Алгоритмы

Курсы по алгоритмам помогут вам развить свои способности представления процессов в упрощенном виде для решения задач и эффективного воплощения этих процессов в ПО. Вы также научитесь разрабатывать алгоритмы для поиска, сортировки и оптимизации и находить с их помощью ответы на практические вопросы.

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Результатов: 21
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Deep Learning

Deep Learning

deeplearning.ai
Специализация
Оценка: 4.8 из пяти звезд.
Natural Language Processing

Natural Language Processing

deeplearning.ai
Специализация
Оценка: 4.6 из пяти звезд.
AI Foundations for Everyone

AI Foundations for Everyone

IBM
Специализация
Оценка: 4.7 из пяти звезд.
Reinforcement Learning

Reinforcement Learning

University of Alberta
Специализация
Оценка: 4.7 из пяти звезд.
Algorithms

Algorithms

Stanford University
Специализация
Оценка: 4.8 из пяти звезд.
Accelerated Computer Science Fundamentals

Accelerated Computer Science Fundamentals

University of Illinois at Urbana-Champaign
Специализация
Оценка: 4.7 из пяти звезд.
Data Structures and Algorithms

Data Structures and Algorithms

University of California San Diego
Специализация
Оценка: 4.6 из пяти звезд.
Introduction to Programming in C

Introduction to Programming in C

Duke University
Специализация
Оценка: 4.5 из пяти звезд.
Introduction to Discrete Mathematics for Computer Science

Introduction to Discrete Mathematics for Computer Science

National Research University Higher School of Economics
Специализация
Оценка: 4.6 из пяти звезд.
Fundamentals of Computing

Fundamentals of Computing

Rice University
Специализация
Оценка: 4.8 из пяти звезд.
Excel/VBA for Creative Problem Solving

Excel/VBA for Creative Problem Solving

University of Colorado Boulder
Специализация
Оценка: 4.9 из пяти звезд.
Probabilistic Graphical Models

Probabilistic Graphical Models

Stanford University
Специализация
Оценка: 4.6 из пяти звезд.
Bioinformatics

Bioinformatics

University of California San Diego
Специализация
Оценка: 4.5 из пяти звезд.
Algorithms for Battery Management Systems

Algorithms for Battery Management Systems

University of Colorado System
Специализация
Оценка: 4.8 из пяти звезд.
Machine Learning and Reinforcement Learning in Finance

Machine Learning and Reinforcement Learning in Finance

New York University
Специализация
Оценка: 3.7 из пяти звезд.
程序设计与算法

程序设计与算法

Peking University
Специализация
Оценка: 4.5 из пяти звезд.

    Часто задаваемые вопросы на тему Алгоритмы

  • 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!