Машинное обучение

Курсы по машинному обучению посвящены созданию систем для использования больших массивов данных и обучения на их основе. Здесь рассматриваются такие темы, как прогнозирующие алгоритмы, обработка естественных языков и распознавание статистических закономерностей.

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Machine Learning

Machine Learning

Stanford University
Курс
Оценка: 4.9 из пяти звезд. Рецензии: 148209
Neural Networks and Deep Learning

Neural Networks and Deep Learning

DeepLearning.AI
Курс
Оценка: 4.9 из пяти звезд. Рецензии: 95638
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

DeepLearning.AI
Курс
Оценка: 4.9 из пяти звезд. Рецензии: 54600
Natural Language Processing with Classification and Vector Spaces

Natural Language Processing with Classification and Vector Spaces

DeepLearning.AI
Курс
Оценка: 4.6 из пяти звезд. Рецензии: 1433
Mathematics for Machine Learning: Linear Algebra

Mathematics for Machine Learning: Linear Algebra

Imperial College London
Курс
Оценка: 4.7 из пяти звезд. Рецензии: 8180
Structuring Machine Learning Projects

Structuring Machine Learning Projects

DeepLearning.AI
Курс
Оценка: 4.8 из пяти звезд. Рецензии: 43727
Convolutional Neural Networks in TensorFlow

Convolutional Neural Networks in TensorFlow

DeepLearning.AI
Курс
Оценка: 4.7 из пяти звезд. Рецензии: 5384
Convolutional Neural Networks

Convolutional Neural Networks

DeepLearning.AI
Курс
Оценка: 4.9 из пяти звезд. Рецензии: 36185
Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud
Курс
Оценка: 4.7 из пяти звезд. Рецензии: 11809
Natural Language Processing with Probabilistic Models

Natural Language Processing with Probabilistic Models

DeepLearning.AI
Курс
Оценка: 4.8 из пяти звезд. Рецензии: 531
Natural Language Processing in TensorFlow

Natural Language Processing in TensorFlow

DeepLearning.AI
Курс
Оценка: 4.6 из пяти звезд. Рецензии: 4415
Machine Learning with Python

Machine Learning with Python

IBM
Курс
Оценка: 4.7 из пяти звезд. Рецензии: 9797
Sequence Models

Sequence Models

DeepLearning.AI
Курс
Оценка: 4.8 из пяти звезд. Рецензии: 24713
Foundations of Data Science: K-Means Clustering in Python

Foundations of Data Science: K-Means Clustering in Python

University of London
Курс
Оценка: 4.7 из пяти звезд. Рецензии: 244
Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

IBM
Курс
Оценка: 4.7 из пяти звезд. Рецензии: 5791
Fundamentals of Reinforcement Learning

Fundamentals of Reinforcement Learning

University of Alberta
Курс
Оценка: 4.8 из пяти звезд. Рецензии: 1493

    Часто задаваемые вопросы на тему Машинное обучение

  • Machine learning is a branch of artificial intelligence that seeks to build computer systems that can learn from data without human intervention. These powerful techniques rely on the creation of sophisticated analytical models that are “trained” to recognize patterns within a specific dataset before being unleashed to apply these patterns to more and more data, steadily improving performance without further guidance.

    For example, machine learning is making increasingly accurate image recognition algorithms possible. Human programmers provide a relatively small set of images that are labeled as “cars” or “not cars,” for instance, and then expose the algorithms to vastly larger numbers of images to learn from. While the iterative algorithms typically used in machine learning aren’t new, the power of today’s computing systems have enabled this method of data analysis to become more effective more rapidly than ever.