If you are an aspiring data scientist, you may have come across the terms artificial intelligence (AI), machine learning, deep learning and neural networks.

There is some overlap between the roles of a machine learning engineer and a data scientist. Likewise, you might be required to call upon skills such as data mining, predictive analytics ...

Which career path is right for you? Web Development, Data Analytics, or Machine Learning? Discover the skills, job roles, and future prospects of each field to make an informed decision.

Data Science: An interdisciplinary field that combines statistical analysis, machine learning and domain expertise to extract actionable insights from complex data sets.

Education Needed: Bachelor’s or master’s degree in computer science, software engineering, data science, machine learning, mathematics or statistics Career Overview: These roles vary based on ...

Generally, machine learning engineers must be skilled in computer science and programming, mathematics and statistics, data science, deep learning and problem solving.

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

To become a machine learning engineer, one needs to have technical skills like probability, statistics, software engineering, data modelling, and programming languages like Python and R.