Machine Learning

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Hear from our satisfied partners!

"We believe in Mangtas’ systematic vetting and matching process!

Their data-rich and structured talent profiles really help a lot in building a point of view before deciding to proceed with an interview.

The team has always been very responsive and helpful in the process of selecting talent, onboarding, and maintaining the ongoing relationship.”

Nino

Co-Founder & CTO, StashAway

“Mangtas really helped us by matching our staffing needs to highly vetted talents from their vendor ecosystem.

I can now focus on getting our exciting products to market – without having to worry about the unreliability and overhead that usually comes with outsourcing.”

Alex

VP Engineering, OhMyHome

"Through their vendor selection and rigorous candidate vetting process, Mangtas provides us high-quality candidates that result in a higher closing rate than other vendors, saving us a lot of time and speeding up our hiring.

They are also very customer-centric and responsive to our requests. It's been a pleasure working with them."

Cheehan

VP Engineering Ninja Van Group

What is Machine Learning?

Machine Learning is a subset of artificial intelligence (AI) that focuses on the development of algorithms and models that enable computers to learn and make predictions or decisions without being explicitly programmed.  

It involves the use of statistical techniques and computational algorithms to analyze and interpret large volumes of data, allowing machines to automatically learn and improve from experience.

What are the common uses for Machine Learning?

Predictive Analytics

Natural Language Processing (NLP)

Image and Video
Recognition

Recommendation Systems

Financial Market Analysis

Fraud Detection

Benefits of having a Machine Learning Engineer in your Team

Machine Learning Engineers possess deep knowledge and expertise in advanced machine learning techniques, algorithms, and statistical modeling.

They are skilled in selecting the right algorithms and approaches to tackle complex data challenges and drive accurate predictions and insights.

Machine Learning Engineers excel at working with large volumes of data.

They have the ability to analyze and interpret data effectively, identifying patterns, trends, and correlations that might not be apparent to others. This enables them to derive valuable insights and make data-driven decisions.

Machine Learning Engineers are proficient in developing and optimizing machine learning models.

They can design and implement algorithms tailored to your specific needs, fine-tuning parameters, and selecting the best models to achieve optimal performance.

Machine Learning Engineers automate processes, enabling your organization to save time and resources.

They develop algorithms and systems that can handle repetitive tasks, streamline operations, and improve overall efficiency.

Machine Learning Engineers possess strong problem-solving skills.

They can identify complex business challenges, determine the appropriate machine learning solutions, and apply innovative techniques to overcome obstacles and achieve desired outcomes.

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