Ram Sagar
Ram Sagar
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Contact: ram.sagar@analyticsindiamag.com

Can You Learn Machine Learning Without Linear Algebra?

Machine learning is a field that has emerged out of numerous innovations in computational sciences, spanning centuries. So, can a machine learning enthusiast skip linear algebra and flourish? The short answer is — NO.  However, that’s not a complete picture.…

BAIDU’s ERNIE 2.0 Gets NLP Top Honours, Eclipses BERT & XLNet 

Machine learning models which are deployed for vision and in natural language processing (NLP) tasks usually have more than one billion parameters. This allows for better results as the model generalises over a large wide range of parameters. Pre-trained language…

How To Perfect Neural Machine Translation With Generative Networks

Cross-linguistic references can be understood by humans based on context. Words learnt in one language like ‘mother’ or ‘maa’ can be associated immediately when heard in another language. Now, attempts have been made to induce this trait in machines and…

How To Create ML Models To Trade Via Image Classification

The components of time-series are as complex and sophisticated as the data itself. With increasing time, the data obtained increases, and it doesn’t necessarily mean that more data means more information. In many cases, however, a larger sample avoids the…

Filling The Fluency Gap With Long-Form Question Answering Models

Most of the modern day NLP applications are deployed for chatbots, which is a conversational task involving questions which require mostly one word answers. This makes open-domain question answering (QA) a crucial benchmarking task in natural language understanding (NLU).  AI…

What’s Hot In The Driverless Space ⁠— Datasets, Acquisitions & More

According to a study done by Deloitte, in the US alone, people could travel up to 25 percent more miles by 2040 than they do today. And while the shift to shared autonomy is likely to happen earlier in densely…

10 Popular AutoML Tools Developers Can Use 

In a bid to promote democratisation and to fill in the gaps in domain expertise, AutoML or automated machine learning came to the fore. There is a lot of talk about democratisation of data science nowadays. But, who is doing…

How To Go Beyond CNNs With Stand-Alone Self-Attention Models

The advent of large datasets and compute resources made convolution neural networks (CNNs) the backbone for many computer vision applications. The field of deep learning has in turn largely shifted toward the design of architectures of CNNs for improving the…

How Online Companies Are Tapping Into Object Detection To Improve User Experience 

The accuracy of state-of-the-art object detection systems is often under scanner for seemingly obvious reasons. From unlocking the phone to self-driving cars, object detection is almost everywhere.  As computer vision applications grow in popularity, it has become crucial to keep…

Google Researchers Explore A New Paradigm For Partial Differential Equations With Machine Learning

What’s common with predicting climate change and simulating nuclear fusion reactors? These tasks are modelled on a system of very famous mathematical equations — partial differential equations (PDE). PDEs are the class of equations which describe everything smooth and continuous…

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