By Lola Oyedotun Balogun
Artificial intelligence has been around for decades. The term artificial intelligence was coined in 1956 by John McCarty. Artificial Intelligence is the field of study that gives computers the “ability to learn without explicitly being programmed.”
Artificial intelligence is a field of computer science that makes a computer system that can mimic human intelligence. It is comprised of two words-“Artificial and Intelligence which means “a human-made thinking power.”
Machine learning is a subset of Al that allows machines to learn from past /historic data or experiences. It, therefore, builds the prediction model or output from the data
AI and ML were once the topics of science fiction decades ago, and are becoming commonplace in businesses today. And while these technologies are closely related, the differences between them are important. When you are talking about machine learning you are going to meet some people who’ve been doing it for 20 to 30 years but the reason that it has taken off in the last few years has been coming down to Computing power, Access to algorithms, Large data, and Continuous research. Over 100 billion US dollars have been invested in Machine Learning, Artificial intelligence by venture capital as of 2023. Three is a large amount of potential and opportunities.
Machine learning works on an algorithm that learns on its own using historical data/past data. It works only for specific domains such as machine learning models to detect pictures of dogs, it will only give results for dog images, but if we provide new data like cat images then it will become unresponsive.
Some of its real-life application- Netflix the online video streaming service, will recommend movies for you based on the shows or movies you have watched previously. If you have a profile setup. A few organizations have been using AI and ML technology in the past. However, because of continuous research, computing power, access to algorithms, large data, and funding. This technology is beginning to open up to the entire population.
Some Key Difference Between Artificial Intelligence and Machine Learning
| Artificial Intelligence (AI) | Machine Learning |
| Al Is a technology that enable computer to stimulate human behaviour. | Machine learning is a subset of Al that allows machine learn from past historic data or experiences. It therefore build the prediction model or output from the data
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| AI uses a structure, semi-structured and unstructured data
| Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate result or give predictions based on that data.
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| The goal of AI is to make smart computer system like human to solve complex problems.
| The goal of ML is to to allow machine to learn from data and give output for human use.
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| AL aim to create intelligence system which can perform various complex task
| ML aim to create machines that can perform only specific task for which they are trained for.
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| Popular application of AI are self driving cars, Chatbox, facial recognition system, Robot for cleaning and logistics | Popular application of ML are Chatgtp, online recommender system, Netflick, Amazon website which would likely recommend a movie or products based on previous user watch (historic data). Google search algorithms, Email spam filter, Facebook Auto friend tagging suggestion and the list goes on
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Machine learning is scaling fast. Getting familiar with its terminologies would spark some curiosity in you. Also, the ability to possibly contribute to the area. We are excited to see what AI and Machine learning has to offer in the nearest future.