Many credit scoring techniques have been used by banks to build credit scorecards. Among them, logistic regression model is the most commonly used in the banking industry. In the banking industry, logistic regression, linear regression, linear programming and classification tree have been used to develop credit scorecard systems. Logistic regression is the most commonly used […]
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Hyperautomation is a set of advanced technologies used to develop the process of automation in any enterprise. Gartner had coined the term in 2019. It is an emerging approach to automation. It is a key factor in digital transformation and can help build fluid organizations who are capable of adapting to changes quickly. Components of
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We use deep learning algorithms mostly to classify images amongst a huge collection of images/videos. However, Few Shot Learning (FSL) is another set of algorithms which helps to build machine learning models using very less training samples. If configuration is done properly, one shot or few shot learning can be used for facial recognition and
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What is TinyML TinyML is that segment of machine learning which can be used to develop low power-consuming devices that can run on both machine learning and deep learning models. TinyML has a significant role in combining the machine learning community with IoT technology. By using it, we can directly deploy models and gain insights
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Computer Vision (CV) is the field of AI which helps computers replicate the human visual system and enables computers to identify images, videos like we do. One such vital application of computer vision is facial recognition, digital image processing. There are many industry applications as well. Computer vision algorithms are heavily utilized to understand customer
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Automated Machine Learning, or AutoML is the process of automating end-to-end task which requires application of ML techniques to real-life problems. AutoML platforms uses this technique and run systematic processes on raw data and applies models based on the data. How AutoML works Traditional ML models involves pre-processing of data, feature engineering, feature extraction and
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Coding is a must when it comes to model deployment. Codeless ML solutions reduce entry barriers and encourages to experiment with machine learning. Over the years, tech-giants are turning open-source and developing newer tools which can integrate different types of data from multiple platforms and provide insights. Thus, requiring less or no coding at some
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TensorFlow and PyTorch are two of the most popular frameworks in deep learning. Both are open-source software. TensorFlow is based on Theano and is developed by Google’s brain team. PyTorch on the other hand is based on Torch and was initialized in Facebook’s AI Research Lab. Ease of Use TensorFlow was a low-level deep learning
Should I go for TensorFlow or PyTorch? Read More »
An AI system consists of intelligent agents and their environments. An agent is anything which makes decisions as a person, firm or a software. Agents perceive their environment with the help of sensors. It is an autonomous entity which can act upon an environment using sensors and actuators to achieve goals. Components of Intelligent Agents
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