The Limitations of Machine Learning

The Limitations of Machine Learning

In this article, I aim to convince the reader that the Limitations of Machine Learning. Is ML is right solution or wrong solution? Read here!

Machine learning is now seen as a silver bullet for solving all problems, but sometimes it is not the answer.

“If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.”

— Andrew Ng

Most people reading this are likely familiar with machine learning and the relevant algorithms used to classify or predict outcomes based on data. However, it is important to understand that machine learning is not the answer to all problems. Given the usefulness of machine learning, it can be hard to accept that sometimes it is not the best solution to a problem.

In this article, I aim to convince the reader that there are times when machine learning is the right solution, and times when it is the wrong solution.

Machine learning, a subset of artificial intelligence, has revolutionalized the world as we know it in the past decade. The information explosion has resulted in the collection of massive amounts of data, especially by large companies such as Facebook and Google. This amount of data, coupled with the rapid development of processor power and computer parallelization, has now made it possible to obtain and study huge amounts of data with relative ease.

ai & machine learning artificial intelligence ethics machine learning

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