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An overview and implementation in R Feb 19, 2018 Fig 1: Performance of an individual — Poor, Fair, Excellent Can you guess what is the common link in the variables mentioned below: Job … Read more

The idea behind using a Keras generator is to get batches of input and corresponding output on the fly during training process, e.g. reading in 100 images, getting corresponding 100 … Read more

It’s not enough to do data analysis (Credit rawpixel: Unsplash) Stop management from ignoring your analysis Feb 3, 2018 To a data analyst, there is nothing more exciting than the data … Read more

4) Under the hood: expressing computations TensorFlow could be considered a programming system and runtime, not just a “library” in the traditional sense: TensorFlow’s graph even supports constructs like variable … Read more

Jan 13, 2018 The computing world has seen increasing attention on microservices software architecture in order to enhance software scalability and efficiency. Microservices brings many benefits for tech organizations. However, … Read more

Reinforcement Learning (RL) is one of the most happening field of Machine Learning (ML) and Artificial Intelligence (AI).Though RL existed for many decades, only recently the giant has awaken after … Read more

Nov 27, 2017 By: Team Vesta, University of Southern California. CSCI:599 Deep Learning and Its Applications Suraj Jayakumar (sjayakum@usc.edu), Rakesh Ramesh (rakeshr@usc.edu), Pradeep Thalasta (thalasta@usc.edu) Introduction: The recent success of … Read more

Combining card games and topic modeling Nov 27, 2017 This article sparked an interesting discussion on reddit and was featured by Wizards of the Coast. One of the coolest projects I’ve … Read more

An overview and implementation in R Oct 31, 2017 Customer satisfaction for a product — Satisfied vs Dissatisfied (Source: pixabay.com) Have you ever come across a situation where you want to predict a … Read more

Oct 20, 2017 In the second of four informal discussion sessions, Professor Maurits Kaptein from Tilburg University discussed the methodological challenges of data science. ‘’Before discussing the biggest challenges we … Read more

Aug 15, 2017 Credits: Presenting abridged version of these blogs to explain the idea and concepts behind pix2pix and cycleGANs. Christopher Hesse blog: Olga Liakhovich blog: Pix2Pix: paper: https://phillipi.github.io/pix2pix/ pix2pix … Read more

I’ve said yes to far too many hidden units Part of the How I’m Learning Deep Learning Series: Part I: A new beginning.Part II: Learning Python on the fly.Part III: … Read more

While replicating the End-to-End Deep Learning approach for Self- Driving Cars, I was frustrated by the lack of visibility into what the network is seeing. I built a tool to … Read more

Implementing the Perceptron Perceptron is one the most elegant yet easy to implement learning algorithms. Though most packages/libraries provide implementation for this algorithm, let us try our hand on it … Read more

Aug 13, 2016 “From the barren landscapes inside our personal devices come furtive anthems hummed by those digital servants who will one day be our overlords” A.I. winter The idea … Read more

This will make your life easy. Thank me later Oct 8, 2015 Photo by Markus Spiske on Unsplash Shell Commands are powerful. And life would be like hell without shell is how … Read more