AI is defined as a program that exhibits cognitive ability similar to that of a human being. To understand what machine learning is, we must first look at the basic concepts of artificial intelligence (AI). We will also take a look at the difference between artificial intelligence and machine learning. In this article, we’ll dive deeper into what machine learning is, the basics of ML, types of machine learning algorithms, and a few examples of machine learning in action. Machine Learning has become so pervasive that it has now become the go-to way for companies to solve a bevy of problems.
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Today, every other app and software all over the Internet uses machine learning in some form or the other.
The eventual adoption of machine learning algorithms and its pervasiveness in enterprises is also well-documented, with different companies adopting machine learning at scale across verticals. Some might even argue that AI/ML is required to stay relevant in some verticals, such as digital payments and fraud detection in banking or product recommendations. In the increasingly competitive corporate world, ML is enabling companies to fast-track digital transformation and move into an age of automation. Machine Learning (ML) has proven to be one of the most game-changing technological advancements of the past decade.
In this article, we explain machine learning, the types of machine learning and its applications in enterprise settings.Īrtificial Intelligence Vs. Machine Learning field has undergone significant developments in the last decade.” “Machine Learning is defined as the study of computer programs that leverage algorithms and statistical models to learn through inference and patterns without being explicitly programed.
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