​

Artificial Intelligence (AI): AI is the overarching discipline focused on creating systems capable of performing tasks that typically require human intelligence. This includes problem-solving, understanding natural language, and recognizing patterns. AI encompasses various subfields, including machine learning and natural language processing.

​

Machine Learning (ML): ML is a subset of AI that involves developing algorithms that enable systems to learn from data and improve their performance over time without explicit programming. It's the driving force behind many AI applications, such as recommendation systems and autonomous vehicles.

 

Data Science: Data Science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. It involves data collection, cleaning, analysis, and visualization to inform decision-making. Machine learning techniques are often employed in data science to build predictive models.

Data Analytics: Data Analytics focuses on examining datasets to draw conclusions about the information they contain. It involves applying statistical analysis and technologies on data to discover trends and metrics that can inform business decisions. While data analytics can be a component of data science, it is more narrowly focused on interpreting existing data(we learn .

 

Discover the link between AI, ML and Data Science

​

Artificial Intelligence (AI), Machine Learning (ML), Data Science, and Data Analytics are interconnected fields that collectively drive advancements in technology and data-driven decision-making. 

 

 

​