Customer awareness, customer engagement, monetization — here is the base which the sales funnel is built on. But this is just a general plan. If you develop and promote a subscription app, then we are talking about seven or more stages. Let’s figure out how to create a funnel for this kind of mobile service and how to evaluate its effectiveness at each stage.
To create the funnel, imagine the user path of your potential subscriber.
First of all, the user sees the advertisement of your app and starts to be aware of it. That’s why it is important to…
NLP is one of the main directions of our work at Poteha Labs. We do text analysis, chatbot development and information retrieval. Therefore, we regularly use Flair, Natasha, TensorFlow and Pytorch, NLTK, sometimes encountering languages other than English. Existing solutions are not always suitable for every problem we face: some are difficult to launch, others are too complicated and heavy.
Consequently, we’ve compiled our own Docker image with all the convenient frameworks for NLP, including deep learning. It suits almost 80% of our tasks and saves time for installing the frameworks.
Generally, the majority of data science solutions are now…
Developing 1d/2d data container and transformers for data analysis
Each problem in data science is based on data. Before analysing any data this data usually needs to be preprocessed. Preprocessing can be a
simple filtering or something more complex such as transformation as well as
For Python programming language the most popular library for working with 1d/2d data sets is Pandas. For 1d data such as a sequence of numbers pandas.Series object is very appropriate. For 2d data such object is called pandas.DataFrame. Pandas objects are great for storing and transforming in-memory data both for quantitive and categorical…
If you ever faced a Deep Learning problem you have probably already heard about the GPU (graphics processing unit). It’s mostly used for computational graphics (rendering) but not limited to. When NVidia first released CUDNN, a high level API (called CUDNN) for it’s cards, Deep Learning training speed dramatically increased and the Deep Learning Industry saw considerable growth!
CEO at Adapty; Rock climber&mountaineer