It is important not only to build and train a model, but also to serve it in the production. Thus, this article might be a great starting point:

Deep learning in production with Keras, Redis, Flask, and Apache

https://www.pyimagesearch.com/2018/02/05/deep-learning-production-keras-redis-flask-apache/?utm_source=opendatascience

#dl #deeplearning #keras #production

XGBoost deployment made easy

Rather obscure way to serve XGBoost models, but still works.

Link: https://towardsdatascience.com/xgboost-deployment-made-easy-6e11f4b3f817

#production #xgboost #deployment

Curious About How To Be A Data Scientist? Hear From A Netflix Data Scientist

Article about how data science #production works. How problem should be defined and how project should be maintained and run.

https://towardsdatascience.com/a-peek-into-a-netflix-data-scientists-day-66bf3dacabb9

#OpenDataScience community (ods.ai) recently released Open Machine Learning Course. This is a community-driven course, covering #production, #Kaggle (actually #CompetitiveDataScience, but we use this hashtag for the first time), #DL, #RL, #ML and validated on the russian-speaking DS community, which was translated into english.

There are lots of assignments and some competitions during the course. Interactive rating highly motivates and makes it fun to participate.

Next session starts on October 1. Welcome!

Link: https://mlcourse.ai?utm_source=telegram&utm_medium=opendatascience

Deploying a Machine Learning Model as a REST API

Yet another #tutorial on how to serve #production model with flask.

Link: https://towardsdatascience.com/deploying-a-machine-learning-model-as-a-rest-api-4a03b865c166
Github repo: https://github.com/mnguyenngo/flask-rest-setup/tree/master/sentiment-clf

3 articles on practical #ExploratoryDA in Spark

These articles might be useful for those, who just starting their Hadoop Path as long with those, who want to learn how to create fast-and-dirty dashboards with #Zeppelin


Links:
http://blog.madhukaraphatak.com/statistical-data-exploration-spark-part-1
http://blog.madhukaraphatak.com/statistical-data-exploration-spark-part-2
http://blog.madhukaraphatak.com/statistical-data-exploration-spark-part-3

#Spark #Hadoop #production #BigData

​​Building Automated Feature Rollouts on Robust Regression Analysis

Nice article on important thing — statistical analysis of hypothesis testing. Every new feature or change made to existent one is basically an experiment. Article covers how #Uber team handles this in live system.

Link: https://eng.uber.com/autonomous-rollouts-regression-analysis/

#Uber #statistics #production #truestory

​​Machine Learning-Powered Search Ranking of Airbnb Experiences.

Post on how #AirBnB DS team built custom search, including notes on how they approached problem and what business results they achived.

Link: https://medium.com/airbnb-engineering/machine-learning-powered-search-ranking-of-airbnb-experiences-110b4b1a0789

#ranking #search #reallifeds #production

Machine Learning Workflows

Pretty articel about how machine learning / AI works in the organization.

Link: https://skymind.ai/wiki/machine-learning-workflow

#management #production #workflow

​​Modeling Price with Regularized Linear Model & #XGBoost

Great example of applicable research for #production #ML.

Link: https://www.kdnuggets.com/2019/05/modeling-price-regularized-linear-model-xgboost.html

#novice #entrylevel