If you are hunting for a renowned Apache Mahout development agency, you’re probably the right place. Appventurez deploys a team of highly experienced and talented Apache Mahout developers who are specialised in implementing Machine learning algorithm using the latest technological innovation.
Apache Mahout serves as a requisite tool for the developers which helps them in building dynamic and scalable mobile and web app, using the trending technologies like Big Data, Machine Learning and Artificial Intelligence. Our developers are proficient in delivering Apache Mahout business solutions using the Machine Learning algorithm and ready to use framework feature of Mahout.
At Appventurez, we offer full support for start-to-end in the building of Big-data business solution to solve the complexity of bulk data for our eminent clients.
Our renowned Big Data professional developers and designer are always ready to provide end-to-end support in delivering full-tailored Apache Mahout algorithm which helps you in leveraging your business.
We aim to enhance future performance and add wings to your business using our prior experience and knowledge in Machine Learning and the power of Apache Mahout.
At Appventurez we use Map-Reduce enabled implementation for clustering which includes, k-Means, Canopy, Dirichlet, Mean-Shift and fuzzy for grouping of data.
Apache Mahout features various functionality, which can be used for building real-time applications.
A Mahout-based CF engine helps in generating recommendation depending on the data of user preferences for the items. For example, a book store owner can use Mahout for figuring out the past purchase data and suggest interesting books matching the customers prefrences
The clustering feature of Apache Mahout helps in arranging a group of objects into classes containing similar objects. Using this technique the client can lay his focus entirely on a specific cluster of his requirement.
Classification in Apache Mahout is a technique related to machine learning in which all the know data set are laid under a similar tag. This helps in category prediction of the new data set as well as structuring the large set of unorganized data. This concept is used for iTunes applications for classification of the playlist, and by the mail provider by Yahoo and Gmail for deciding if the mail is spam or not.
Using Machine Learning, Mahout can easily analyze the different items in the group (can be used in case of the shopping cart) and predicts which items appear together frequently.
Appventurez offers a broad range of services for Apache Mahout services to our valuable clients.
We provide better management and querying for large data sets of distributed storage through a range of services.
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