Sun.Jun 05, 2022

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Deploying Django App on Google Compute Engine

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Compute Engine Compute Engine is computing and hosting service that lets you create and run virtual machines on Google infrastructure. It provides an IaaS (Infrastructure-as-a-Service) that allows clients to run their applications on Google’s physical hardware instead of their own hardware […].

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How business intelligence transformed care and efficiency at a Dutch special-needs nonprofit

CIO Business Intelligence

A few years ago, Philadelphia Healthcare realized it needed a digital transformation – the Amersfoort-based non-profit was faced with organizing a massive amount of data from about 9,000 clients, 7,000 employees, an extended network of 6,500 volunteers, and about 60,000 client family members. What it required was a solution that embraced data management and big-data trends to better streamline personalised management and client service for disabled adults needing residential, occupational, recre

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All About Restaurant Recommender

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Restaurant Recommender This case study covers a very important business problem which is recommender systems. as we are in rapid consumption of content and commodities ordered by online delivery apps. Challenges for these apps increase as they always want to keep […].

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The mission matters: Moving to climate tech as a data scientist

Data Science and Beyond

Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Support Vector Machine with Kernels and Python Iterators

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will cover the concepts of Iterators, Generators, and Decorators in Python. Later, we will discuss the Maximal-Margin Classifier and Soft Margin Classifier for Support Vector Machine. At last, we will learn about some SVM Kernels, such as Linear, Polynomial, and […].

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5 MLOps Best Practices with Real-World Examples

Domino Data Lab

Machine learning operations (MLOps) is more than just the latest buzzword in the artificial intelligence (AI) and machine learning (ML) community. Many companies are realizing they need a set of practices to efficiently get models built and into production, and MLOps does just that.