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How to self study Artificial Intelligence and Machine Learning Online in 2022 for free.

RESOURCES MENTIONED:
Machine Learning Guide (Podcast) - https://podcasts.apple.com/us/podcast/machine-learning-guide/id1204521130
CS50's Introduction to Artificial Intelligence using Python - https://cs50.harvard.edu/ai/2020/
Andrew Ng, Machine Learning Specialization - https://imp.i384100.net/P0Q03e

AI is probably the most mysterious, fascinating,and to many, scariest, branch of computer science. Starting today, I plan to teach myself artificial intelligence and machine learning using MOOCs and other online resources.

To do this, I am going to be utilising my own 5-step process that I efficiently use to master any field or concept that I want to learn.

I am especially interested in Deep Learning, a subarea of Machine Learning based on reinforcement learning.

You might not know this, but you actually interact with deep learning algorithms every day.

The reason why you’re addicted to tiktok is because Tiktok’s machine learning algorithm knows precisely the types of videos it should feed you to keep you on the platform.

And how do they know this? It’s certainky not because there is some human sitting and quessing what videos to show you next, no, it is because by giving Tiktok’s clever machine learning algorithms a bunch of previous data of what you’ve watched and kept watching in the past it can figure out what has worked before and keep you giving more and more and more of that content and the more you watch the better it gets at this.

So because ML is a subarea of AI, I figured that the most logocal approach is to first study a general course on ai and then use more specialised resources to go deeper into ml including itsmost powerful manifestation, deep learning

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CHEPTERS:
0:00 Intro
0:23 How to get started with AI & ML
1:03 What is Artificial Intelligence & Machine Learning?
3:02 Browse more safely (SPONSOR: Guardio)
4:21 CS50 AI Course (Mini Review)
6:25 Best Machine Learning Course, Andrew Ng
6:59 The Most Important part
7:48 Why you clicked on this video

WHO AM I?
On this channel, my aim is to give you the tools, strategies and methods to learn to code effectively - according to science! In addition, I document my life as a self-taught software engineer.

DISCLAIMER: some of the links in the description may be affiliate links. If you purchase a product or service using the links that I provide I may receive a small commission.

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