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An Introduction to Machine Learning
For Non-Members: An Introduction to Machine Learning
Introduction to Machine Learning
Machine Learning is the most widely used branch of computer science nowadays. It is used by many industries for automating tasks and doing complex data analysis. We already are using devices that utilize them. For Example, an intelligent assistant like Google Home, wearable fitness trackers like Fitbit. There are a bunch of examples around us with ML in use.
- Prediction — Machine learning can also be used in the prediction systems. Considering the loan example, to compute the probability of a fault, the system will need to classify the available data in groups.
- Image recognition — Machine learning can be used for face detection in an image as well. There is a separate category for each person in a database of several people.
- Speech Recognition — It is the translation of spoken words into the text. It is used in voice searches and more. Voice user interfaces include voice dialing, call routing, and appliance control. It can also be used as simple data entry and the preparation of structured documents.
- Medical diagnoses — ML is trained to recognize cancerous tissues.
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History Of Machine Learning
It was back in 1945 when the first electronic general-purpose computer was developed. It was Turing-Complete, digital and able to solve a large class of numerical problems through reprogramming. The name of the computer was ENIAC (Electronic Numerical Integrator and Computer).
