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
Stanford University
Machine Learning
COURSE
Neural Networks and Deep Learning
deeplearning.ai
Neural Networks and Deep Learning
COURSE
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
deeplearning.ai
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
COURSE
Convolutional Neural Networks
deeplearning.ai
Convolutional Neural Networks
COURSE
Machine Learning with Python
IBM
Machine Learning with Python
COURSE
Structuring Machine Learning Projects
deeplearning.ai
Structuring Machine Learning Projects
COURSE
Mathematics for Machine Learning: Linear Algebra
Imperial College London
Mathematics for Machine Learning: Linear Algebra
COURSE
Sequence Models
deeplearning.ai
Sequence Models
COURSE
Machine Learning Foundations: A Case Study Approach
University of Washington
Machine Learning Foundations: A Case Study Approach
COURSE
Machine Learning for Business Professionals
Google Cloud
Machine Learning for Business Professionals
COURSE
Getting Started with AWS Machine Learning
Amazon Web Services
Getting Started with AWS Machine Learning
COURSE
Google Cloud Platform Big Data and Machine Learning Fundamentals
Google Cloud
Google Cloud Platform Big Data and Machine Learning Fundamentals
COURSE
Introduction to Deep Learning
National Research University Higher School of Economics
Introduction to Deep Learning
COURSE
Introduction to Artificial Intelligence (AI)
IBM
Introduction to Artificial Intelligence (AI)
COURSE
Applied Data Science Capstone
IBM
Applied Data Science Capstone
COURSE
Natural Language Processing in TensorFlow
deeplearning.ai
Natural Language Processing in TensorFlow
COURSE
AI for Medical Diagnosis
deeplearning.ai
AI for Medical Diagnosis
COURSE
Convolutional Neural Networks in TensorFlow
deeplearning.ai
Convolutional Neural Networks in TensorFlow
COURSE
Computer Vision Basics
University at Buffalo
Computer Vision Basics
COURSE

    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.