There are a lot of ready-to-use data science solutions in the market, but we believe that our clients are best served by a customized solution since one size does not fit all. Our approach involves developing a solution that matches your business needs, the kind and amount of data that you gather and based on your existing IT infrastructure setup.
Our data science solutions are created by an interdisciplinary team made up of statisticians, machine learning experts and programmers who put the insights derived by the former two in the form of applications which can be used by decision makers.
Your search for a dedicated team of R developers and consultants ends here. We have a wide variety of experience across various verticals, having helped numerous clients with our R development and consulting services.READ MORE
Hire our Scala developers who are highly skilled and experienced in developing customized web-based applications, commercial software, and business apps.READ MORE
Our Python programmers are well-versed with the latest tools and technologies such as Flask, Jupyter Notebook, Cython and NetworkX to name a few. You can achieve fast prototyping and a robust experimentation cycle with our experienced and dedicated Python developers.READ MORE
Spark MLlib is Apache Spark’s machine learning library and plays a critical role in mining big data for getting actionable insights with lightning speed. Our Apache Spark developers know how to get the best value out of MLlib.READ MORE
A telecom provider based in the US faced difficulties in sorting and integrating existing data with the data gathered by new products.Download Case Study
Microsoft Azure Machine Learning Studio is an interactive data science tool that allows you to build, test and deploy predictive analytics models on your data. Softweb Solutions has achieved Microsoft’s Azure Red Carpet Partner certification, which means you get the best Azure experts to work on your projects.
It is a simple and efficient tool for data analysis and data mining useful for classification, regression, preprocessing, model selection, dimensional reduction and clustering. It uses algorithms like SVM, SVR, nearest neighbors, k-Means, spectral clustering, ridge regression, mean-shift, and more to carry out the processes.
Amazon ML allows you to create machine learning models using its visualization tools and wizards, thus eliminating the need to use complex machine learning algorithms. Softweb Solutions also has AWS partner certification, so when you work with us, you are in good hands.
SciPy is an open source Python library consisting of algorithms and mathematical tools that are used for technical and scientific computing. It includes modules for linear algebra, optimization, image processing, interpolation, integration, FFT, special functions, and other tasks in engineering and science.
It is an R package, which offers a light-weight front-end to use Apache Spark from R. SparkR supports several operations including but not limited to selection, filtering, and aggregation through distributed data frame implementation. It also supports distributed machine learning with the use of MLlib.
It is a technology platform that relies on machine learning and natural language processing to gain insights from a bulk of unstructured data. Watson can answer some your most pressing questions and extract a great deal of information by analyzing key information from all the documents.
It is an open source software library that uses data flow graphs to carry out numerical computation. It is used by several research and production teams for various perceptual and language understanding tasks to increase flexibility and maximize performance.
This programming language supports a multi-paradigm numerical computing environment. MATLAB lets you perform matrix manipulation, data and function plotting, algorithm implementation, building user interfaces, and interacting with programs that have used languages such as C, C#, C++, Fortran, Python, and Java.
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