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  • How to make your Python Docker images secure, fast & small

    How to make your Python Docker images secure, fast & small

    Exploring Image Layers and Implementing Multistage Builds
    Go to the profile of Björn van Dijkman
    Björn van Dijkman
    Feb 20, 2023
    How to Set Yourself Achievable Deadlines and Avoid the Planning Fallacy

    How to Set Yourself Achievable Deadlines and Avoid the Planning Fal...

    Never miss a deadline and always deliver projects on time
    Go to the profile of Andrei Pascanean
    Andrei Pascanean
    May 11, 2022
    How to use slim CI with dbt-core

    How to use slim CI with dbt-core

    Run modified or new dbt models on a limited dataset using Cloud Storage and Github Actions
    Go to the profile of Björn van Dijkman
    Björn van Dijkman
    May 11, 2022
    Lessons Learned 2021 Q4: challenges faced by a Machine Learning Engineer

    Lessons Learned 2021 Q4: challenges faced by a Machine Learning Eng...

    Tech 💾, Business 📈 and Personal 🤠. It’s all in there.
    Go to the profile of Andrei Pascanean
    Andrei Pascanean
    Apr 7, 2022
    How to enforce good Pull Requests on Github

    How to enforce good Pull Requests on Github

    Using a pull request template, labeler and a semantics file
    Go to the profile of Björn van Dijkman
    Björn van Dijkman
    Mar 2, 2022
    Getting Started with Dash — Web Dev for Data Scientists ✨

    Getting Started with Dash — Web Dev for Data Scientists ✨

    Find the final piece of the puzzle and present your hard work to stakeholders — beautifully.
    Go to the profile of Andrei Pascanean
    Andrei Pascanean
    Feb 8, 2022
    Radio DJs hate this one simple machine learning model [SpotifAI Part 1]

    Radio DJs hate this one simple machine learning model [SpotifAI Par...

    It’s Friday evening and you’re in a bar with your friends. One drink follows the other when a quite familiar song comes along.
    Go to the profile of Andrei Pascanean
    Andrei Pascanean
    Dec 2, 2021
    Why Data Scientists should write Unit Tests for their code

    Why Data Scientists should write Unit Tests for their code

    A practical example of testing your code using Pytest
    Go to the profile of Björn van Dijkman
    Björn van Dijkman
    Oct 18, 2021
    Understanding Neural Networks

    Understanding Neural Networks

    Understanding neural networks better by approximating f(x) = x² using the universal approximation theorem.
    Go to the profile of Jasper Derikx
    Jasper Derikx
    Jun 16, 2021
    What’s in a name? A perspective on emerging data science roles

    What’s in a name? A perspective on emerging data science roles

    With the field of data science maturing, so are the titles of the people working in the field. For a long time, my colleagues and I mainly…
    Go to the profile of Lieke Kools
    Lieke Kools
    Apr 23, 2021
    Speed up your Python development workflow in 5 minutes with pre-commit and Makefile

    Speed up your Python development workflow in 5 minutes with pre-com...

    Go to the profile of Bart van Aalst
    Bart van Aalst
    Jan 5, 2021
    3 overlooked issues for business managers when working with data scientists

    3 overlooked issues for business managers when working with data sc...

    Theory translated to practical examples, from a data scientist’s perspective
    Go to the profile of Loek Gerrits
    Loek Gerrits
    Nov 13, 2020
    Everything (junior) Data Scientists always wanted to know about software development but were…

    Everything (junior) Data Scientists always wanted to know about sof...

    Some years ago, I used to think I was a data scientist because I was able to understand and implement ML, I had experience with data in…
    Go to the profile of Max Del Vecchyo
    Max Del Vecchyo
    Oct 13, 2020
    Wildlife Protection with Image Recognition

    Wildlife Protection with Image Recognition

    This blog illustrates along a tangible real-life example how computer vision can be of value in the area of wildlife conservation
    Go to the profile of Mike Kraus
    Mike Kraus
    Sep 24, 2020
    Representations from Rotations: extending your image dataset when labelled data is limited

    Representations from Rotations: extending your image dataset when l...

    Deep learning networks benefit greatly from large data samples. State-of-the-art image classifiers and object detectors are all trained on…
    Go to the profile of Richard Bartels
    Richard Bartels
    Jun 11, 2020
    Image Recognition in practice

    Image Recognition in practice

    How can AI improve the busiest railway network of Europe.
    Go to the profile of Jasper Derikx
    Jasper Derikx
    Jun 3, 2020
    Het scoutings-algoritme van Almere City FC

    Het scoutings-algoritme van Almere City FC

    Met behulp van data science is Almere City FC in staat spelers in kaart te brengen die over het hoofd gezien worden door de concurrentie…
    Go to the profile of Loek Gerrits
    Loek Gerrits
    May 25, 2020
    COVID-19: het interpreteren van getallen in context

    COVID-19: het interpreteren van getallen in context

    Een korte blog over hoe cijfers in perspectief gezien moeten worden wanneer deze de revue passeren in de media.
    Go to the profile of Loek Gerrits
    Loek Gerrits
    Mar 26, 2020
    How to understand your complex machine learning algorithm, and why you should use SHAP.

    How to understand your complex machine learning algorithm, and why ...

    Spoiler alert: you should use SHAP to understand your complex machine learning algorithm.
    Go to the profile of Max Del Vecchyo
    Max Del Vecchyo
    Jan 23, 2020
    Taking Python beyond your local machine with Docker

    Taking Python beyond your local machine with Docker

    You’ve been coding with Python for a while, but have always ran your scripts on your local machine. You want to take it to the next level…
    Go to the profile of Chiel Fernhout
    Chiel Fernhout
    Jan 21, 2020
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