Remove Computer Science Remove Decision Trees Remove Deep Learning Remove Support Vector Machines
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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

Because the datasets are unstructured, though, it can be complicated and time-consuming to interpret the data for decision-making. That’s where data science comes in. The term data science was first used in the 1960s when it was interchangeable with the phrase “computer science.”

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Creating an artificial intelligence 101

Dataconomy

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. Develop AI models using machine learning or deep learning algorithms. How to create an artificial intelligence?

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Five machine learning types to know

IBM Journey to AI blog

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Here, we’ll discuss the five major types and their applications.

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How to use AI: Everything you need to know

Dataconomy

Several algorithms are available, including decision trees, neural networks, and support vector machines. The field of computer science known as “artificial intelligence” (AI) focuses on creating intelligent machines that can accomplish jobs that would normally need human intelligence.