Post by afsana01 on Feb 13, 2024 5:43:27 GMT
If yes, you deserve praise, if not, Mirko's presentation should at least convince you that you are depriving yourself of profit. By using behavioral segmentation and prioritization of your database, you can target customers quite precisely. You just have to sort the work of customers into segments and organize them according to their expected benefit in the future . Take the RFM behavioral segmentation model as yours, realize that Recency is the most telling, then Frequency and finally Monetary,
and take this into account in your KPIs: Then WhatsApp Number List collect the source data, create the corresponding dashboards, integrate the segmentation into your CRM and don't forget to involve the marketers as well. In conclusion, Mirko's driving force for customer segmentation: View the entire presentation on customer segmentation . Jan Matoušek: Deep learning for everyone It may sound like science fiction to you as it does to me, but you are currently 80 lines of code away from functional artificial intelligence, albeit difficult according to Honzu Matoušek.
In practice, this means that in order to program your own neural network, you have to find the determination, choose the software, read the documentation, and you can happily start programming your own neural network that can distinguish a car from an elephant in a picture. Sure, it's not nuclear physics, but it has to start somehow. Just to get started, Jan recommends videos from Stanford University, Datacamp, and Coursera . And a complete tutorial on those 80 lines of code can be found on the Keras open source software blog . So on purpose - who will come to the next DATA reboot with their own neural network model? View the entire presentation on neural networks .
and take this into account in your KPIs: Then WhatsApp Number List collect the source data, create the corresponding dashboards, integrate the segmentation into your CRM and don't forget to involve the marketers as well. In conclusion, Mirko's driving force for customer segmentation: View the entire presentation on customer segmentation . Jan Matoušek: Deep learning for everyone It may sound like science fiction to you as it does to me, but you are currently 80 lines of code away from functional artificial intelligence, albeit difficult according to Honzu Matoušek.
In practice, this means that in order to program your own neural network, you have to find the determination, choose the software, read the documentation, and you can happily start programming your own neural network that can distinguish a car from an elephant in a picture. Sure, it's not nuclear physics, but it has to start somehow. Just to get started, Jan recommends videos from Stanford University, Datacamp, and Coursera . And a complete tutorial on those 80 lines of code can be found on the Keras open source software blog . So on purpose - who will come to the next DATA reboot with their own neural network model? View the entire presentation on neural networks .