“Artificial Intelligence & Machine learning development has been derived beyond the territory of research, directed by born-digital companies. The digital realm joins easy approachability for developing self-learning technological solutions that facilitate organizations to exploit the potential of this algorithm. As the growing demand for machine learning driven business is accomplishing new heights, companies need to comply with the changes to avoid risk and stay ahead in the competition.”
Machine learning is an essential section of Artificial Intelligence (AI) that allows software applications to solve problems that are unstructured in nature. It is developed on an algorithm that is capable of receiving input data and statistical analysis. By providing access to data and adapting to changes through experiences, machine learning, and cloud service solutions efficiently leverage systems.
Machine learning comes with a vast scope, and when you apply the same to your current business model, the extraction and collection of information would be insurmountable. 9series uses deep learning, natural language processing, and neural networks that help to replicate human decision making and allow the solutions to learn in real-time. We provide various services under machine learning, such as:
Image Tagging: The algorithms used in the ML process make it easy to identify faces or objects in a picture that you tag manually. It's very similar to when you upload a photo on FB, and they give you suggested tags on the faces they recognize. It is helpful in the organization where operators will not have to do repetitive tasks.
Optical Character Recognition: In optical character recognition, the algorithms used can identify individual images as written characters. It then converts the scanned text documents into digital files for various uses like data grouping and image processing.
Sentiment Analysis: With this, you can easily classify the opinion of a writer expressed in a positive, negative, or neutral way. You can read the behavior or the sentiments of the writer, which can further be used in future marketing strategies or even while developing a product.
Information Extraction: Information extraction like names, addresses, keywords, or web links gets easy with the algorithms used here.
Filtering: It can easily classify data into tweets, chats, spam posts, posts, and blogs. It is beneficial to those companies where there is a massive flow of social content daily.
Improved content discovery: With Machine learning, you can dive into what kind of content users are likely to follow and read. Based on their interests and reading patterns, you can suggest articles that are aligned with their interests. In this way, you can create a more immersive and personalized experience for your users.
Predictions: It helps the financial institution to make the right predictions. Machine Learning in banking assists in analyzing credit and profitability of loan seekers and defaulters. Other forecasts are related to trading, market volatility, and risk management.
Anomaly detection: Fraud has increased, and so has the discovery of such activities. It is now easy to detect fraud easily when there are some transactions outside the usual ones, creating some doubt. They can get ahead of those fraudsters with Machine Learning. This detection can also allow all e-commerce or online businesses to be able to block fraud or fake ids.
With machine learning algorithms, drawing insights and predictions from the enormous data gets very easy. Collecting data is not enough; it is crucial that the data is readable and helps in making critical decisions. Data visualization is a significant factor of ML that allows the reader to grasp the information in the easiest and simple ways to make decisions quickly.
We use agile methodologies that provide speedy software updates, lesser resources, decreased cycle times, and lower defect rates, for easy app maintenance. We provide a 24x7 alert mechanism, dashboard monitoring, and smoke testing postcode deployment. Additionally, customer-specific and product-specific knowledge base enable natural incident cause & resolution, and a dedicated support coordinator.
There may be various technologies in ML, but we are experts in TensorFlow that is used widely by everyone. It is easy to understand and use.
TensorFlow is an open-source system from Google for ML learning processes. The highlight of TensorFlow is that it picks the correct language. It has been written in C++ and developed for speed. The main uses of TensorFlow are:
It is famous for its sound-based applications. If correct data is fed, the neural networks can understand audio signals.
TensorFlow has object recognition algorithms that classify & identify random objects within the bigger images.
TensorFlow’s neural networks can detect video data. It is done with the help of Motion Detection, Security, Real-Time Threat Detection in Games & Airports.
Our team does a complete analysis of the needs and requirements for Machine Learning as a service for your organization. Based on the report, our experts & knowledge engineering start to work on the same.
We provide you with qualified resources to determine your ML models. They make sure that everything is as per your business model and requirement.
Our team ensures the timely delivery of your machine learning projects.
Machine Learning is a branch of Artificial Intelligence that enables systems in learning from data and patterns without any human assistance. It automatically learns from observations and experiences and makes decisions based on it.
Machine Learning has three broad types of algorithms. Supervised Learning where a dataset is assigned as a trainer for training, Unsupervised Learning where the system automatically learns patterns and relationships in the dataset, and Reinforcement Learning, based on hit & trial method to train the model by finding out the best outcome.
No, there are three interconnected concepts – Deep Learning comes under Machine Learning, and Machine Learning comes under Artificial Intelligence. AI is used as an umbrella term for a set of smart technologies, and ML is only a part of it.
Artificial Intelligence is based on the idea that simple and ordinary machines can execute its tasks smartly. And, Machine Learning works on the concept that the same machines can adapt themselves through training and experiences.