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  1. 19 mrt.

    I’ll be discussing the role of machine-learning in building a better product ’s on 03/20! RSVP here:

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  2. 13 mrt.

    driven insights mined from data during hurricanes Irma & Harvey. Analyzing aggregate human driving behaviour in times of crisis. We have also published a technical paper on this at the IEEE IoTD 2018.

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  3. heeft geretweet
    5 mrt.

    Discover the future analytics will play in the expanding universe of IoT? at 2018 Real Business Intelligence® Conference . Dr. Ella Hilal describes the advanced ecosystem (soon to be): dynamic, adaptive and fluid. Details here:

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  4. 9 mrt.

    Happy international Women’s Day. Here is to STRONG women; May we KNOW them, May we BE them, and may we RAISE them.

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  5. 6 mrt.

    Do you know what is the GDPR? Are you ready for it? Here are the key pieces of information you need to keep in mind.

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  6. 3 mrt.

    Wanna learn TensorFlow? Here is a link to a limited-free book from Packt. "Building Machine Learning Projects with TensorFlow". Enjoy!

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  7. 26 feb.

    It is essential to make sure that we are de-baising our models. Model biases exist in word embeddings, facial recognition and many other applications. Remember models only learn what is in the data. So watch out for hidden biases

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  8. 23 feb.

    Beating the Stats :) Happy Friday everyone.

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  9. 20 feb.

    To all data science newbies, great description of bagging and boosting.

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  10. 19 feb.

    Anyone can make mistakes --Be skeptical of your results!

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  11. 17 feb.

    Happy belated Valentine's day the data science way.

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  12. 17 feb.

    A data scientist motto "Everything Should Be Made as Simple as Possible, But Not Simpler" - Albert Einstein

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  13. 13 feb.

    Precision or positive predictive value is the fraction of true positive instances selected by the system among all the instances selected by the system as true. It is not accuracy but represents how good is your system when it comes to selecting true values.

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  14. 9 feb.

    Feeling like Jon Snow, “You know nothing”, start with Andrew Ng’s AI course on Coursera. It covers the fundamentals and introduces key concepts.

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  15. 8 feb.

    Precision refers to the closeness of two or more measurements to each other. Precision is independent of accuracy. You can be very precise but inaccurate. You can also be accurate but imprecise.

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  16. 7 feb.

    To me, accuracy of a model is never enough, I always need to calculate at least the precision, recall and F1-score.

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  17. 6 feb.

    With messy data, curiosity killed the cat, but satisfaction brought it back.

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  18. 5 feb.

    In a complex big data world, we need curious data scientist that are inquisitive and have high attention to details. Always ask why you are seeing what you are seeing and what does that mean.

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  19. 2 feb.

    If you want to be a good data scientist focus on maximizing the value your model brings from the data, not your model. Your model is a means, the value is your ends.

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  20. 1 feb.

    The use of data analytics can derive insights in all walks of life. Clear data results shows gender bias even in movies.

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