Tag: Data and analytics
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Google's EdgeTPU benchmarked vs Intel's Movidius
Posted on March 24, 2019, Level beginner Resource Length short
An article written by Frederik Bode about the first benchmark of Google's EdgeTPU Dev Board is in. Read about comparison is made against Intel's (first generation) Movidius Neural Compute Stick, and Google is the clear winner regarding inference time.
Tags data-and-analytics ai-and-machine-learning
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The data science behind Natural Language Processing
Posted on March 22, 2019, Level beginner Resource Length medium
John Thuma published this piece about the data science behind Natural Language Processing (NLP). Human communication is one of the most fascinating attributes of being sentient. We communicate in a variety of ways including speech and written symbols.
Tags miscellaneous data-and-analytics leadership-and-career
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Code Migration in Production: Rewriting the Sharding Layer of Uber's Schemaless Datastore
Posted on March 20, 2019, Level intermediate Resource Length medium
An older article by Jesper Lindstrøm Nielsen and Anders Johnsen about how Uber Engineering built Schemaless, their fault-tolerant and scalable datastore, to facilitate the rapid growth of our company.
Tags data-and-analytics
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How to run HA MongoDB on IBM Cloud Kubernetes Service
Posted on March 19, 2019, Level beginner Resource Length medium
A tutorial by Janakiram MSV about running highly available MongoDB cluster on IBM Cloud Kubernetes Service. IBM Cloud Kubernetes Service is a managed Kubernetes offering running in IBM Cloud. It is designed to deliver powerful tools, intuitive user experience, and built-in security for rapid delivery of applications that can be bound to cloud services related to IBM Watson, IoT, DevOps and data analytics.
Tags cloud-and-infrastructure devops-and-ci-cd data-and-analytics
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Seven tips on Firebase security rules and the Admin SDK
Posted on March 14, 2019, Level beginner Resource Length long
Posted by Hiranya Jayathilaka and Rachel Myers this article focuses on Firebase offers security rules -- a powerful mechanism that helps enforce the security and logical correctness of your apps. The backend services use security rules to authorize and validate the requests made by client apps, and make sure they adhere to the policies that app developers have put in place.
Tags data-and-analytics security-and-privacy cloud-and-infrastructure product-and-design
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Managing analysis workflows in geospatial data science with GNU Make
Posted on March 3, 2019, Level intermediate Resource Length long
Martí Bosch wrote this guide how to go about using Jupyter Notebooks while using iterative approach to both data analysis and software development. He will also explain how to avoid some bad practices. Many issues can be settled by choosing helpful file names, good organization, documentation and source control of the code.
Tags data-and-analytics ai-and-machine-learning miscellaneous backend-development
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Understanding stabilising experience replay for deep multi-agent reinforcement learning
Posted on March 1, 2019, Level advanced Resource Length long
An article by Parnian Barekatain in which she describes some basic concepts in Reinforcement Learning. She also provides you with the link to Udacity's free course on Deep Learning with Pytorch.
Tags data-and-analytics ai-and-machine-learning miscellaneous
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MySQL high availability framework explained – part one
Posted on February 24, 2019, Level intermediate Resource Length medium
This is three-part blog series, in which author explains the details and functionality of a High Availability (HA) framework for MySQL hosting using MySQL semisynchronous replication and the Corosync plus Pacemaker stack. Published by Prasad Nagaraj VP Engineering at ScaleGrid.
Tags backend-development data-and-analytics software-engineering devops-and-ci-cd
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Handling imbalanced datasets in machine learning
Posted on February 6, 2019, Level intermediate Resource Length long
An article by Bapriste Rocca about handling imbalanced datasets in machine learning. He searches and answer on question what should and should not be done when facing an imbalanced classes problem.
Tags data-and-analytics miscellaneous ai-and-machine-learning
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Understand TensorFlow by mimicking its API from scratch
Posted on January 7, 2019, Level beginner Resource Length long
An article by Dominic Elm about learning TensorFlow. TensorFlow is a very powerful and open source library for implementing and deploying large-scale machine learning models.
Tags software-engineering data-and-analytics leadership-and-career ai-and-machine-learning
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High availability and scalable reads in PostgreSQL
Posted on January 1, 2019, Level intermediate Resource Length long
A detailed primer on scaling PostgreSQL via streaming replication (with performance measurements) by Lee Hampton -- R&D Engineer at TimescaleDB. Despite popularity of PostgreSQL developers often still choose a non-relational (or "NoSQL") system over PostgreSQL, typically because of one reason: scale. Most developers still underestimate PostgreSQL native scalability.
Tags software-engineering data-and-analytics cloud-and-infrastructure architecture-and-apis leadership-and-career
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Enterprise-level data science: lessons from the front lines
Posted on December 29, 2018, Level beginner Resource Length medium
Blog post by Levi Brackman on best practices for enterprise level data science. Data science, machine learning (ML) and artificial intelligence (AI) are relatively new endeavors for enterprise-level business. Many companies are batch training as well as batch scoring ML models.
Tags data-and-analytics ai-and-machine-learning