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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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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles from statistics, mathematics, computer science, and domain-specific knowledge to analyse and interpret complex data.

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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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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases.

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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.