Deploying JupyterHub with Kubernetes: A Step-by-Step Guide Author: Harsh Patel JupyterHub is a powerful tool for deploying and managing Jupyter Notebooks at scale. With JupyterHub, you can provide multiple users with access to a shared Jupyter Notebook server. This can be useful in a variety of settings, such as classrooms, research groups, or companies that […]
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Author: Ani Madurkar Industry Data Science has diverged into a few dominant verticals as the field has matured, but the primary specialty has been Enterprise Machine Learning (with Product-centric Data Science as a close second). The realm of Enterprise Machine Learning, so far, has looked quite similar to how Kaggle looks — hacky ML notebooks
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Author: Igor Pshenychny Jupyter Notebook has become the de facto standard for data analysis. An acronym of the three main coding languages it supports: Julia, Python, and R, Jupyter Notebook provides a user-friendly integrated development environment (IDE) and has been evolving over time to become a go-to tool for data scientists. Jupyter Notebook facilitates a
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Fulcrum Analytics announced their Agile Analytics Lab has been recognized as the Best Big Data Analytics Platform by the 2020 Tech Ascension Awards. Fulcrum’s Agile Analytics Lab is a cloud-based, big data analytics platform supplemented with professional services that allows clients to experiment with software, data sources, and technology not available within their own organization. The
GPU technology is an innovative option that can improve the speed of certain types of processes, namely those that can be performed using parallel processing which require computer systems to “think” and “learn” while processing data as quickly and efficiently as possible. For example, GPUs are used in everyday technology that requires real-time human language
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From business managers, to data scientists, to UX developers — anyone who works with data knows anomalies can be a chore to find and an even bigger chore to resolve. Incorrect or faulty data can cause a business to miss revenue opportunities or potentially make poor business decisions based on erroneous analysis. For organizations whose
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Given the current economic climate, many businesses are preoccupied with keeping the lights on and enacting damage control with their employees and customers. For such companies, less regard is being paid to the optimization of a business’ digital presence, even though web-based communication and commerce has been thrust upon us as the new normal. By
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Business decision makers rarely crave more reams of data. They really want well-defined, actionable insights from data that they can evaluate and consider for future actions. They also want confidence that they aren’t missing something critical in the data, either because the data is not being analyzed thoroughly or correctly, or worse… because the data
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