Archives for active learning - Page 2
According to NVIDIA, if humans were to label the data for a 100-car fleet driving for eight hours a day, they would require more than 1 million labellers. It takes autonomous vehicles nearly 11 billion miles of driving to perform just 20% better than a human. Real-world problems that machine learning models encounter come with…
The post What Is Deep Active Learning: Challenges and Applications appeared first on Analytics India Magazine.
According to NVIDIA, if humans were to label the data for a 100-car fleet driving for eight hours a day, they would require more than 1 million labellers. It takes autonomous vehicles nearly 11 billion miles of driving to perform just 20% better than a human. Real-world problems that machine learning models encounter come with…
The post What Is Deep Active Learning: Challenges and Applications appeared first on Analytics India Magazine.
According to NVIDIA, if humans were to label the data for a 100-car fleet driving for eight hours a day, they would require more than 1 million labellers. It takes autonomous vehicles nearly 11 billion miles of driving to perform just 20% better than a human. Real-world problems that machine learning models encounter come with…
The post What Is Deep Active Learning: Challenges and Applications appeared first on Analytics India Magazine.
The lack of labelled data is one of the peskiest challenges in machine learning. A classifier that is put to identify spam from proper mails, cats from dogs or any other classifying tasks need to be fed with appropriate annotated data for accurate decision making. However, this is not the case always; the real-world problems…
The post Why Is Active Learning Important For ML? appeared first on Analytics India Magazine.