What is AI and Machine Learning?
Artificial Intelligence (AI) is the science of enabling computers to mimic human analysis and problem solving skills. This allows computers to analyze vast amounts of data, something humans can’t easily do. Machine learning (ML) is a subset of AI technologies focused on training machines how to learn using data already collected. Those learned analytical skills can then be applied to other data. AI and ML helping people and businesses obtain actionable insights, make critical decisions, and take advantage of opportunities
ML is Data Science Automated
Machine learning, like data science, is evolving in our world of big data. Today, there’s more data collected than ever before, and more ways that data analysis can help businesses and organizations. Machine learning is crucial to data science because it can automate data analysis, and the generation of estimations allowing those processes to take place in real-time without human intervention. Businesses and organizations put ML systems into place to help with everything from loan approvals, to diagnosing cancer, to automating checkout at retail outlets, to identifying promising sales prospects.
Impact of AI and ML
Data science and machine learning go hand in hand. A data scientist tasked with building a system to produce estimates in real-time will have to leverage machine learning. In fact, machine learning is becoming one of the most in-demand data science skills. As more organizations seek to gain useful insights from their data, data scientists will have to create systems that can analyze big data, and produce accurate estimations using fast algorithms and data models trained for machine learning. ML fundamentals are quickly becoming a standard requirement for data scientists.
