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Transformers – A Deep Learning Model for NLP

The Transformer is a Deep Learning Model that was introduced in 2017 and is mainly used for Natural Language Processing Tasks. It is mainly designed to handle sequential data for carrying out tasks such as text summarization and translation. Let’s take a deep dive into its architecture and why it is considered better than the […]

Why Data Annotation is Important for Machine Learning?

Data Annotation is the process of attaching labels to datasets that are used for training machines. About 80% of Artificial Intelligence project development time is spent on data preparation. The success of any AI or Machine Learning project is directly proportional to the quality of the annotated data fed to the algorithms for training them. […]

Data Labeling Approaches for Machine Learning

Data Labeling is one of the key factors that determine the quality of a machine learning project. Although data labelling tasks are time-consuming and can get very complex, by selecting the right approach, your machine learning project can steer clear of any quality or accuracy hurdles. In this blog, we have listed out 5 data […]

Understanding Facial Recognition

The basic concept behind Facial Recognition involves identifying a human face using technology. It can be defined as a software application that recognizes a person by comparing or discovering patterns from his/her unique facial contours. Since every individual has a unique facial structure, this technology can analyze the features, match them with the information in […]

How Artificial Intelligence Can Help Fight Coronavirus

There is skepticism about Artificial Intelligence in recent times. Many fear the misuse of this cutting-edge technology and its less collaborative behavior with humans. But amid the COVID-19 pandemic, it has done more good than bad. AI in its current state is effective enough to help us in our fight against the coronavirus outbreak. Let’s […]

Human-in-the-Loop Machine Learning Approach

Huge advances in the field of Artificial Intelligence (AI) has led to the rise of machines that can learn and perform on their own. But these machine-driven systems tend to fall short when it comes to achieving acceptable accuracy rates. The combination of machines-based classification enhanced by human feedback is the best approach to develop […]

Artificial Intelligence in Retail

Artificial Intelligence in Retail Artificial Intelligence is one of the emerging technologies that offer a wide range of applications for nearly all market segments, business domains, and sectors. Naturally, how can the retail industry be left behind? By leveraging AI, companies will be able to reduce costs and make shopping an amazing and efficient experience […]

Object Recognition

Object detection is a part of Computer Vision technology that helps in identifying and locating objects in videos or images. Humans can easily locate and recognize objects of interest within few seconds. Similarly, object detection algorithms locate instances of objects in a given image thereby allowing machines to replicate the human vision. Object detection and […]

What is Training Data?

Machines are replacing humans in routine and manual jobs because of the faster processing speed and storing knowledge advantage they have over humans. One can even leverage their speed and turn them into intelligent machines. Here is where the Training data comes into the picture. By feeding them with relevant data, machines can be trained […]