Machine Learning

There is no need to say the importance of time series forecasting applications in various industries from Energy to Healthcare, etc. Therefore, let’s go to the point directly. One of the complex and difficult challenges that we can face while working on time series datasets is their variety in statistical…

Python is the most popular programming language on the planet. Within Python, there are a number of hidden gems. I am sure that you may be aware of many of them. However, some may be new to you. In this short article, I am not going to write about each…

Weekly newsletter with over 120,000 subscribers that discusses impactful ML research papers, cool tech releases, the money in AI, and real-life implementations. — TheSequence The best source to stay up-to-date with the developments in the machine learning, artificial intelligence, and data…thesequence.substack.com 📝 Editorial: Meta AI’s Make-A-Video Generative models based on textual inputs are experiencing tremendous momentum. Models such as DALL-E, Midjourney, and Stable Diffusion have captured the imagination of not only the AI community but artists, designers, gamers, and creative minds across many different domains. When thinking about the next milestone for text-to-image synthesis models, video…

Know about some statistical concepts that will help you on your journey as a data scientist or analyst — [Disclaimer: This post contains some affiliate links to my Udemy Course] Statistics are one of the major component of data scientists’ job description. Knowing statistics is specially important when it comes to making conclusions about data or models, avoiding common pitfalls that we can fall into when building models or…