A Beginners Guide to AI/ML

Artificial Intelligence (AI) and Machine Learning (ML) are complex fields that require a lot of knowledge to navigate. AI refers to machines carrying out tasks requiring human intelligence, while ML is an application of AI where machines learn from data and transform it into action. The roles of Data Scientists and ML Engineers are often confused, with the former focusing on research environments and algorithm definition, and the latter on deploying models in production and monitoring their performance. Monitoring is not enough; observability digs deeper to understand why issues emerge. Responsible AI is an ongoing process that requires constant attention and adaptation to ensure fairness and bias mitigation.