Actio et reactio: understanding the impact of specific events is essential for business success.
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Use the concept of Shapley values to break open the blackbox.
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Know thy customer, flog thy product.
How RNN can get you further.
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Automated recognition and classification of objects in images or videos in real-time.
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Yesterday’s marketing interactions will convert to revenue with delay. Machine learning allows us to draw on more input data
and predict this delay detecting events such as Black Friday or seasonal effects.
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Why having a high-performing workstation on premises will enhance experimentational creativity, speed up prototyping and reduce cost.
This guide will jumpstart your ideas on what to buy given availability and pricing structure.
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Earning an MBA degree can be beneficial for people with a technical degree.
It is however not only a time, but also a big financial investment.
Self-study constitutes an excellent alternative.
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Up until 15 years ago, football was completely reliant on instinct and intuition.
These days, there is an abundance of data in professional football.
The next level of insights will be generated via machine-learning techniques.
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In most cases, actually not much beyond a function fit.
Let us illustrate this with a few examples.
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Deploying machine-learning models takes about 25% of data scientists' time, while
75% of the models never go beyond the experimental phase.
Automated deployment and retraining processes decrease the time to market and reduce operational cost.
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Dynamic attribution models produce more accurate results than rule-based models.
Very expensive marketing channels such as search-engine advertising (SEA) require the highest possible precision,
because misjudgements will lead to high and avoidable follow-up costs.
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