Blog

Find out what our ML and Big Data experts think.

How to analyse any tabular data in less than 2 minutes?

Author: Adam G. Dobrakowski Redaction: Zuzanna Kwiatkowska   There is a simple way to analyse (almost) any tabular data in less than 2 minutes in a simple and efficient way. I will show you how to do it using only 2 Python tools: Jupyter notebook and Pandas profiling. No matter what our problem is, if the solution requires implementation of some machine learning model, we always have to start with data analysis. Let’s say we have a single table, where rows represent observations (for example people we analyse), and the columns represent their features (for example age, height, gender, etc.).

How To Automatically Select the Most Profitable Ad Creatives using Robust Neural Networks?

  Authors: Jakub Podolak, Krzysztof Chartanowicz   Every executive and marketing specialist knows how challenging it is to choose the best ad when managing multiple advertising campaigns. When you want to showcase your product using a visual ad, you want to choose one that gives you the highest possible performance, discarding the ones that are not engaging enough. One of the most popular performance metrics is the Conversion Rate (CR). It measures how many views of the ad resulted in an action which was significant for the business (for example in a sale). The more engaging the ad, the higher

How to improve digital ads effectiveness using Artificial Intelligence?

Many marketing and advertising experts are certainly permanently looking for the most cost-effective solutions for their on-line advertising campaigns to be more competitive on the market. Agencies and media operators are responsible for their clients’ marketing campaigns. They have to rely on measurement to optimize many campaigns’ metrics such as ROI, CR or profit. However, manually going through multiple campaign statistics can be very ineffective. Moreover, it is not possible to ensure by the human operators that the campaigns remain profitable on all domains, as this requires combining knowledge of many different statistics. The biggest challenge is that there are

Traps in sampling negative events

When obtaining information from our clients, we often receive access to data consisting only of positive events, e.g. a list of items purchased by each user or clicked ads. Many machine learning models need not only positive but also negative events to be able to correctly estimate the probability of a positive event. These could be items not bought by a user during his visit in the store (despite having a chance to buy them) or ads that the user saw but did not click on. In some projects, there are so many negative events that processing all of them

Artificial Intelligence for medicine

Thanks to the rapid development and remarkable efficiency of Artificial Intelligence, modern healthcare more and more often uses innovations related to this technology. We’ve recently mentioned our #femtech projects from the infertility treatment area and several other use cases, but what about other notable examples of the use of artificial intelligence in medicine? AI helps doctors to scan blood for harmful bacteria. In Beth Israel Deaconess Medical Center healthcare professionals use special, AI-enhanced microscopes and “make them learn” how to identify infections in the blood sample. Their accuracy of predictions reaches 95%! Modern technology is currently indispensable in drug discovery.

AI in legal contracts

There is no such thing as one, universal template for every type of legal contract. These kinds of documents are required in so many institutions and cases that it is impossible to rely on one model paper. Moreover, as tax and insurance law is getting more and more complex, it is increasingly difficult for tax offices or insurance institutions to prepare individual documents for every instance. Thus, in collaboration with Pergamin, a startup specializing in handling eContracts, we developed a tool for automatic semantic analysis of legal contracts. It aims to help Pergamin in the creation of legal contract templates

Posts
Our customers said...

Blog

Find out what our ML and Big Data experts think.

Follow us

Traps in sampling negative events

When obtaining information from our clients, we often receive access to data consisting only of positive events, e.g. a list of items purchased by each

Artificial Intelligence for medicine

Thanks to the rapid development and remarkable efficiency of Artificial Intelligence, modern healthcare more and more often uses innovations related to this technology. We’ve recently

AI in legal contracts

There is no such thing as one, universal template for every type of legal contract. These kinds of documents are required in so many institutions

April Fools’

Remember, on April Fools’ Day you should be intelligent, not artificial! We wish you only good jokes!

Get in touch

MIM Solutions can help develop AI in your company, please contact us and we’ll talk you through it.