Fernsoft assists in reshaping the IT infrastructure with cutting edge techniques of Data Science. We ensure bringing ground-breaking results by focusing on primary research, advanced analytics, and Big Data. We work across industries from healthcare to supply chain, from hospitality to energy, from finance to retail. Our algorithms identify patterns and assists in decision making of an organization to improve their experience.

Our business strategies are implemented as fully customized, end-to-end, advanced analytic and AI solutions for the clients. Fernsoft’s durable passion for solving diverse problems aids the team to work on large scale projects where they explore a pool of insights.

Data can work miracles if it is utilized to its full potential. Here, in Fernsoft we make your dreams into reality by our machine learning initiatives to bring innovative solutions to your business challenges!!

We can shape your business efficiently and assist you in making a better decision with AI/ML capabilities. You can contact for further support.

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Machine Learning

Machine learning as a service is supervised learning where Artificial Intelligence can learn and improve from its experience instead of programming every activity into its system. It takes up the concept of observation and implementation where the fundamental goal of a computer being to learn automatically without any assistance. There are many types of machine learning like supervised, unsupervised, semi-supervised and reinforcement methods. It helps in processing the bulk amount of data that delivers much faster and accurate results. 

The data sources in data science software development are both structured and unstructured data. It follows an approach of statistical learning, Natural Language Processing (NLP) and machine learning techniques. In addition, it focuses both on the present and the future development of an organization.

Deep Learning

Deep learning, a subset of machine learning understands the unstructured and unlabelled data. It has marked its step in every far corner prevalently known as the “Big Data”. They are accessed easily and shared through cloud computing technologies. Deep Learning adapts to the AI system and provides us with the right information. This hierarchical functionality of deep learning cloud computing processes the data in a nonlinear approach. It understands the hidden internal layers. The data is extracted, classified and selected.

The cutting-edge deep learning models of these applications are built by our team of experts in Fernsoft to aid our client's business with the required competitive edge.

Societal Benefits of Data Science Solutions

  • Data science product development in financial services help in identifying the risks and fraud by creating statistical and big data methodologies. It generates timely responses when recognizing complicated data.
  • They are extremely advantageous when the demand and supply of a store are evaluated properly. The organizations can identify what product gets sold out at what time of the year in which place. This aids the organization by taking appropriate measures to develop new product depending upon customers insight. 
  • Data science service providers mostly benefit the sales and marketing teams by understanding the needs of the customer and creating great customer satisfaction.
  • Data is used in large amounts to identify and modify marketing strategies and design. It redefines customer’s success by using advanced technology. 


  • Neural networks
  • Deep learning
  • Machine learning
  • NLP 
  • Image Processing
  • Computer Vision