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Data Scientist in the making

A curated list of articles from my continous learning journey

Automated Machine Learning — A Paradigm Shift That Accelerates Data Scientist Productivity @ Airbnb

At Airbnb, we are always searching for ways to improve our data science workflow. A fair amount of our data science projects involve machine learning, and many parts of this workflow are repetitive. These repetitive tasks include, but are not limited to:…

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A16Z AI Playbook

Artificial Intelligence (AI) is a set of computer science techniques that, as Stanford professor Andrew Ng is fond of saying, gives your software super powers….

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Deep learning for natural language processing, Part 1

The machine learning revolution leaves no stone unturned. Natural language processing is yet another field that underwent a small revolution thanks to the second coming of artificial neural networks….

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Airbnb is running its own internal university to teach data science

Tech companies, and increasingly even non-tech companies, are struggling with the fact that there are not enough trained data scientists to fill market demand….

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Deployment of Pre-Trained Models on Azure Container Services

This post is authored by Mathew Salvaris, Ilia Karmanov and Jaya Mathew….

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Open Source Business Intelligence

This article is an overview of some top open source business intelligence (BI) and reporting tools. These tools are built to simplify planning, analysis, and reporting with one software suite. List consists mostly of BI software that doesn’t require coding to set up and configure it….

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Guidelines for Telling a Great Data Science Story

People love stories. People can connect with stories. People remember great stories. Make your data tell a story. If you can make stories come alive with data, people will pay attention. There is no magic formula for a great story, data or otherwise….

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Python NLTK Tools List for Natural Language Processing (NLP)

NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to lexical resources such as WordNet.It also has text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning…

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polyaxon/polyaxon

Deep Learning library for TensorFlow for building end to end models and experiments. Modularity: The creation of a computation graph based on modular and understandable modules, with the possibility to reuse and share the module in subsequent usage….

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