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Ram Sagar
Ram Sagar
188 Articles0 Comments

Ram holds a master's degree in Robotics.He likes to read and is always intrigued about how things work.

How To Use GANs When The Training Data Is Unlabelled

With the publication of this paper in 2014, applications of GANs have witnessed a tremendous growth. The Generative-Adversarial networks have been successfully used for high-fidelity natural image synthesis, improving learned image compression and data augmentation tasks. GANs have advanced to…

Google Comes One Step Closer To Replicating Human Movement With TossingBot

A little experience of getting the ball into a hoop would be enough to imagine the complexity involved with it, more so for an amateur. NBA superstar Kobe Bryant took or made more than 800 shots a day throughout his…

5 Business Intelligence Jobs You Must Apply For Right Away

Analytics India Jobs offers a new platform for the data science community in India by bringing to the fore latest job openings across the country. Here are few Business Intelligence (BI) job openings to apply for right away: Analyst @…

How To Build An Efficient Machine Learning Pipeline

To a business, machine learning can deliver much-needed insights in a faster and more accurate way. The main objective of having a proper pipeline for any ML model is to exercise control over it. A well-organised pipeline makes the implementation…

Top 5 AI-Based Document Processing Platforms

The kind of applications and avenues that AI opens up knows no bounds. Machine learning algorithms are now capable of solving human-like tasks involving vision and sound. The computer vision techniques today go beyond images themselves to any type of…

What Is A Naive Bayes Classifier And What Significance Does It Have In ML

Classifier systems are most popular with spam filtering for emails, collaborative filtering for recommendation engines and sentiment analysis. AI is good with demarcating groups based on patterns over large sets of data. Naive Bayes classifier is based on Bayes’ theorem…

How RetinaNet Fixes The Shortcomings Of SSD With Focal Loss

In the conventional object detectors, say, R-CNN, initially a set of object locations are generated and then these locations are classified whether they belong to the foreground or background classes using a CNN. This is working of a two-stage detector.…

Reliance To Buy Mumbai-Based Haptik To Supercharge Its AI Services

Reliance Jio is poised to create more ripples in the artificial intelligence sector, with the acquisition of Haptik. Mumbai-based Haptik, founded in 2013 by Aakrit Vaish and Swapan Rajdev, deploys state-of-the-art machine learning algorithms to perform NLP tasks. Haptik is…

8 Free Resources On Indian Economy You Can Use For Your Data Science Projects

  With a population of over 1.2 billion and a GDP of around $2.69 trillion, India consists of one of the most diverse economies in the world. There are many economic indicators that come into play while preparing a budget…

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…

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