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We have developed over 40 mobile applications for the world’s leading Enterprises and Startups.
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DevOps makes the paradigm shift possible from the large scale, project based system implementation to continuous evolution of applications, allowing our clients to deliver faster with greater business agility. It's a positive disruptor that brings people, processes and technologies together, enabling the enterprises deliver applications at the pace of business.
DevOps improves efficiency and quality in software development. With our custom DevOps solutions, we provide the business's ability to consistently roll out improved business capabilities. DevOps testing is a critical enabler and accelerator of digital transformation. It significantly reduces the costs associated with root cause analysis, and enables the businesses release high quality software smoothly and continuously, without having to go back to fix the issues.
Our machine learning experts are skilled at Python development to enable custom data preprocessing scripts, vectorizing data, removing correlations and outliers. Leveraging this dataset, our machine learning and artificial intelligence experts configure machine learning models to meet your business objectives.
Our experts help you train the developed models to discover dependencies across disparate datasets, including unstructured and structured human-generated and system-enabled data.
Machine learning developers and programmers at pearsystem constantly monitor the results generated by the machine learning model and finetune the model parameters to obtain optimum accuracy.
The term “Data Analytics” describes a series of techniques aimed at extracting the relevant and valuable information from extensive and diverse sets of data gathered from different sources and varying in sizes. Data Analytics Application developers can benefit from the Data Analytics Development Framework.
In tech, machine learning is on the rise. But it can be a complicated subject to understand. And when it comes to Business Intelligence, it only gets more complicated.So we’ve put together a simple, easy-to-understand guide to understanding machine learning and how it can be used in Business Intelligence software.
A well-trained Machine learning solution allows video analytics to analyze facial data more quickly by providing more accurate face detection with faster response time, thus creating a powerful method for facial recognition. Machine learning technologies also help analyze and process vast streams of footage.
Predictive analytics and machine learning go hand-in-hand, as predictive models typically include a machine learning algorithm. ... These models are then made up of algorithms. The algorithms perform the data mining and statistical analysis, determining trends and patterns in data.
euralClassifier enables us to quickly implement neural models for hierarchical multi-label classification tasks. What I personally like about NeuralClassifier is that it provides a wide variety of text encoders we are familiar with, such as FastText, RCNN, Transformer encoder and so on.
Your AI powered chatbot will do exactly what you tell it to do. And I mean, exactly. It will never sway, adapt on the fly (unless you teach it how), or fly by the seat of its pants to seal a deal. A chatbot is ideal for taking care of the mundane, for being efficient. Tasks that require repetition and objectivity are a chatbot's domain.
Machine learning and computer vision are two fields that have become closely related to one another. Machine learning has improved computer vision about recognition and tracking. It offers effective methods for acquisition, image processing, and object focus which are used in computer vision.
Neural networks, as the name suggests, are modeled on neurons in the brain. They use artificial intelligence to untangle and break down extremely complex relationships. What sets neural networks apart from other machine-learning algorithms is that they make use of an architecture inspired by the neurons in the brain.
The ten mathods in machine learning Techniques: Regression, Classification, Clustering, Dimensionality Reduction,Ensemble Methods,Neural Nets and Deep Learning,Transfer Learning,Reinforcement Learning,Natural Language Processing,Word Embeddings
Let our business analysts help you identify the best possible cost for your product without compromising on your budget and hire us to get your next project rolling.
Looking to hire resources dedicatedly working on your project on a full-time or part-time basis? Let’s talk and we shall help you leverage our expertise at the best rates.
Take full control of your dynamically-evolving prototype development for your enterprise by hiring our experts on time and material basis.
The app was successfully launched and fulfilled original expectations. The Pear System team was communicative and effective in completing the project. The app is available in the Google Play store and Apple Store and we’re thrilled with the final product. They were a highly efficient team to work with. They were strong communicators—whenever I had an issue they were available. Additionally, they were timely in getting deliverables to us.
Dato' Dr. Jay Ho
The Pear System team were great to work with. Every part of the process went as per the agreed schedule, and the finished prototype met, and in most cases, exceeded my expectations. While Pear system wasn't the most price competitive of the quotes I received, the quality of their work, professionalism, and product, was well worth the additional cost. Highly recommend, and will continue to use their services for future projects.
Glenn Graham
Pear System is a fantastic team of Mobile App Development and can be compared to any development company all over the world. They have done many projects for me and the quality of the work is outstanding. I would recommend them to anyone..
Lester Tan
