Sentiment analysis, also known as opinion mining, is a field of Natural Language Processing (NLP) that involves the study of the emotions, opinions, and attitudes expressed by people in written text. It is a crucial task in the field of NLP and has wide-ranging applications in areas such as marketing, customer service, and politics. With …
The Power of BERT and Convolutional Networks in Sentiment Analysis Read More »
Introduction Bayesian inference is a powerful tool that allows us to make predictions based on uncertain data. It has wide-ranging applications, from natural language processing to computer vision, and is particularly useful for problems that involve high-dimensional probability distributions. However, traditional methods for performing Bayesian inference can be computationally expensive, especially when the number of …
Stein Variational Gradient Descent: A Game Changer for Bayesian Inference Read More »
In the world of machine learning, there is a constant push to build more complex and accurate models. However, this often requires large amounts of data and computing power, which can be a significant barrier for many organizations. Transfer learning is a technique that has emerged as a solution to this problem, allowing organizations to …
The Rise of Transfer Learning in Machine Learning Read More »
Electronic medical records (EMRs) are digital versions of the traditional paper-based medical records that healthcare providers have used for decades. EMRs provide a number of benefits over paper records, including the ability to access patient information quickly and easily, improved data security, and the ability to easily share patient information with other healthcare providers. However, …
Zero-shot learning is a type of machine learning approach that allows a model to classify items into categories that it has never seen before, based on the similarities and relationships between categories that it has learned during training. This is in contrast to traditional machine learning approaches, which require the model to be trained on …
Artificial intelligence (AI) has made significant progress in the field of voice recognition in recent years. Voice recognition technology allows computers to understand and interpret human speech, enabling people to interact with devices and systems using their voice. One of the key techniques used in voice recognition is machine learning, which allows a system to …
Business intelligence (BI) combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations make more data-driven decisions. Hopefully, these BI trends will help prepare your company to meet a more hyper-scale, connected, and data-driven global market in the next few years. The BI landscape is evolving and the …
