W@W A CELEBRATION OF WOMEN AT WHIRLDATA

W@W A CELEBRATION OF WOMEN AT WHIRLDATA

W@W A CELEBRATION OF WOMEN AT WHIRLDATA By Madhumita Gowrishankar Woman – this very word holds a lot of meaning.This very word reflects a lot of roles played in the society – a mother, a daughter, the unsaid head of the family – a wife, a sibling and much more. But even men play these…

March 12, 2019 | by

W@W WONDER SESSIONS MARCH 09 2019

W@W WONDER SESSIONS MARCH 09 2019

W@W WONDER SESSIONS March 09 2019 It was a day to remember! A day when our team of superwomen conducted insightful sessions on Machine Learning and Artificial Intelligence with ease and grace. They covered various aspects of learning strategies, market demand and presented some real world examples via live projects. Moreover, they helped the participants…

March 12, 2019 | by

TWITTER ANALYSIS OF ETHEREUM AND ITS PRICE & VOLUME

TWITTER ANALYSIS OF ETHEREUM AND ITS PRICE & VOLUME

Saqib A | JAN 2019 Intent: Analyze the relationship of sentiment (from tweets on Ethereum) on price and volume of Ethereum. The Process: The starting point was to analyze the tweets of Vitalik Buterin (Founder of Ethereum) We fetched 3195 tweets by scraping Twitter and classified them as Tweets on Ethereum and Tweets on Non…

January 12, 2019 | by

SEGNET – APPLICABILITY IN SINGLE OBJECT DETECTION WITH LOW RESOLUTION IMAGES

SEGNET – APPLICABILITY IN SINGLE OBJECT DETECTION WITH LOW RESOLUTION IMAGES

Akshay Ramanujam & Manivannan Murugavel | JAN 2019 We thank Madhusudhan B A, Ara Ramalingam and Muthupandian Thangarajan for their guidance and support towards making this paper a reality Abstract We implemented the SegNet neural network architecture to detect strays of transparent and colored plastic on a conveyor belt containing paper from recycled garbage at…

January 12, 2019 | by

BUILDING A COMMERCIALLY VIABLE MACHINE  LEARNING / DEEP LEARNING SOLUTION

BUILDING A COMMERCIALLY VIABLE MACHINE LEARNING / DEEP LEARNING SOLUTION

Madhusudhan B A | JAN 2019 A primer on factors to be considered for companies foraying into Machine Learning / Deep Learning and attempting to build experimental projects, solutions or Proof of Concepts based on Machine Learning. In an effort to rapidly build Machine Learning/Deep Learning capabilities, several data analytics and data sciences organizations/startups go…

January 11, 2019 | by

UNDERSTANDING INTERMEDIARY LAYERS OF A DEEP CONVOLUTIONAL NEURAL NETWORK USING NEURAL STYLE TRANSFER

UNDERSTANDING INTERMEDIARY LAYERS OF A DEEP CONVOLUTIONAL NEURAL NETWORK USING NEURAL STYLE TRANSFER

Madhusudhan B A | JAN 2019 1.Introduction An understanding of image representation is a crucial component of any image understanding system. In particular interest here is the ability to understand image representations and significance in the various layers of a deep Convolutional Neural Network (CNN). CNNs have become the preferred to alternate to solve visual…

January 8, 2019 | by