Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.
Pros
- You can automate any process that would save time and money.
- You get a faster and accurate answer to most of the questions.
- Most of the mistakes can avoid because of human error.
Cons
- Build a powerful machine learning model requires lots of power.
- It is very difficult to make judgement calls once machine learning starts running.
- Machine learning is also a black box, which it means is very difficult for humans to understand the reason for its actions or answers.
Machine learning is an emerging field of study, it is removing boring and taking time tasks like calculating simple mathematics questions and analysing patterns of weather or conversations. Machine learning predicts answers based on input. There are lots of complex questions with inputs that you can answer using machine learning.
Applications of machine learning
- Predicting answer
- Finding pattern
- Finding anomalies
- Image compression
- Extracting features from data.
Watch this video before learning this topic.
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