This is the next article in my series on AzureR, a family of packages for working with Azure in R. I’ll give a short introduction on how to use AzureVM to manage Azure virtual machines, and in particular Data Science Virtual Machines (DSVMs). Creating a VM Creating a VM is … Read moreAzureVM: managing virtual machines in Azure
Reflections on how data (or lack thereof) helps (or fails) policy makers in developing countries Foreword When I stood up to speak last Friday at the Steering Committee meeting between the Ministry of Education of Ivory Coast and TRECC — a partnership for transforming Education in cocoa producing regions, led by the … Read moreThe Power of Data
Gentle introduction on Neural Networks Nov 25, 2018 This series of posts on Neural Networks are part of the collection of notes during the Facebook PyTorch Challenge, previous to the Deep Learning Nanodegree Program at Udacity. Contents Neurons Connections Layers — Neurons vs Connections 3.1 Layers of Neurons 3.2. Layers of Connections — PyTorch Example … Read moreNeural Networks I: Notation and building blocks
A hands on guide for beginners on EDA and Data Science competitions Exploratory Data Analysis (EDA) is an approach to analysing data sets to summarize their main characteristics, often with visual methods. Following are the different steps involved in EDA : Data Collection Data Cleaning Data Preprocessing Data Visualisation Data Collection … Read moreExploratory Data Analysis (EDA) techniques for kaggle competition beginners
The popularization of blockchain will not depend on the users understanding its operation but on the existence of friendly and effective applications that solve real problems. Nov 22, 2018 Historically, each paradigm of the internet has had its killer application: before the web, it was email, with the original web … Read moreBlockchain can be the new paradigm of the net
(Photo by rawpixel on Unsplash) Nov 18, 2018 It’s A Career Change. Starting out as a data scientist may be the modern version of becoming a rock star but no-one really seems to be talking about what happens a few years further into your career. Analysing big data sets. Building models. … Read moreBecoming An Analytics Manager Isn’t A Promotion.
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