Deep Learning | Machine Learning Company in India | Data Science | Big Data Analytics | Data Mining Services | Image Processing Services


Research Infinite Solutions is an AI based organisation well known for research work. We offer guidance and assistance in field of Machine Learning and Artificial Intelligence.


Python is a high level programming script language which emphasizes code readability allows control of one or more software applications. Used for backend web development, data analysis, Artificial Intelligence, and Scientific computing. Many developers use Python to build productivity tools, games as it is easy to use, powerful, versatile, making it a great choice for beginners and experts. Its dynamically typed nature makes it flexible, includes no hard rules and forgiving error easily so program can compile and run.

It truly focus on learning actual programming concepts and not syntax. Research infinite solution is a platform where different projects requiring Data Mining , Web Scraping, Data Analysis are performed with Python.

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Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. It is a form of Artificial Intelligence (AI) that allows computer systems able to study without being explicitly programmed. It is concerned with developing softwares that improves from past experience, used in programs for classification and prediction.

Predictions are made on the basis of visual data and measurement data. This extraction of data is done by machines through statistical analysis. Machine learning focuses on the development of computer applications that may exchange while exposed to new information. It can be split into three categories:

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Big data offers the great opportunities and transformative potential for various areas such as e-commerce, healthcare industry manufacturing, social network and educational services. Therefore, deep computation, a novel area, has attracted great interests of researchers in recent years. It refers to a systematical model for big data representation, storage, analytic and mining based on tensor theory.

The characteristics of big data make the feature learning such an extremely challenging task that conventional data mining methods are almost impossible to address. On one hand, the unprecedented data volumes require the scalability of feature learning algorithms for big data.

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Deep Learning
Web Scraping


Web scraping is a technique helps you to get information from any website and transform it into other specific format according to customer’s need. It is a process to save data automatically from multiple pages of websites without manual interruption which overcomes traditional system which take many hours to save data from websites.

It make us to easily extract structured information from web page. Process includes turning of web page into data, filtering is done to get useful information. Web scraping is very useful to get updates of data automatically even when content is changed in website and to get complex and complicated data that is necessary for your business from these websites.

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Speech processing is the study of processing methods and speech signals. The signals are generally handled in a digital representation, so speech processing can be observed as a special case of digital signal processing, applied to speech signals. Aspects of speech processing include the acquisition, manipulation, storage, transfer, and output of speech signals. Speech processing methods are used for coding of speech signals, spoken linguistic dialog systems, text-to- speech production, and automatic speech recognition. Information like gender, age, pitch etc. can also be extracted from speech. It is also known as voice recognition. It is mainly help fulfill for the speech-to- text conversion. There are various Artificial Intelligence organizations which are working on the speech processing.

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Speech processing
Natural language Processing

Digital Image

Image processing is processes in numbers of operations are performed on an image to get an enhanced image or extract some useful information. In this process, input is an image and output can be image/ character or feature related to that image. In these days, image processing is one of the rapid growing technologies.

Analogue and digital are two methods used for image processing. Analogue image processing can be used for the hard copies like printouts and photographs. During usage of these visual techniques, Image analysts use various fundamentals of interpretation.

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Natural language Processing

NLP is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language. It is also known as Computational Linguistics. It mainly concerns how computational methods can aid the understanding of human language.

NLP understands the libraries and tools of machine learning. Machine learning schemes supply words and the customs they come together just like some other form of data. Expressions, sentences, and sometimes complete records are fed into ML engines where they’re handled based on linguistic rules, people’s real-life linguistic habits, or both.

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Natural language Processing
Prediction System


An organization faces numerous internal and external risks, such as high competition, failure of technology, labor unrest, inflation, recession, and change in government laws. Risk and Uncertainty are the two factors on which business decisions are made. By determining the demand and sale of their products in future, effects of risk can be lower down, Thus, prediction forecasting is a logical process that includes the advance demand for the product and facilities of a group in future under a set of uncontrollable and competitive forces. A Prediction or forecasting system is a statement about uncertain event, often which based upon the knowledge or experience. In computer language, the term “prediction” is used to refer an “opinion or guess” which might be informed by person’s Inductive reasoning Adductive reasoning,

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Recommendation system defines or predicts the preferences or ratings of any product or item related to each person’s choice. These are used in almost every field. Recommend product, movies, product, song and video and books according to each person’s past data of choice. The system analyses past activities from which recommendation can be made easily. However, recommendation-as- a-service platforms started to proliferate in the past couple of years and they transformed the whole recommender system business. Different types of recommendation systems and engines are available in market.

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Recommendation system