ML Adavantages

              

                 Advantages Of Machine Learning

To wrap up our discussion of the microlending example, we list some of the most prominent advantages to using a machine-learning system, as compared to the most common alternatives of manual analysis, hardcoded business rules, and simple statistical models. The five advantages of machine learning are as follows:

  • Accurate:- ML uses data to discover the optimal decision-making engine for your problem. As you collect more data, accuracy can increase automatically.
  • Automated:- As answers are validated or discarded, the ML model can learn new patterns automatically. This allows users to embed ML directly into an automated workflow.
  • Fast:- ML can generate answers in a matter of milliseconds as new data streams in, allowing systems to react in real-time.
  • Customizable:- Many data-driven problems can be addressed with machine learning. ML models are custom built from your own data and can be configured to optimize whatever metric drives your business.
  • Scalable:-As your business grows, ML easily scales to handle increased data rates. Some ML algorithms can scale to handle large amounts of data on many machines in the cloud.
Machine Learning also has some advantages like, it reduces the effort to analyze the data to know about our business sales and profit and it can made it so easy that anybody can do this

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