The Future of AI in Medicine: AI-based ‘bilingual’ job skillset
Introduction Venture capitalist Jim Breyer has a history of investing in breakthrough technology ideas, such as Meta and Spotify. However, …
Introduction Venture capitalist Jim Breyer has a history of investing in breakthrough technology ideas, such as Meta and Spotify. However, …
In this article, we will discuss step by step how linear regression can be applied to predict sales from advertising ads dataset.
This tutorial focuses on regression, where we will use a real-time case study on a bike-sharing scheme to predict the number of bike shares based on weather conditions and seasonality.
In this article, we’ll break down the concept of linear regression in a more understandable way and explain how it works. We’ll also discuss some of its applications, limitations, and assumptions, so you can better understand how to use it in your projects.
Introduction Transfer learning has become an essential aspect of deep learning in recent years. It involves leveraging pre-trained models on …
Artificial Intelligence (AI) has come a long way since the inception of deep learning. In the field of computer vision, …
In this article, we will discuss in detail VGG16, its architecture, reasons for its popularity in the computer vision domain, …
In this article, we will explore the topic of dependency parsing in NLP, which is a crucial technique used for …
In recent years, large language models have emerged as game-changer in the field of natural language processing (NLP). With the …
In this article, we will build a drug recommendation system using NLP and machine learning algorithms that will not only predict medical conditions but also recommend the top 3 drugs based on predicted medical conditions and top reviews and useful reviews count.