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

What Is SSD & How It Improved Computer Vision Forever

Object detection systems usually employ bounding boxes, pixel resampling and application of high-quality classifiers. These approaches are heavy on computation and high on latency when it comes to real-time applications. Single shot detection, unlike other object detectors, doesn’t resample pixels…

How This Indian Researcher Is Using Deep Learning To Shut Down Trolls And Fake Reviews

The world has become more connected now than ever before. An opinion can fly at light speed across continents and a revolution can be sparked by remote players in a matter of hours. The platform owners and policymakers have to…

11 Open Source Datasets That Can Be Used For Health Science Projects

  Machine learning is now widely deployed across various health sectors because of its ability to make real-time predictions and draw insights which usually go unnoticed given the voluminous and unstructured nature of the datasets. Here are few repositories that…

Can Reinforcing ML And Graph Reasoning Make Chatbots Smarter?

Natural language processing has garnered great attention of late for two reasons — there is so much room for improvement and any chance of success being immensely rewarding. A wrongly forwarded documentation or response can create a lot of miscommunication…

Top GAN Research Papers Every Machine Learning Enthusiast Must Peruse

In the early 1960s, AI pioneer Herbert Simon observed that in a span of two decades, machines will match the cognitive abilities of humankind. Predictions like these motivated theorists, sceptics and thinkers from a cross-section of domains to find ways…

What’s Holding Back India’s Energy Sector From Implementing Data Analytics?

Using data for power is relatively new and currently essential. With data and analytics, one can gain more out of both renewable and nonrenewable energy applications. And these applications have gained momentum given the alarming need for cost-cutting and climate…

Why You Should Use Weak Supervision For Your Data Labelling Chores

If a model is tasked with identifying dogs from a random collection, then one can use named-entity recognition to label any content that does not contain the names of dog breeds. Existing knowledge resources can be combined with such simplistic…

Why Google’s AI-Powered Doodle For Bach’s Birth Anniversary Will Make A Perfect Protege

  There is no formula for writing a good melody. One can argue about the ratio of the dimensions of the musical instrument or about the hair in the ear. Google’s latest doodle pays homage to Johann Sebastian Bach, a…

Now You Can Build Faster, Lighter ML Models On Your Smartphone With TensorFlow Lite

TensorFlow’s machine learning platform has a comprehensive, flexible ecosystem of tools, libraries and community resources. This lets researchers push the state-of-the-art developments in ML and developers easily build and deploy ML-powered applications. At the recently concluded TensorFlow’s developer summit, along…

Why You Should Try Model Agnostic Solutions When The Data Is Vague

When it comes to performing few-shot learning tasks, deep neural nets fail to live up to their expectation. Because in a few-shot learning task, the classifier has to make generalisation after every few examples from each class. Meta-learning came into…

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