Hire Machine Learning Developers

A technology-led business led by a passionate group of software and data specialists.

Every business, however, generates vast amounts of data; the process of making sense of it, on the other hand, is still a major challenge. With the sheer amount of data being collected by devices, sensors and facial recognition technology, it’s no wonder why this is such a complex problem to solve.

Most people can’t dedicate the time or resources necessary to process all of the data they’re collecting. This is where machine learning shines.

With the help of skilled machine learning experts with deep expertise in advanced machine learning techniques, we can assist you with difficult machine learning difficulties. For example, we’ve worked on building state-of-the-art neural networks that may be used for speech recognition, picture identification, and text analysis. We’ve also used machine learning to forecast and analyze stock market trends, user interests, disease diagnosis, and a variety of other things.

Several use cases that our machine learning developers have been working on

Our developers have worked on numerous vital cornerstone projects for many international businesses and hundreds of applications in a variety of industries. Here are a few examples of the projects we’ve worked on:

Recommendation Systems

Recommendation systems use machine learning algorithms to recommend products, services or content to users based on their previous interests and activity. We design these systems for more than just e-commerce purposes – like a movie recommendation system that could suggest films based on what the user has watched in the past.

Collaborative Filtering
Content-Based Recommendation
Machine Learning Classification
Personalized Search

Social Media Mining

Mining social media is a form of machine learning that has lately gotten a lot of attention. Our machine learning experts have created algorithms that may collect social media data and conduct analysis, gathering the behavior and replies of your target audience.

Sentiment Analysis
Opinion Mining
Personality Analysis
Collective Intelligence

Sale & Marketing Optimization

Machine learning is revolutionizing the sales and marketing industry by predictive analysis, product recommendation, and forecasting future consumer behavior. Our machine learning developers have worked on numerous projects to improve sales and marketing software with machine learning algorithms. With our experience, your company will be able to increase sales while also reducing costs.

Content-Based Image/Video/Text Recommendation
Collaborative Filtering
Predictive Modeling
Customer Segmentation

Medical Analysis

Our machine learning developers have extensive experience in the medical field, from analyzing records to predict diseases to using images to determine treatment outcomes.

Disease Prediction
Relevant Diagnosis
Treatment Monitoring
Drug Discovery & Development based on Genetic Analysis

Fraud Detection

We design machine learning algorithms not only to halt fraudulent transactions from occuring, but also of vital importance is post-event fraud detection and helping you lower theft losses while actively taking measures to improve the situation.

Credit Card Fraud Detection
Telephony Fraud Detection
eCommerce Fraud Detection
Document Fraud Detection

Financial Forecasts

You can use a machine learning algorithm to predict future value from past financial data (time series prediction). We create highly safe systems that utilize algorithms that may forecast future economic conditions and prepare for them right now.

Portfolio Management
Trading Prediction
Risk Management
Insurance Underwriting

The Process We Undertake to Develop a Machine Learning Model

We believe that even small businesses can benefit from the resource provided by our blog. We take pleasure in assisting companies like yours with their marketing efforts, and we will do this at a reasonable price tag for you. Our team has experience working with a wide range of industries, including manufacturing and technology. We work hard to provide you with creative solutions to industry problems, utilizing cutting-edge machine learning approaches. Working closely with clients, our machine learning experts solve complex issues using inventive methods and new technologies.

We take data from various sources and compile it to uncover patterns that we can use to generate models. These models can then be applied on a larger scale later on. When you hire us, these are the major steps our machine learning developer will go through:

Problem Definition

When we want a machine to do something for us, we first have to figure out what task we need it to complete. After that, we determine how accurate the results need to be and if there are any time or resource restraints. Usually, this problem-defining process involves getting training data for the machine learning algorithms too.

Data Preparation

This step may include some preliminary research into what kind of information is accessible, how it may be accessed, and how it can be analyzed. Any missing data might also have to be tracked down and acquired from elsewhere at this stage.

Model Training

The quality of a machine learning model can be measured by building test sets and testing how often the model’s predictions are correct.

Application in Real-Time

After we train the model, test it with real-time data to compare against a set of defined outputs. If it preforms well, we can then use for inference later on – sampling from new data sets and predicting likelihoods.

The Expertise of Our Machine Learning Programmers

We have a staff of skilled and experienced machine learning experts that have worked with top businesses in several industries to create effective solutions. Our team’s experience and skills have been helpful to organizations address various machine learning problems such as classifying customer products, detecting fraud, and determining which social media posts perform best.

We employ expert machine learning experts with the following abilities:

Working experience in the field of data science for over 12 years
Developing ML systems using cutting-edge technologies and tools like Python, R, H2O.ai, Spark/Scala, Scala, Scikit-Learn, Tensor Flow/Keras/PyTorch, Rattle, KNIME/Weka will help you understand how they work in practice.
Knowledge of statistical techniques and data analysis is required.
In-depth knowledge of how to tweak algorithms for better speed and efficiency
Experience in applying machine learning to business problems in a wide range of domains
Support Vector Machines (SVM), Stochastic Gradient Descent (SGD), Conjugate Gradient Method (CG) and other optimization techniques are used to develop a decision support system for customer experience management.
Familiarity with software development best practices and coding standards
Highest data compliance standards were adhered to.
Experts in many different areas of data analysis