In this article, I will arrange all the previous articles and videos in a way that can help people understand Micro-Frontends, gradually, and implement Hands-On projects to understand more about the concept: Here is the YouTube Playlist: https://youtu.be/AZDDIgJSKU0 1. Micro-Frontend Basics: What, Why, and How This article can be a very good place to start. I explained…

In my previous article (https://www.linkedin.com/pulse/micro-frontends-hands-on-example-using-react-webpack-rany/), we built together a Micro-Frontend Host (MFE2) that renders a component from Micro-Frontend 1 (MFE1).

In this article and the attached video, I will go through a real-world experience that I have done to migrate from Monolithic architecture to Microservices. This will be a hands-on video What is a Monolith? “Monolith” You might have been hearing this word a lot, recently, or its other synonym “Monolithic Architecture”. It…

In the rapidly evolving field of natural language processing (NLP), Large Language Models (LLMs) such as GPT-J 6B, with their billions of parameters, have emerged as front-runners. While these models demonstrate remarkable abilities in tasks like text generation, sentiment analysis, and language translation, their generalist nature often requires fine-tuning for…

Regression analysis is a cornerstone of machine learning, offering a way to predict continuous outcomes based on previous data. It’s used across various fields, from forecasting stock prices to determining real estate values. In essence, regression helps in understanding the relationships between variables and forecasting trends or values. 2. Types of Regression Linear Regression…

In the rapidly evolving landscape of artificial intelligence, fine-tuning large language models (LLMs) has become a cornerstone for developing highly specialized and efficient applications. Among the most promising developments in this realm is the integration of LLama2 with Lamini, a state-of-the-art platform designed for enterprises and developers. Lamini stands out…

Frequentist Statistical Inference is a fundamental aspect of statistical analysis that allows researchers to draw conclusions about a population based on a sample. This process, essential in many scientific, industrial, and social research fields, hinges on the principle that a well-chosen sample can provide insights into the characteristics of a…

In the realm of statistics and data analysis, estimating the characteristics of a larger population from a smaller sample is a fundamental and practical approach. This method is not only efficient but also necessary, especially when it’s impractical or impossible to study an entire population. …

Embarking on a journey, whether it be a family trip to Hawaii or a foray into the world of Machine Learning (ML) and Data Science (DS), begins with preparation and planning. For the former, questions like the cost of the trip or the best season to travel are essential. For…