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FHMS

254 karma · joined May 4, 2015

Markus Schmitt Founder & Head of Data Science

www.datarevenue.com

https://www.linkedin.com/in/haikane/

submissionscomments

Detecting Covid-19 Outbreaks Through Wastewater Monitoring

datarevenue.com·1 pts·FHMS·
0

Comparing Managed ML Platforms: Dataiku, Alteryx, Sagemaker, DataRobot, Knime

datarevenue.com·3 pts·FHMS·
0

Streamlit vs. Dash vs. Shiny vs. Voila vs. Flask vs. Jupyter

datarevenue.com·7 pts·FHMS·
2

Task Orchestration: Airflow vs. Luigi vs. Argo vs. MLFlow vs. KubeFlow

datarevenue.com·4 pts·FHMS·
0

Building Blocks of Every Machine Learning Solutions

datarevenue.com·3 pts·FHMS·
0

Douglas Mason: How to Build ML Solutions for Twitter, Pinterest and Amazon Music

datarevenue.com·4 pts·FHMS·
0

Scaling Pandas: Comparing Dask, Ray, Modin, Vaex, and Rapids

datarevenue.com·92 pts·FHMS·
33

Best Cities to Live in by Month – Digital Nomads

datarevenue.com·3 pts·FHMS·
0

Sparsity: Sparse data processing toolbox – built on Pandas and Scipy

github.com·4 pts·FHMS·
0

Challenges and Solutions for Production ReCo Engines

datarevenue.com·1 pts·FHMS·
0

Summary of UseCases: Machine Learning in Marketing

towardsdatascience.com·1 pts·FHMS·
0

The Agile Machine Learning Workflow

datarevenue.com·1 pts·FHMS·
0

Overview of Machine Learning in Finance

datarevenue.com·3 pts·FHMS·
0

Scale Your Python Machine Learning Pipeline with Luigi, Docker, and Kubernetes

datarevenue.com·2 pts·FHMS·
0

AI in Medicine – The Top 4 Use Cases

datarevenue.com·2 pts·FHMS·
0

Analysing Nomad List: Trending Cities, Trending Climates and Trip Counts

datarevenue.com·1 pts·FHMS·
0

Everything I think a CEO should know about AI

datarevenue.com·2 pts·FHMS·
0

Building a city recommender for nomads ️ – with NomadList travel histories

datarevenue.com·1 pts·FHMS·
0

How I Built the ICO Platform Behind a 1 Mio Pre-ICO

medium.com·1 pts·FHMS·
0

How to find machine learning use cases

medium.com·3 pts·FHMS·
0

Bitcoin forecasts backed by distributed AI ledger

datarevenue.com·4 pts·FHMS·
0

Hire a former SoundClouder

docs.google.com·325 pts·FHMS·
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