Machine Learning Solution
Reach new technological capabilities with our machine learning services & deep learning consulting.
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Machine learning competencies
Maximize your business potential with CodeIT’s machine learning expertise. Optimize processes, predict outcomes, and create innovative strategies for lasting success.
With machine learning models trained on historical data, the tasks that demand forecasting, price predictions, seasonal fluctuations, and trends are solved much easier. Time series forecasting should become an integral part of the workflow for companies operating on markets with high volatility.
- Time series classification
- Confidence interval estimation
- Stock market prediction
- Time series clustering
Based on machine learning algorithms, image analysis solutions can understand visual content and extract relevant information pertaining to object identification, recognition, and evaluation.
- Face recognition and modeling
- Biometric verification
- Image reconstruction
- Video analysis
- Activity recognition
- Gesture and emotion recognition
Predict market trends, behavior patterns, product sales, and more by extracting and analyzing past and present data. Predictive analytics will help predict and prevent potential issues, assess risks by ensuring better decision making.
- Predictive models
- Descriptive models
- Decision models
CodeIT Machine Learning specialists create applications to recognize, process, and interpret unstructured written and oral natural language to extract meaningful information and value. We help companies from various industries improve their daily workflows using NLP outcomes.
- Machine translation
- Question answering
- Sentiment analysis
- Speech recognition
- Semantic analysis
Leveraging machine learning capabilities, our data science team implements recommender systems critical in delivering personalized customer experience. Recommender systems are indispensable for e-commerce sites due to their ability of offering relevant suggestions to users. Thus, we help companies win their customers’ loyalty, significantly increase conversions and boost revenue.
- Collaborative filtering
- Content-based filtering
- Hybrid recommender systems
The goal of anomaly detection is to identify unusual objects, events, or behavior in datasets that differ from the majority of data. The application of anomaly detection techniques is of great value in detecting intrusions, fraud, security issues, text data anomalies, health problems.
- Unsupervised anomaly detection
- Supervised anomaly detection
- Semi-supervised anomaly detection
Get your custom machine learning solutions
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Machine learning platforms we use
Rely on trusted platforms to build cutting-edge ML-enabled solutions. Get fast, scalable, and insightful results that help your business grow.
Google ML
As machine learning service providers, we’ve been following the development of ML solutions from Google and their cooperation with companies such as DeepMind for a long time. Our experts use TensorFlow not only to do scientific research but to develop machine learning solutions for your business.
Azure ML Studio
Another great platform, this time from Microsoft. One of the favorite cloud platforms of our specialists, which they use to quickly build machine learning products and grant ML as a service culture within our company.
AWS Machine Learning
Our experts prefer the Amazon platform due to the fact that they provide the largest number of machine learning functionality. In addition, the cloud-based nature of the platform allowing rapid install and setup. We use SageMaker service to create ML models that meet your business logic and bring you useful deep learning data.
Machine learning aorkflow
Business task understanding
We begin by thoroughly analyzing your business challenges and objectives. It helps understand what solution you need and what attainable result should be achieved.
- Create a communication environment
- Define project requirements
- Define task objective
- Establish success metrics
- Create a clear roadmap for development
Data Exploration
CodeIT experts analyze data’s structure and quality to identify opportunities and potential roadblocks early on.
- Discover data insights
- Analyze data sources
- Evaluate the data’s relevance
- Identify missing or inconsistent data points.
- Plot graphs, visualization
- Domain knowledge reception
Data Preparation
We help achieve accurate forecasts and ML-driven insights by preprocessing, transforming, and enriching your datasets.
- Clean data by removing duplicates
- Normalize and transform data for consistency
- Perform feature engineering
- Split data into training, validation, and testing sets
Modeling
Our experts design and train ML models using the prepared data. We evaluate the performance of a model and adjust it to specific use cases.
- Select the best algorithms for defined use cases
- Train models using prepared datasets
- Define loss function and metrics
- Conduct parameter tuning
Evaluation / Validation
We conduct iterative testing to ensure your ML model meets the defined objectives, measuring model accuracy and reliability.
- Test models
- Estimate performance scores
- Conduct cross-validation
- Identify areas of underperformance
Deployment
CodeIT specialists deploy the developed ML mode. Moreover, we can integrate it into your software solutions to enable seamless user experience.
- Deliver ML model
- Prepare production-ready solution
- Conduct metrics logging
- Integrate the model into existing systems
- Automate workflows
- Collect user feedback
Industries we empower with ML expertise
Develop a cutting-edge solution tailored to meet the unique challenges of the industry. Incorporate specific features and data-management workflows.
Healthcare
Revolutinize patient care by delivering data-baked insights, enabling predictive diagnostics, creating personalized treatment plans, and more.
Fintech
Make smart financial decisions and provide insightful recommendations. Conduct fraud detection, risk assessment, personalized banking, and algorithmic trading with ML models.
E-commerce
Streamline user engagement and enable smart inventory management with accurate demand forecasts. Implement personalized recommendations and dynamic pricing.
E-learning
Empower online learning with ML-driven tools, enabling intelligent tutoring, adaptive learning pathways, and personalized content delivery.
Logistics
Optimize supply chain management with demand forecasting. Cut product delivery costs by developing optimized routes.
Manufacturing
Maximize product line productivity by detecting bottlenecks and hidden patterns. Enable predictive maintenance to manage equipment health effectively.
FAQ
Machine Learning is solving a huge number of problems right now. The range of this technology application is truly immense: from spam identification and customer segmentation to predicting behavioral patterns\trends prediction and video materials recognition.
Of course, and it will be in demand for a long time in the future. However, one should not forget about such a phenomenon as hype, but nevertheless, it is safe to say that at the moment the labor market of Machine Learning specialists is up-and-coming.
The most popular languages among machine learning specialists are Python, C/C ++, R, and Java.