Machine Learning is a process in which a large number of tasks of similar analytical systems are solved, it identifies patterns and learns to make further decisions without human participation. Simply put, machine learning technology is based on finding patterns in the mass of information and choosing the best solutions from the ones presented.
In addition, machine learning is used in medicine and security control structures. In medicine, this is a preliminary diagnosis and selection of an individual treatment plan based on the patient’s medical history. And in the field of security – face recognition systems. The machine compares images of people from CCTV cameras with photos of people on the wanted list. With a high resemblance, she gives a signal to the police officers.
The main tasks that work with this AI using machine learning are:
- Regression. The system from the presented characteristics predicts the result in the form of numbers. For example, this way you can predict how much a Gazprom share will cost in a month or several years, as well as determine the budget for an advertising campaign, etc.
- Classification. The system determines the category of the analyzed object by a set of features. For example, you can identify spam in emails, or recognize which gender is in a photo.
- Clustering. The system divides the provided data array into categories. For example, a request to a company from customers can be divided into categories: according to advertising sources, type of requests, etc.
They get to their feet quickly
An artificial intelligence consulting firm that has worked on enough projects can tell you if your idea is promising in minutes, not days or weeks.
In 90% of cases, an experienced agency can tell you “Yes, it can work” or a confident “No” within ~ 15 minutes after you explain your problem, purpose and available data.
They cannot guarantee that you will get meaningful results at this stage, but they should be able to tell you which ideas are worth pursuing. You will still need to create a proof of concept to confirm that what you want to predict can indeed be accurately predicted with your data – and it will take no more than 8 weeks.
They are not afraid to say no to you.
Is a machine learning consulting services – Data-Science UA ready to work on each of your ideas?
Or will they give you the best solution, even if it’s not what you expected?
Many machine learning ideas are not a good idea upon closer inspection. If you don’t have the data you need or there is no clear path to a solution – even for experts – they should tell you.
Likewise, not every project will require AI.
Clients come to us regularly for advice on machine learning, when a simpler system can give them 90% of the results. In these and other cases, we often discourage the use of it and point them in the right direction to do it on our own or through standard software development consulting.
Not every project is possible. Even fewer worthy of attention.
Find a machine learning agency that can guide you on which ideas to ditch early and focus on use cases that will bring you results quickly.
They talk openly about their experiences.
Don’t let an AI consulting company hide behind an NDA. Privacy is a top priority in the data science world.
We have nondisclosure agreements with all of our clients, but we can still tell you who we worked with, what problem we solved and what the consequences were.
These cases should be accompanied by the names and contact details of the project managers of the companies they worked with.
Choose a trusted AI agency that has compelling references and gives you insight into the specific projects they’ve created, how they approached those projects, and what results they’ve achieved. Be sure to ask if these projects are exploratory or POC projects, or if they are actually used in the day-to-day work of their clients.
