Discover the insights and takeaways from the MLCon conference in Berlin, where experts shared their knowledge on machine learning strategy, product development, and cutting-edge AI techniques. Gain valuable insights into the challenges and best practices in ML, and explore the practical applications of embeddings, federated learning, and more.Read More →

As a data scientist, you’re always looking for ways to improve the accuracy and efficiency of your models. With the advent of large language models like ChatGPT, you now have access to a powerful tool that can help you accomplish just that. ChatGPT is a state-of-the-art language model that isRead More →

Those who are not new to my website, probably will remember my article from several months ago when I experimented with Microsoft MLFlow. If not, I highly recommend you to start from there, where I have explained the MLOps concept in detail. As this topic is definitely not losing onRead More →

If you have ever tried to Google something like “What skills are necessary for a career in data science?”, you have probably been presented an extensive list of skills like statistics, mathematics, software development, machine learning, deep learning and many more. Each of those areas are disciplines in itself whichRead More →

Introduction Have you ever heard about the 34 CliftonStrengths Themes or Gallup Test? In short, the whole idea is about the fact that although people can learn skills, develop their knowledge and gain experiance, they can’t acquire talent. It’s innate. Each of us is unique and trying to achieve anythingRead More →