AVADA-MEDIA

Machine learning in C ++

Machine learning in C ++

AVADA-MEDIA

Machine learning in C ++ AVADA-MEDIA

Today’s trends – artificial intelligence, neural networks and machine learning – are a real breakthrough in the field of data science and in the technological progress of mankind as a whole. In the very near future, such technologies will be able to unrecognizably change many, if not all, areas of human activity. Medicine and industry, science and education, logistics and stock trading – everywhere the principles of machine learning are used, which is at the intersection of mathematics, mathematical statistics and optimization methods.

Machine learning in general is associated with the creation of self-learning algorithms. Distinguish between inductive learning, associated with identifying patterns in individual cases, and deductive, when the program makes a decision based on ordered information from the available database. When developing machine learning algorithms, we use both approaches depending on the tasks at hand.

Machine learning algorithms created by AVADA MEDIA are successfully applied in many industries. We can build C ++ machine learning systems for:

  • marketing tasks: analyzing user behavior and predicting it for the purposes of advertising campaigns;
  • logistic tasks and security objectives: recognition and classification of objects and photographs;
  • work with natural languages: programming voice chat bots, speech recognition systems;
  • the purposes of clustering and ordering data;
  • data visualization;
  • to create recommendation systems for online stores.

We develop custom machine learning software, providing ready-to-use boxed solutions that maximally take into account the specifics of your business. We offer solutions that can significantly change for the better all business processes of your company:

  • accurate data analytics;
  • excellent scalability and the ability to work with large amounts of data;
  • optimization of business processes and development of the most effective business strategy;
  • adaptation of processes and practices to changing circumstances;
  • ultimately – reduction of non-production costs and minimization of risks.
Machine learning in C ++

Benefits of building machine learning systems in C ++

AVADA-MEDIA

Benefits of building machine learning systems in C ++ AVADA-MEDIA

The C++ programming language is often used in creating high-load, or high-load, systems. Online games are an example, but they also include machine learning applications. At the same time, the C++ language is distinguished by its high efficiency in the use of system resources, ensuring fast operation of client-server applications even under high loads. In addition, C++ code is platform independent, universal, and works equally well on a variety of devices.

This is why so many applications and programs are written in C++ for embedded systems, that is, for various non-computer devices – vendor machines, telecommunication systems, sensors and unmanned vehicles. If we talk about machine learning technologies, then after the Python programming language, C++ ranks second in popularity for this purpose among users of GitHub collaborative development.

This high position is partly due to the presence of Google’s TensorFlow library of machine learning algorithms, which is also used by Python developers.

Another reason is Microsoft’s high-performance gradient boosting platform LightGBM, which significantly increases the efficiency of machine learning models, as well as the Turi Create library, which makes the development of custom models accessible to novice developers.

Widely used for developing ML applications in C++, the open source XGBoost framework (also works with Python, Java, R) ensures maximum exposure of all the best aspects of the C++ language: efficiency, flexibility, speed, versatility. XGBoost focuses on increasing computational speed and is great for solving classic machine learning problems: regression, classification, ordering. The framework is very widely used in Data science.

Thus, the C++ language has high performance, versatility and comprehensive support from a wide international community of programmers. This means that the machine learning application we write in C++ will be fairly easy to scale, maintain, and develop in the future through the efforts of other developers.

Machine learning in C ++

Why you should trust the development to us

AVADA-MEDIA

Why you should trust the development to us AVADA-MEDIA

AVADA MEDIA is one of the leading Ukrainian software developers in various fields. We work with clients all over the world and take on the most complex projects. Our team has excellent middle and senior C ++ programmers, we adhere to the principles of Agile in development and use the Scrum agile

development framework, which is ideal for complex, innovative projects focused on the open market with its constantly changing requirements. You can familiarize yourself with our projects in the field of machine learning and the portfolio in general on our website.

Fresh works

We create space projects

Fresh works

The best confirmation of our qualifications and professionalism are the stories of the success of our clients and the differences in their business before and after working with us.

Our clients

What they say about us

Our clients What they say about us

Successful projects are created only by the team

Our team

Successful projects
are created only by the team Our team

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