2003
Year of Establishment
100s
of Customers Worldwide
4.9/5
Customer Rating
How Fingent Helps
Challenging business environment drives industries to undertake constant digital initiatives for sustainable growth in the market. Leveraging the industry-leading machine learning platforms such as Amazon, Azure, Google, Stanford, and others, we enable our clients to build future-ready business solutions through innovation.
With cutting edge apps, we help you explore the possibilities of machine learning in solving key business challenges, enabling data-driven decisions, and creating innovative business models. Ensuring reduced costs, increased time saving, automated operations and enhanced productivity, we help you accelerate the end-to-end machine learning lifecycle in your organization.
With cutting edge apps, we help you explore the possibilities of machine learning in solving key business challenges, enabling data-driven decisions, and creating innovative business models. Ensuring reduced costs, increased time saving, automated operations and enhanced productivity, we help you accelerate the end-to-end machine learning lifecycle in your organization.
Our Machine Learning Services
Smart ML Applications
Predictive Analytics
Natural Language Processing
Deep Learning
Smart ML Applications
Access state-of-the-art technology solutions to harness the growing capabilities of machine learning. Our team of experts can help you build and deploy innovative machine learning solutions to drive automation throughout your organization and achieve business objectives faster.
Predictive Analytics
Enable greater business outcomes with smart decision making. Our cutting-edge machine learning solutions combs through every fragmented customer records and data to help you unfold trends and patterns that enable intelligent services.
Natural Language Processing
Using our NLP capabilities, we help you convert unstructured data into meaningful insights. Utilizing the advances of artificial intelligence and machine learning, we assist you to build next-generation digital assistants that will solve your business complexities rapidly.
Deep Learning
Foster superior business models, improvised products and innovative services with our cutting-edge deep learning solutions. Utilizing real-time insights we help you discover unique opportunities, adapt to changing business scenarios and reduce operational costs.
Why innovate your business with us
Consistent high-quality results with a robust agile team and a dedicated QA practice
Highly cost-effective and best-of-breed solution with no last minute surprises
Transparent project management with maximum adherence to deadlines
Our Unique Approach & Process
By initiating your project with Fingent, you get a dedicated and skilled team backing you up round-the-clock. All our processes are customer-oriented, designed to reduce the cost of business operations, address IT resourcing challenges, and offer you a competitive edge. We start with a deep analysis of your requirements and continue our relationship with post-launch support and updates.
1
Research and Discovery
2
Validating and Shaping Idea
3
Design and Prototyping
4
Development
5
Testing and Quality Assurance
6
Maintenance and Support
Contact Us
Hundreds of leading businesses have derived strategic advantages from our transformative solutions.
FAQs
Machine learning is a subset of artificial intelligence (AI) that employs large data sets and training algorithms to give computers the ability to learn and act without being explicitly programmed. Machine learning-powered systems have the ability to automatically learn and improve from experience.
Machine learning offers several advantages in software development. It makes coding more efficient. For instance, Google reports that 500 lines of TensorFlow code has replaced 500,000 lines of code in Google Translate. Machine learning can also be used for data and infrastructure management, automated programming, and for spotting vulnerabilities in software.
Artificial intelligence (AI) applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
Machine learning is broadly classified into three types:
- Supervised Learning: As the name indicates supervised learning is a process in which we train a model or machine using properly labeled data. Once the model gets trained it will start making a prediction or decision when new data is fed to it.
- Unsupervised Learning: In unsupervised learning, the model learns through observation and finds structures in the unlabeled data. An unsupervised learning model can automatically find patterns and relationships in the dataset by creating clusters in it.
- Reinforcement Learning: Reinforcement learning follows a hit and trial method in which the agent interacts with the environment and finds out what’s the best outcome. Reinforcement learning enables a software or machine to find out the best possible path it should take in a particular situation.
The 5 most commonly used machine learning algorithms are Linear Regression, Logistic Regression, Decision Tree, Naive Bayes, and KNN.
The top 10 programming languages for machine learning are Python, C++, Java, JavaScript, C#, R, Julia, Go, TypeScript, and Scala.
Data science is a broad term that comprises multiple disciplines including statistics, programming, data visualization, big data, machine learning and much more, whereas, machine learning algorithms learn models from data.
Machine learning is often considered as part of a data science project. It’s a field of study that gives computers the ability to learn without being explicitly programmed.
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