What is Machine Learning?

[Machine learning is a branch of computer science that involves training computers to perform tasks akin to human learning. The machine learning process uses various algorithms that apply transformed data collected from diverse sources, for learning. The output is iteratively evaluated until the most accurate results are achieved.

[Machine learning works on a set of processes. First, raw data is collected from different sources. From that, the relevant data is sorted, grouped, processed, and transformed to make it ready for analysis. The data is then fed to the chosen machine learning algorithms, which train and produce the output. The output is evaluated and improvised until the desired results are achieved.

[Machine learning is a branch of AI where machines learn how to perform certain tasks that could previously be done only by humans. Machines do this by collecting volumes of data, processing the data, and applying the relevant algorithms, until the desired result is achieved.

Machine learning algorithms require huge volumes of structured, semi-structured, and unstructured to produce near-accurate results. While the database you want depends a lot on the types of problems you are trying to solve, you should look for databases that can handle volumes of data with ease and provide data security, scalability, and powerful processing capabilities. MongoDB Atlas is a good choice for data-intensive applications, as along with the above features, it also offers real-time analytics, charts, and a dashboard to process data.