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Towards Data Science 08/13/2020 09:57
An introduction to python libraries for working with GeoTiff or satellite images. Reading images is super easy in python, as there are many libraries available for reading, editing, and visualizing different formats of images. Examples of these libraries are Matplotlib, OpenCV, Pillow, etc. These libraries work perfectly well with popular image formats such as .png, .tiff, .jpg, .jpeg, etc. but they don’t seem to work for GeoTiff images. The reason can be easily guessed if we understand how GeoTiff format is different from other image formats. A simple definition would be something given below. A GeoTIFF is a standard .tif or image file format that includes additional spatial (georeferencing) information embedded in the .tif file as tags. B.
Towards Data Science 08/13/2020 09:49
Photo by Kelly Sikkema on Unsplash. By — 9 min read. Smartwatches and other wearable devices have gained popularity over the past couple of years and have given rise to the cultural phenomenon of the “Quantified Self”. Devices such as the Apple Watch or Fitbit have made it possible for anyone to easily self-track and thereby quantify their lives in some way. Image by Lorenzo Cafaro from Pixabay. By — 14 min read. Maybe you’re an investor trying to decide whether a stock is worth investing in. Maybe you’ve only recently heard of Bayesian inference and want to get a sense of how it can be applied in the real world. Maybe you’re a seasoned analyst who stumbled upon this article and found the title interesting. Image by Author [Marc Kelechava]. By —
Towards Data Science 08/12/2020 21:53
So you are ready to hire a data scientist? A generalist or a specialist? Throughout my 10-year career, I have seen people often spend their time and energy in passionate debates about what data science can deliver, and what data scientists do or do not do. I submit that these are the wrong questions to focus on when you are looking to hire for your data department. In actuality, your current value proposition determines what data science means for your company, and hence the role and responsibilities of a data scientist in your ecosystem. Instead of embarking on an impossible task to define data scientists in absolute terms, and hoping for an industry-wide consensus on it, think about the role in an alternative way. Define your company’s da.
Towards Data Science 08/12/2020 21:48
A list of things you can build with language models — not just GPT-3. Natural language processing is more approachable than ever. Natural language processing (NLP) is everywhere lately, with OpenAI’s GPT-3 generating as much hype as we’ve ever seen from a single model. , the flood of projects being built on GPT-3 is not down to just its computational power, but its accessibility.

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