Artificial intelligencein finance refers to the application of a set of technologies, particularlymachine learningalgorithms, in the finance industry. This fintech enables financial services organizations to improve the efficiency, accuracy and speed of such tasks as data analytics, forecasting, investment ...
Natural Language Processing (NLP) is the fascinating technology behind this phenomenon. In this blog post, we will delve into the world of NLP to uncover how machines are learning to understand human language like never before. Also if you have not read our previour blogs on Generative AI, ...
To analyze and understand human language, NLP employs a variety of techniques and methods. Here are some fundamental techniques used in NLP: Tokenization. This is the process of breaking text into words, phrases, symbols, or other meaningful elements, known as tokens. Parsing. Parsing involves an...
NLP enhances data analysis by enabling the extraction of insights from unstructured text data, such as customer reviews, social media posts and news articles. By usingtext miningtechniques, NLP can identify patterns, trends and sentiments that are not immediately obvious in large datasets. Sentiment ...
So, naturally, digital marketing and NLP are tightly connected. Some of the more notable applications of the tech that we encounter in our day-to-day are: Conversational Agents. Advanced chatbots use NLP to figure out what the customer wants and provide relevant answers. They can also be ...
What are the Types of Foundation Models? Foundation models come in various forms, each with its own unique characteristics and applications. Here are some notable types of foundation models: Language Models:Language models, like OpenAI’s GPT series, are among the most prevalent foundation models....
The properties are estimated from your data. Finally, the model values are saved to file to create the LDA model. How Do LDA in Machine Learning Models Learn? The assumptions made by an LDA model about your data: Each variable in the data is shaped in the form of a bell curve when ...
To gain a better intuition of this process, let’s examine the following example: On the left side, we have our two-dimensional data set. This data set consists of two classes; red and blue. Blue classes are points on a donut-shaped cluster, while red points are in the circle that is...
Machines can quantify, itemize and analyze text data in sophisticated ways and at lightning speed – a range of processes that are covered by the term text analytics. At the same time, advances in technology have made it possible for machines to go even further, extracting complex, semantically...
We are living in the 21st century, the era of automation. Machine Learning has been a rock band in the field of automation. The automated machines that we create using the techniques of Machine Learning carry out iterative tasks to reduce human effort and time. ...