Itransition’s machine learning consultants provide strategic guidance throughout ML development projects. Starting with goal-setting and analysis of your business processes and data sources, we offer scenarios for business process optimization with machine learning algorithms, define the expected results, select technologies, and outline the development scope.
Depending on the available data and outlined business goals, we offer optimal ML modeling algorithms. To prepare rich and healthy data sets for effective modeling, we handle all data-related processes, including data collection, cleansing, and structuring. We use ready-made ML models as well as build custom ones, assessing their effectiveness so that trained data fulfill its business tasks correctly and stably.
We shape ML models into fully functioning AI solutions or integrate them into enterprise software to augment its capabilities. Our ML experts ensure that machine learning solutions operate smoothly within software ecosystems and perform properly without jeopardizing the integrity and operation of deployed systems.
As part of machine learning services, Itransition builds, trains, validates, and deploys tailored ML models that discover patterns and learn from the provided datasets and historical data. Our team delivers custom models that become the basis of intelligent business solutions adjusted to your specific requirements.
Itransition enriches ready-made ML models with custom data pre-processing scripts for vectorizing data, removing outliers and correlations. Uploading the prepared dataset, we configure ML models in line with your objectives.
Itransition runs training algorithms that find dependencies across disparate datasets, including structured and unstructured, human-generated and system-provided data.
Our engineers evaluate the results generated by ML models and fine-tune their parameters continuously until the results become acceptable.
Our team wraps the ML model source code into a separate container, publishing it to the required platform, so you can start getting benefits from freshly generated data.
At Itransition, we develop custom algorithms to accumulate, structure and sort out large sets of raw data to trace insightful patterns that can be further used in data-driven research, forecasting, and decision-making.
Itransition’s machine learning experts build applications to decipher, interpret, and extract value from unstructured written and oral natural language. We also help companies across various industries to leverage the NLP outcomes in their daily workflows.
Our machine learning consulting company implements image processing and ML algorithms to develop optical character, image and video recognition solutions that understand and predict visual input.
Itransition develops ML solutions that can assist or substitute employees in repetitive activities. These solutions help reduce the staff’s overall effort, minimize the risk of human errors, and make daily processes more productive.
Our team implements recommender systems based on collaborative filtering, user demographics and preferences. We utilize ready-to-use services like Strands, Azure Machine Learning, and Google Cloud, and build the solutions from scratch with Hadoop, Spark and Python deep learning libraries.
Built at the intersection of data mining, reporting, visualization, recognition APIs, and advanced ML models, machine learning apps by Itransition provide you with a 360-degree view of your customer and business performance, while offering personalized recommendations and automating business processes.
Our solutions are designed to single out valuable insights regardless of the source data volume, nature, and structure. With this refined information on hand, decision-makers can have a clear understanding of the market state, industry trends, and customer behavior, as well as take well-grounded steps to make their enterprises prosper.
Leveraging ML capabilities, particularly of intelligent assistants and recommendation engines, we help companies increase their service personalization and win their customers’ loyalty. Our applications cover the full scope of business-to-customer interactions and dig through bulks of data to provide vital knowledge about customers.
We apply our industry expertise to help enterprises adopt machine learning solutions as part of their business automation programs. Our systems foster enterprise processes at different levels, from sophisticated business planning and strategizing to commonplace emailing and surveying, all based on finely tuned ML models.
Python is our top choice for versatile machine learning projects owing to its flexibility and stability. With a plethora of ready-to-use frameworks and libraries, such as TensorFlow, PyTorch,Scikit-learn and Pandas, there are almost no ML tasks impossible in Python.
R is part of our ML technology stack that allows us to excel in complex data analysis and visualization projects. With a multitude of available packages, R is our must-have tool for statistical modeling, plotting, and data exploration.
We rely on C++ when it comes to creating highly performing machine learning models from scratch. The power of C++ is exactly what we use to deliver custom ML solutions with sophisticated features.
Java is our programming language of choice for handling data science and deep learning challenges and preparing data for ML modeling. We include Java in our toolkit to deal with all types of neural networks and apply open-source ML frameworks efficiently.
We rely on pre-trained third-party services that offer image, gesture and video processing, speech recognition, text analytics, semantic search, and bot development tools. Ready-to-use interactive canvas coupled with pre-configured components enable us to jumpstart custom classification and regression model development for your particular business case.