Maschinelles Lernen

Kurse zum maschinellen Lernen konzentrieren sich auf die Erstellung von Systemen, um große Datenmengen zu nutzen und von ihnen lernen zu können. Themen der Kurse beinhalten prädiktive Algorithmen, Natural Language Processing und statistische Mustererkennung.

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Deep Learning
deeplearning.ai
Deep Learning
SPECIALIZATION
Data Science: Foundations using R
Johns Hopkins University
Data Science: Foundations using R
SPECIALIZATION
Applied Data Science
IBM
Applied Data Science
SPECIALIZATION
TensorFlow in Practice
deeplearning.ai
TensorFlow in Practice
SPECIALIZATION
Advanced Machine Learning
National Research University Higher School of Economics
Advanced Machine Learning
SPECIALIZATION
Mathematics for Machine Learning
Imperial College London
Mathematics for Machine Learning
SPECIALIZATION
Machine Learning
University of Washington
Machine Learning
SPECIALIZATION
Big Data
University of California San Diego
Big Data
SPECIALIZATION
Data Engineering, Big Data, and Machine Learning on GCP
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
SPECIALIZATION
Advanced Data Science with IBM
IBM
Advanced Data Science with IBM
SPECIALIZATION
AI for Medicine
deeplearning.ai
AI for Medicine
SPECIALIZATION
Data Science: Statistics and Machine Learning
Johns Hopkins University
Data Science: Statistics and Machine Learning
SPECIALIZATION
Machine Learning with TensorFlow on Google Cloud Platform
Google Cloud
Machine Learning with TensorFlow on Google Cloud Platform
SPECIALIZATION
Машинное обучение и анализ данных
Moscow Institute of Physics and Technology
Машинное обучение и анализ данных
SPECIALIZATION
Reinforcement Learning
University of Alberta
Reinforcement Learning
SPECIALIZATION
Data Mining
University of Illinois at Urbana-Champaign
Data Mining
SPECIALIZATION
Investment Management with Python and Machine Learning
EDHEC Business School
Investment Management with Python and Machine Learning
SPECIALIZATION
Advanced Machine Learning with TensorFlow on Google Cloud Platform
Google Cloud
Advanced Machine Learning with TensorFlow on Google Cloud Platform
SPECIALIZATION
Mathematics for Data Science
National Research University Higher School of Economics
Mathematics for Data Science
SPECIALIZATION

    Häufig gestellte Fragen zum Thema Maschinelles Lernen

  • 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.