The advances in technology and the recent surge in machine learning and artificial intelligence (AI) have been nothing short of remarkable. Automation is slowly replacing manual labor in our daily lives, and there’s no better example of this than with AI and machine learning. Whether you’re a robot scientist or a layperson with a passion for technology, it’s impossible to ignore the tremendous impact that AI systems have made and continue to make in the modern world—from driverless cars to facial recognition technology. But what is machine learning and how does it work?

What Is Machine Learning?

Machine learning is a subset of artificial intelligence that enables computers to interpret and learn at a shallow level. It uses a series of algorithms to interpret data, train machines with examples, and allow them to make decisions based on the largest amount of information available. Machine learning enables computers to develop a model from the data they are given, and then use that model to make predictions about unseen data. For example, machine learning is used to identify patterns in large datasets to make predictions about the future, from stock market trends to analyzing images to detect cancer.

What Is Artificial Intelligence?

Artificial intelligence (AI) is a broader classification of computer science, which encompasses machine learning and natural language processing (NLP). It is the science of creating machines that think and act like humans. AI systems are able to make decisions autonomously, solve complex problems, and learn from the environment around them. AI allows machines to “understand” language, infer directions, and process large amounts of data faster than humans. This allows AI systems to better predict outcomes and make better decisions than humans.

The Difference Between Machine Learning and Artificial Intelligence

Although there is considerable overlap between machine learning and artificial intelligence, they are not the same thing. Machine learning is a subset of AI and focuses on algorithms that automate the process of learning from data. AI on the other hand, is the science of creating intelligent machines that are able to think and reason more like humans do. AI is what drives the predictive models produced by machine learning and makes decisions autonomously, solving complex problems and understanding language.

Applications of Machine Learning and Artificial Intelligence

The applications for machine learning and AI are virtually endless. Machine learning is used to power innovative technologies such as predictive analytics, computer vision, natural language processing (NLP), and more. AI is being used to create self-driving cars, identify and respond to customer queries, and develop virtual and augmented reality applications.

Conclusion

Machine learning and artificial intelligence are transforming the way we live, work and play. From medical diagnostics to driverless cars, and from forecasting markets to creating virtual assistants, machine learning and AI are driving the world in ways unimaginable just a few years ago. While AI and machine learning are not the same thing, they both have tremendous potential to change the world and improve our lives.

FAQs

What is machine learning?

Machine learning is a subset of artificial intelligence that enables computers to interpret and learn at a shallow level. It uses a series of algorithms to interpret data, train machines with examples, and allow them to make decisions based on the largest amount of information available.

What is artificial intelligence?

Artificial intelligence (AI) is a broader classification of computer science, which encompasses machine learning and natural language processing (NLP). It is the science of creating machines that think and act like humans. AI systems are able to make decisions autonomously, solve complex problems, and learn from the environment around them.

What is the difference between machine learning and artificial intelligence?

Although there is considerable overlap between machine learning and artificial intelligence, they are not the same thing. Machine learning is a subset of AI and focuses on algorithms that automate the process of learning from data. AI on the other hand, is the science of creating intelligent machines that are able to think and reason more like humans do.

What are some applications of machine learning and artificial intelligence?

The applications for machine learning and AI are virtually endless. Machine learning is used to power innovative technologies such as predictive analytics, computer vision, natural language processing (NLP), and more. AI is being used to create self-driving cars, identify and respond to customer queries, and develop virtual and augmented reality applications.

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