Artemis Takes Aim

An absolute beginner’s guide to machine learning, deep learning, and AI

This article was posted by SmileJet on Dev Battles.

Meet Samantha. She’s your friendly assistant from 2025. She sorts your mail, sets up your meetings, and orders groceries. She paints and writes poetry. She’s your best friend. She’s also an artificial intelligence from the movie Her, which imagines how a juiced-up Siri will change our lives.

Now, tech companies large and small are racing to make this a reality. You’ve read the news. You’ve heard the jargon: AI, machine learning, deep learning, neural networks, natural language processing.

Maybe it’s all a little confusing. So here’s a primer on these concepts and how they’re interrelated.

Table of Contents :

What is artificial intelligence, or AI?

Narrow, or weak AI

Strong, or general AI

The anatomy of AI

 1.  Perception

 2.  Natural language processing (NLP)

 3.  Knowledge representation

 4.  Reasoning

 5.  Planning and navigation

Tools to get there

When machines learn

From Siri to Samantha

You can find all this information, here.

DSC Resources

Additional Reading

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Diana L. Ascher, PhD, MBA, is a principal at Stratelligence and a co-founder of the Information Ethics & Equity Institute. Her lifelong interest in knowledge and decision making has focused on the evaluation, classification, organization, communication, and interpretation of information, and motivates her work in the fields of behavioral science, finance, higher education, information studies, journalism, law, leadership, management, medicine, and policy. She brings more than two decades of experience as a writer, editor, media director, and information strategist to her work.

DianaAn absolute beginner’s guide to machine learning, deep learning, and AI

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