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Geovisualization with Open Data
In this post I want to show how to use public available (open) data to create geo visualizations in python. Maps are a great way to communicate and compare information when working with geolocation data. There are many frameworks to plot maps, here I focus on matplotlib and geopandas (and give a glimpse of mplleaflet).
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7 AI Use Cases Transforming Live Sports Production and Distribution
Here are 7 powerful AI led use cases both for linear television and for OTT apps that are transforming the live sports production landscape.
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Graph Machine Learning Meets UX: An uncharted love affair
When machine learning tools are developed by technology first, they risk failing to deliver on what users actually need. It can also be difficult for development teams to establish meaningful direction. This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX.
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Deepfakes Security Risks
Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently.
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7 Steps to a Job-winning Data Science Resume
A resume plays a key role in bagging that dream data science job. We break down the nuances of a job-winning data science resume so that you can go ahead and transform your own resume.
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 The Book to Start You on Machine Learning
This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.
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Introducing Generalized Integrated Gradients (GIG): A Practical Method for Explaining Diverse Ensemble Machine Learning Models
There is a need for a new way to explain complex, ensembled ML models for high-stakes applications such as credit and lending. This is why we invented GIG.
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5 Ways AI Is Changing The Healthcare Industry
The healthcare AI market is expected to reach 28 billion dollars by the year 2025. With such exponential growth, AI is undoubtedly likely to bring some drastic changes in the healthcare industry. Let’s look at five ways of how AI has changed the healthcare industry.
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H2O Framework for Machine Learning
This article is an overview of H2O, a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks.
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Beginner’s Guide to K-Nearest Neighbors in R: from Zero to Hero
This post presents a pipeline of building a KNN model in R with various measurement metrics.
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The Book to Start You on Machine Learning