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Machine Learning Guide

MLG 016 Consciousness

Machine Learning Guide

OCDevel

Artificial, Introduction, Learning, Courses, Technology, Ml, Intelligence, Ai, Machine, Education

4.9848 Ratings

🗓️ 21 May 2017

⏱️ 74 minutes

🧾️ Download transcript

Summary

Support my new podcast: Lefnire's Life Hacks

Can AI be conscious? ocdevel.com/mlg/16 for notes and resources

Transcript

Click on a timestamp to play from that location

0:00.0

Welcome back to Machine Learning Guide. I'm your host, Tyler Rinelli.

0:05.0

MLG teaches the fundamentals of machine learning and artificial intelligence.

0:09.0

It covers intuition, models, math, languages, frameworks, and more.

0:13.0

Where your other machine learning resources provide the trees, I provide the forest.

0:18.0

Visual is the best primary learning modality, but audio is a great supplement during exercise commute and chores.

0:25.6

Consider MLG your syllabus with highly curated resources for each episode's details at OCdevel.com forward slash MLG.

0:35.6

I'm also starting a new podcast which could use your support. It's called

0:39.9

Lefnear's Life Hacks and teaches productivity focused tips and tricks, some which could prove

0:45.5

beneficial in your machine learning education journey. Find that at Ocdevel.com forward slash

0:51.9

LLH. This is episode 16, consciousness.

0:57.3

This is going to be my favorite episode to make.

0:59.9

This is a topic near and dear to my heart, the concept of artificial consciousness.

1:05.8

Can and will artificial intelligence, when done right, be conscious?

1:12.3

An extremely controversial topic to be sure.

1:15.7

And one which will require a definition of consciousness.

1:18.6

We'll get into that in a bit.

1:19.8

But before we get into consciousness, let's talk about the inspirations that drive people

1:24.9

into the field of artificial intelligence.

1:27.1

We've talked about this before in a very early episode, the various inspirations that drive people into the field of artificial intelligence. We've talked about this before

1:28.2

in a very early episode, the various inspirations bringing people into the field. In the past,

1:33.5

people who were developing in artificial intelligence, or probably more specifically in machine learning,

1:38.2

got into the space because they just wanted to solve interesting and challenging problems.

...

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