b.telligent Blog: Data Science

Child´s game "Guess Who": for Data Science enthusiasts

Read part 2 of the article to find out how Data Science can be used to develop the perfect winning strategy for the children's game "Guess Who?".

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b.telligent Blog: Data Science

Data Science for kids: how to win at "Guess Who?"

The child's game "Guess who?": How to win and which question you should definitely ask first in the game is shown in part 1 of the article series.

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b.telligent Blog: Data Science

Recommender systems 3: Personalized recommender systems

Part 3 shows the capabilities of personalized recommender systems, the advantages of machine learning methods, and outlines ways to measure the success.

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b.telligent Blog: Data Science

Recommender systems 2: Non-personalized processes

This blog post provides an overview of the underlying algorithms of modern recommender systems and facilitates the selection of suitable recommenders.

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b.telligent Blog: Data Science

Great Expectations

Data quality checks are important, but not always possible due to a lack of tools. This article shows how to close this gap using Pipeline Test.

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b.telligent Blog: Data Science

The second day of PAW 2019

On day two of PAW 2019 in Berlin we see how data science use cases can be integrated into companies in a value-generating way.

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b.telligent Blog: Data Science

The first day of PAW 2019

So that was Day 1 at Predictive Analytics World. Our colleague Dr. Michael Allgöwer reports on his impressions and explains the benefits of entropy.

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b.telligent Blog: Data Science

Building Blocks for intelligent Applications

Our blog post gives an overview of AWS AI Services: One way to integrate Artificial Intelligence into intelligent applications.

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b.telligent Blog: Data Science

Neural averaging ensembles

Find out how ideas from ensemble learning can be used to tailor neural network architectures for applications based on tabular data.

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b.telligent Blog: Data Science

Reinforcement Learning & Bayesian Statistics - Part 2

TensorFlow Probability is a hot new tool from Google. We blend it with some Bayesian Statistics to make reinforcement learning less data-hungry.

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b.telligent Blog: Data Science

Reinforcement Learning & Bayesian Statistics - Part 1

In this article, you will learn how Bayesian Statistics is related to reinforcement learning and might make the latter less data-hungry.

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b.telligent Blog: Data Science

Are you data-driven? Or is it the noise that drives you?

A modern organization should base decisions on data, not gut feeling. But what if that data contains more random fluctuation than meaningful information?

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b.telligent Blog: Data Science

Causal inference - the eternal question of "why"

Can we identify causes and effects in our data? Find the answer in our latest blog post - read it now!

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b.telligent Blog: Data Science

Serverless Data Science on AWS

Read the blog post now and learn about the possibilities of a "serverless" approach in general and with an example - read it now!

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b.telligent Blog: Data Science

Best Practice: Working with Paths in Python - Part 2

Read the second part of our blog post to see how you can save time cataloging data. Read it now!

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b.telligent Blog: Data Science

How Data Science can help choosing the right romper suit

Never buy the wrong clothing size for your children - Data Scientist & dad Dr. Michael Allgöwer knows how easy it is with Data Science!

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b.telligent Blog: Data Science

The Basic Ideas behind Recommendation Systems

How your company can benefit from the implementation of Recommendation Systems, read here!

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b.telligent Blog: Data Science

Predictive Analytics World 2018 - Day 2

You want to know what happened on day 2 of PAW in Berlin? Our Data Science Consultant Dr. Michael Allgöwer gathered all the information in this article.

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b.telligent Blog: Data Science

Predictive Analytics World 2018 - Day 1

Our management consultant Dr. Michael Allgöwer was on the Predictive Analytics World in Berlin and blogged about the highlights of the first day.

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b.telligent Blog: Data Science

MLflow: The new machine learning platform

Which functionalities does MLflow have and is this new open-source-platform even relevant? Here's where you'll find the answer!

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