It is intimidating to make the transition from a non-technical background into data science, but with the right approach, it's possible. Regardless of the business, social sciences, arts, or any…
Data science and data analysis are two highly important roles within an organization in today's highly data-driven world. Even though they are related, their duties, skill sets, and career tracks…
Data science remains one of the most in-demand and dynamic fields. It is open to a variety of opportunities, as long as a person is properly equipped with skills and…
Version control is very important for ML projects since they are pretty complex and iterative, hence model development. Without proper version control, it might be hard to manage changes, reproduce…
A standout portfolio is one of the most critical requirements in this rapidly evolving world of data science. It allows one to showcase his skills, unique approaches to solving data-related…
In the digital era, cybersecurity is a matter of extreme importance for both organizations and individuals. Cyber threats evolve with increased sophistication and frequency; traditional security systems have not, in…
TensorFlow and PyTorch are significant frameworks for deep learning. TensorFlow is developed by Google Brain, known for great robustness and development readiness. PyTorch is developed by the AI Research lab…