Learning with Python

Machine Learning with Python

IBM
Cours
Noté 4.7 sur cinq étoiles. 9749 avis
Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

IBM
Cours
Noté 4.7 sur cinq étoiles. 5591 avis
Excel/VBA for Creative Problem Solving, Part 1

Excel/VBA for Creative Problem Solving, Part 1

University of Colorado Boulder
Cours
Noté 4.8 sur cinq étoiles. 2543 avis
Fundamentals of Reinforcement Learning

Fundamentals of Reinforcement Learning

University of Alberta
Cours
Noté 4.8 sur cinq étoiles. 1468 avis
Getting Started with SAS Programming

Getting Started with SAS Programming

SAS
Cours
Noté 4.9 sur cinq étoiles. 1327 avis
Natural Language Processing with Sequence Models

Natural Language Processing with Sequence Models

deeplearning.ai
Cours
Noté 4.5 sur cinq étoiles. 229 avis
Mathematics for Machine Learning: Multivariate Calculus

Mathematics for Machine Learning: Multivariate Calculus

Imperial College London
Cours
Noté 4.7 sur cinq étoiles. 3895 avis

    Questions fréquentes sur Algorithmes

  • 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!