Archives for unsupervised
A self-driving car should be accurate — there is no room for second-guessing. A self-driving car’s accuracy improves drastically if it has been trained on data that has been annotated with parameters like colours, shapes, sizes, signs and angles. The question here is where can one get that kind of data? Today, data labelling has…
The post How Important Is Labelled Data For Improving Machine Learning Robustness? appeared first on Analytics India Magazine.
The guiding principle of generative models is being able to construct a convincing example of the data that it is fed with. The more realistic the image, the stronger is the evidence that the model has grasped the objective. Generative models offer an appealing alternative to self-supervised tasks in that they are trained to model…
The post BigBiGAN Sets New Benchmark For Unsupervised Representation Learning appeared first on Analytics India Magazine.
Machine Learning models suffer from a lack of structured data. The representations of the data are sometimes entangled. This is where prior knowledge of humans comes in handy to perform feature engineering. In order to make the algorithms to exploit the inherent representations within data, disentanglement methods were introduced. There is no single definition of…
The post Debunking Widely Held Assumptions In Unsupervised Learning Of Disentangled Representations appeared first on Analytics India Magazine.
In a far-field setting, a typical HomePod has to overcome the echo, reverberation and noise. Apple has tweaked its virtual assistant Siri’s machine learning algorithms to overcome the challenges with lurking background noise. Apple researchers explained, “A complete online system, which addresses all of the environmental issues that HomePod can experience, requires a tight integration…
The post Hey Siri, You Can Hear Better Because Of Machine Learning appeared first on Analytics India Magazine.