Businesses from every sector are investing in a data science education programmes. Working at tech education company Decoded, I have found it fascinating to see the immense value data skills can bring to every sector — from banks and retailers, to charities and government. When embarking on such an initiative, there are … Read moreTraining your staff in data science? Here’s how to pick the right programming language
Nov 13, 2018 A few weeks ago finished TGS Salt Identification Challenge on the Kaggle, a popular platform for data science competitions. The task was to accurately identify if a subsurface target is a salt or not on seismic images. Our team: Insaf Ashrapov, Mikhail Karchevskiy, Leonid Kozinkin We finished … Read moreKaggle: TGS Salt Identification Challenge
The experiment was simple: could a machine learning (ML) model produce Golden Retriever images that people would mistake for being real? The reason for choosing dogs… was because dogs are awesome! In our current climate, we often hear the term ‘fake news’, and with ML models becoming more advanced, their … Read moreDOGNET: can an AI model fool a human?
If you missed the 1st installement of this series, Humans vs Robots is here. Prompted by advances in Generative Adversarial Networks (GAN), a year ago I tweeted a thread about telling apart pictures taken with a camera from generated pictures. Here is the updated version of that thread. A few … Read moreTelling Apart AI and Humans: #2 Photo VS GAN generated image
The future of data storage What is Data? How is it stored, processed, transferred? What is the cloud? Will we eventually run out of space?! These are the questions that populated my fatigued mind as I tried to relax after a long day at the Flatiron School. [Disclaimer: an immersive program … Read moreData Apocalypse!
Nov 5, 2018 What is PyTorch? It’s a Python-based package to serve as a replacement for Numpy arrays and to provide a flexible library forDeep Learning Development Platform. As for the why I prefer PyTorch over TensorFLow can be learned from this Fast AI’s blog post for the reason to switch … Read morePyTorch 101 for Dummies like Me
Austrian Quant The Austrian Quant is named after the Austrian School of Economics which serves as the inspiration for how I structured the portfolio. I designed a trading strategy composed of 3 different investment funds to gain a better understanding of investments, machine learning and programming and how they all … Read moreThe Austrian Quant: My Machine Learning Trading Algorithm Outperformed the SP500 For 10 Years
I have spent much of my career as a graduate student researcher, and now as a Data Scientist in the industry. One thing I have come to realize is that a vast majority of solutions proposed both in academic research papers and in the workplace are just not meant to … Read moreIndustrial strength Natural Language Processing
Introduction In this series, I’ll explain how to create a chat bot that is capable of detecting sentiment, analyzing images, and finally having the basis of a evolving personality. This is part 1 of that series. The Pieces Ruby Sinatra Google Cloud APIs Line (a chat client) Since I live … Read moreBuilding a Sentiment Detection Bot with Google Cloud, a Chat Client, and Ruby.
Things that could go wrong, and how to diagnose if they did. Oct 24, 2018 In this article, you get to look over my shoulder as I go about debugging a TensorFlow model. I did a lot of dumb things, so please don’t judge. Cheat sheet. The numbers refer to sections … Read moreDebugging a Machine Learning model written in TensorFlow and Keras