机器学习

机器学习课程介绍如何创建使用和分析大规模数据的系统。具体内容包括预测算法、自然语言处理以及统计模式识别。

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机器学习

机器学习

Stanford University
課程
評分為 4.9(滿分 5 星)。 147988 條評論
Neural Networks and Deep Learning

Neural Networks and Deep Learning

deeplearning.ai
課程
評分為 4.9(滿分 5 星)。 95358 條評論
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

deeplearning.ai
課程
評分為 4.9(滿分 5 星)。 54496 條評論
Natural Language Processing with Classification and Vector Spaces

Natural Language Processing with Classification and Vector Spaces

deeplearning.ai
課程
評分為 4.6(滿分 5 星)。 1400 條評論
Mathematics for Machine Learning: Linear Algebra

Mathematics for Machine Learning: Linear Algebra

Imperial College London
課程
評分為 4.7(滿分 5 星)。 8156 條評論
Structuring Machine Learning Projects

Structuring Machine Learning Projects

deeplearning.ai
課程
評分為 4.8(滿分 5 星)。 43634 條評論
Convolutional Neural Networks in TensorFlow

Convolutional Neural Networks in TensorFlow

deeplearning.ai
課程
評分為 4.7(滿分 5 星)。 5363 條評論
Convolutional Neural Networks

Convolutional Neural Networks

deeplearning.ai
課程
評分為 4.9(滿分 5 星)。 36099 條評論
Natural Language Processing in TensorFlow

Natural Language Processing in TensorFlow

deeplearning.ai
課程
評分為 4.6(滿分 5 星)。 4388 條評論
Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud
課程
評分為 4.7(滿分 5 星)。 11777 條評論
Natural Language Processing with Probabilistic Models

Natural Language Processing with Probabilistic Models

deeplearning.ai
課程
評分為 4.8(滿分 5 星)。 514 條評論
Sequence Models

Sequence Models

deeplearning.ai
課程
評分為 4.8(滿分 5 星)。 24632 條評論
Machine Learning with Python

Machine Learning with Python

IBM
課程
評分為 4.7(滿分 5 星)。 9778 條評論
Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

IBM
課程
評分為 4.7(滿分 5 星)。 5708 條評論
Foundations of Data Science: K-Means Clustering in Python

Foundations of Data Science: K-Means Clustering in Python

University of London
課程
評分為 4.7(滿分 5 星)。 237 條評論
Sequences, Time Series and Prediction

Sequences, Time Series and Prediction

deeplearning.ai
課程
評分為 4.6(滿分 5 星)。 3043 條評論

    關於 机器学习 的常見問題

  • 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.