Machine Learning Development Services We Offer

Conversational AI/Chatbots

Conversational AI/Chatbots

Machine learning outsourcing services from our company include the creation of conversational AI and advanced chatbots that act and provide answers as if from a real person in accordance with the behavior and requests from the client.

Business Intelligence

Business Intelligence

Our business intelligence tools and approaches make it possible to create special software aimed at data mining. It transforms raw data sets into classified information and gives companies the foundation to make informed decisions and set priorities.

Computer Vision

Computer Vision

Computer Vision development services is a step towards taking advantage of the use of artificial intelligence to analyze and recognize objects in video and images and further classify the results into specific categories.

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Benefits of Machine Learning Development

01

Smart Decision Making

By contacting a qualified machine learning company with an extensive portfolio of relevant projects, you can get special algorithms that will process and analyze your data so that you can make informed decisions and optimize your business.

02

Enhanced Security

With high-quality machine learning software development services, you get access to advanced information protection and general digital security. Modern machine learning tools are able to detect and fix leaks, weaknesses, and even attacks.

03

Advanced Automation

Machine learning solutions development provides extensive automation tools, including text and voice recognition, automatic reporting, risk prediction, anticipating customer desires and creating an appropriate plan for further interaction, and much more.

Technologies We Use in Machine Learning Development

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CASE Studies

Our offshore development group is experienced in delivering real results to end users − study our projects to make sure of our competence!

Testimonials from Our Clients

How We Work on Machine Learning Development

Mangosoft offers digital solutions for a variety of industries so you can bring your ideas to life, keep your business up-to-date, and maximize your return on investment. Our goal is to provide you with specific results.

Collecting and Preparing Data

In the first step, we collect reliable data from reliable sources. They are necessary for the machine learning model to determine logical patterns. Once collected, the data is randomized, visualized, and divided into 2 sets for testing and training.

Training and Evaluating Model

In the second step, the machine learning model chosen for categorical or numerical data gets the classified data in order to fit patterns, generate predictions, and so on. We also test the performance of the model on previously unknown data.

Improving Model Accuracy

In the last step, we explore ways to improve the model by manipulating its variable parameters and ensuring that the accuracy is consistent at a particular value of a particular parameter. After that, the model is ready to be used on any data.

Frequently Asked Questions
What is the cost of a machine learning project?
If you make a choice in favor of outsourced machine learning solutions, then pay attention to the fact that the cost depends on a large number of factors: functionality, scale, technologies, collaboration models, goals, requirements, and so on. To get an estimate, contact the chosen machine learning software company, tell them your wishes and requirements, and request information about the approximate cost of the solution.
How long do machine learning development services take?
The duration of ML development depends on the scale of the project and the capabilities and expertise of the machine learning services provider. More simple solutions can be implemented in a few weeks, while more complex ones can take several months.
When should I use machine learning services?
Machine learning development services are used when certain rules cannot be programmed, such as spam detection in an email, and when a large number of factors can influence the response. Too many such factors, overlapping many rules, and the requirement for fine-tuning are the optimal environment for applying machine learning development. Also, ML is effective when solving large-scale problems is required.
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