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Frequently Asked Questions
Get the answers to your most frequent queries regarding our offerings and Microsoft products.
How much data is required to build an ML-based solution?
The performance and accuracy of any Machine Learning model largely depend on the quality and volume of data used. For Deep Learning projects, approximately 1,500 or more data samples — such as images, documents, or customer reviews — are typically required to effectively train, test, and validate the model.
What specific type of data is required to implement ML?
Any type of data that can be converted into a numerical format can be utilized in Machine Learning. This includes text, images, audio, video, and structured datasets. By transforming data into numerical representations, ML algorithms can analyze patterns, learn from the data, and generate accurate predictions or insights.
How can I integrate my application with ML?
Machine Learning functionality can be exposed through REST API endpoints that can be easily integrated into applications. These APIs allow the system to communicate with the underlying ML models by sending required parameters and receiving predictions or results in response.
What can the quality of output In-terms of accuracy be achieved by implementing ML solutions?
Machine Learning models typically produce probability-based predictions rather than exact outcomes. For example, it is difficult to determine with certainty which team will win a tournament. However, by analyzing historical data and relevant contextual factors, an ML model can estimate the likelihood of an outcome — such as predicting that a particular team has a 95% chance of winning.
What are your ML developer's expertise and industry experience?
Our team consists of highly skilled and experienced Machine Learning developers with strong technical expertise in building next-generation solutions that deliver advanced features and smooth performance. At Sagaron Technology, our ML developers bring an average of 4+ years of hands-on industry experience.
Will I have complete control over the hired ML developers?
When you hire ML developers from us, they work as an extended part of your in-house team, fully dedicated to your project. You get complete control, transparency, and direct access to the developers through your preferred communication channels, ensuring smooth collaboration, faster decision-making, and seamless project execution.
Will you according to my time zone preference?
Absolutely. When you hire ML developers from us, they align with your preferred time zone (EST, PST, CST, or MST), project deadlines, and milestone schedules to ensure smooth and timely delivery. For more information or to discuss your requirements, feel free to contact us at solutions@Sagaron.com
or connect with us on Skype at Sagaron.
Do your ML developers follow SEO friendly design and development practices to make my website search engine friendly?
Our ML developers and designers build SEO-optimized digital solutions by incorporating best search engine practices from the ground up. We focus on server-side rendering for better performance, modern and engaging UI/UX design trends, and structured schema markups to enhance rich search results.
What project management tools do you use to communicate with the hired ML developers?
At Sagaron Technology, we leverage industry-leading project management tools such as Jira, Trello, Pivotal Tracker, and Asana to ensure complete transparency and efficient project execution. These tools allow you to track the performance of dedicated ML developers, monitor daily progress, assign tasks, and stay updated with every stage of the development lifecycle, giving you full control and visibility over your project.
Will you provide any document to absolute the ownership of my ML project?
You will have complete ownership of your Machine Learning project from start to finish. This includes full protection through NDA agreements, complete access to source code, copyright ownership, and full intellectual property rights.