AI and Machine Learning


Artificial Intelligence & Machine Learning

AI is a collection of technologies like Machine Learning, Deep learning, Reinforcement Learning, Natural Language Processing, Computer Vision and more. AI allows machines to sense, comprehend, act and learn.

Machine learning is an application that provides software systems the ability to automatically learn and improve from past experience without being explicitly programmed. Machine learning uses sets of data as input, and use the data to train itself. It looks out for patterns of data, and all the forecasting is done based on the input data used to train the system. The principal objective is to allow the computers learn automatically without human involvement.

Artificial Intelligence (AI) can help to solve difficult issues in various industries, such as entertainment, education, health, commerce, transport, and utilities. Following are the categories of AI applications - Reasoning, Knowledge, Planning, Communication and Perception.

Artificial Intelligence at Masycoda

  • Natural Language Processing

    Natural language processing (NLP) is a division of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP is the bridge between humans and computer understanding. NLP is based on many disciplines, including computer science and computational linguistics.

  • Data Modelling

    We offer your business a complete data modelling solution right from hypothesizing to the physical implementation of the data model. Our tools are able to extract thorough requirements related to your business by providing you with a complete solution.

  • Optical Character Recognition and Transcription

    Whether you’re looking to identify important areas of text in PDFs with bounding boxes, validate model outputs, or transcribe key sections of PDFs or other documents, we have a robust set of solutions to make your algorithms more accurate and more confident.

  • ChatBots

    Chatbots are automated scripts and implementation of NLP, which depict themselves as humans and do text communication.

  • Predictive Analysis

    Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics does not tell you what will happen in the future. Instead, it forecasts what might happen in the future with an acceptable level of reliability and includes what-if scenarios and risk assessment.

  • Algorithm Design

    We have an analytical and procedural approach to solve problems which are relative while designing or writing effective algorithms. We have an appropriate set of technologies to optimize existing algorithms for any given situation.

  • Named Entity Recognition

    Our platform powers highly accurate named entity recognition (NER) tasks with dedicated tooling and robust quality controls. Whether you’re looking to identify parts of speech, classify proper nouns like places and people, or any other important entities for your project, you create your own custom ontology and our platform will take care of the rest.

  • Statistical Modelling

    Discover hidden opportunities by transforming the way data is collected, analysed, interpreted or explained, and presented. Statistical modelling is a simplified, mathematically-formalized way to create data in desired format, this data is then used to make predictions.

  • Deep learning

    Deep learning is an artificial intelligence function that uses technique of learning by example in processing data and creating patterns for use in decision making.

  • Computer Vision

    In Computer vision text understanding is attained from low quality images or video sequences with convolutional neural networks.

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