从算法到应用:滴滴端到端语音AI技术实践

本文介绍滴滴端到端语音AI技术实践经验。

作者:DataFunTalk 来源:infoq

发布时间:2020-02-05 10:00:00

Data Cleaning in Python: the Ultimate Guide (2020)

Techniques on what to clean and how.

作者:Lianne & Justin 来源:medium

发布时间:2020-02-04 22:17:02

Inside The Machine Learning that Google Used to Build Meena: A Chatbot that Can Chat About Anything

Meena is one of the major milestones in the history of NLU. How did Google build it?

作者:Jesus Rodriguez 来源:medium

发布时间:2020-02-04 22:10:46

全球首个针对寒冷环境的自动驾驶数据集发布,包含56000张图像

自动驾驶领域的又一进步。

作者:陈思 来源:infoq

发布时间:2020-02-04 16:58:37

Machine Learning in TensorFlow vs PyTorch

Here’s what a Neural Network in TensoFlow and PyTorch code looks like

作者:Andreas Stöffelbauer 来源:medium

发布时间:2020-02-04 16:13:05

Machine Learning in TensorFlow vs PyTorch

Here’s what a Neural Network in TensoFlow and PyTorch code looks like

作者:Andreas Stöffelbauer 来源:medium

发布时间:2020-02-04 16:13:05

特斯拉AI团队招聘:马斯克称不在乎学历,但编程测试得过

学历是AI 业者的门槛?至少在特斯拉不是

作者:赵钰莹 来源:infoq

发布时间:2020-02-04 14:55:19

苹果AI技术新突破:Siri可识别热门单词和多语种说话者

苹果揭秘Siri背后的AI技术。

作者: | 李冬梅 来源:infoq

发布时间:2020-02-04 14:47:36

Transition from Mechanical Engineer to Machine Learning Engineer (or Data Scientist)

A journey story of myself from a world of physical machines to another world that is full of digital ones.

作者:Huan Do 来源:medium

发布时间:2020-02-04 13:07:32

Transition from Mechanical Engineer to Machine Learning Engineer (or Data Scientist)

A journey story of myself from a world of physical machines to another world that is full of digital ones.

作者:Huan Do 来源:medium

发布时间:2020-02-04 13:07:32

Visualizing Categorical Data

The two main categories of categorical data are nominal and ordinal.

作者:Usha Rengaraju 来源:medium

发布时间:2020-02-04 07:40:03

Visualizing Categorical Data

The two main categories of categorical data are nominal and ordinal.

作者:Usha Rengaraju 来源:medium

发布时间:2020-02-04 07:40:03

Feature Selection

Feature selection, the process of finding and selecting the most useful features in a dataset, is a crucial step of the machine learning

作者:Usha Rengaraju 来源:medium

发布时间:2020-02-04 05:51:58

Categorical Encoding Techniques

Encoding categorical features in to numerical values remains the most crucial part in the feature engineering pipeline.

作者:Usha Rengaraju 来源:medium

发布时间:2020-02-04 04:38:59

我们分析了GitHub上5.46 亿条日志,发现中国开源虽然贡献大但还有这些不足...

GitHub 2019 数字年报全文正式发布

作者:InfoQ中文站 来源:infoq

发布时间:2020-02-03 16:21:36

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