What Is Machine Learning? How It Works, Technique and Why It matters Keval Padia
Machine learning powers algorithms in the way that they solve difficult problems that improve our daily lives. The computer creates a model with a training set of representative data which can be put against an expected output. The model will be better and more accurate depending on the data the computer can take into consideration.
The storage and processing frameworks have helped the machine learning algorithm in storing and processing an immensely huge amount of unstructured data. This is of great help to data scientists, as the potential to create algorithms that are conducted by actual data is a big advantage. There are several machine learning techniques like Anomaly Detection, Natural Language Processing, Recommendation Engines, Named Entity Recognition, and Image Recognition.