What’s the Difference Between AI, Machine Learning and Data Science?

Currently, there is widespread discussion and usage of data science, machine learning, and artificial intelligence, with occasional interchangeability of these terms. However, it is important to understand the correct way to approach these topics. In this post, we will provide a comprehensive explanation of the distinctions between data science, machine learning, and artificial intelligence, and […]

Upcycling and Repurposing: Breathing New Life into Old Objects

Upcycling and repurposing have many environmental benefits, and people are realizing that. Besides, reusing old stuff eliminates the need to buy new ones and saves money. Statistics show that over 21% of Americans regularly upcycle clothing, boxes, and other goods. Upcycling and repurposing are synonymous in the sense that they do not involve recycling, but […]

Technical Capabilities of Machine Learning Operations (MLOps)

Until recently, an integral part of the training was exposure to the standard software development life cycle (SDLC). This would start with requirements analysis, and then be followed by planning, engineering and design, development, testing, deployment, and finally maintenance. Many learn waterfall, iterative, and agile software development models also. Almost every organization is trying to […]

What is the Difference between Data Science and Machine Learning?

Data Science has evolved to become a powerful tool that Data Scientists use for the betterment of organisations. Data Science has become an inevitable tool used by most businesses in today’s world, irrespective of their size. The procedure involves several steps like detecting unique data information, analysing them, and understanding how they can be used […]