How to Get Started With AI in 2021 and Keep Up with Latest Innovations in ML

This is a complete guide to start and improve your knowledge of machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

The complete guide: https://medium.com/towards-artificial...
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The GitHub Repository with all the resources: https://github.com/louisfb01/start-ma...​

0:00​ - Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.
2:33​ - How to start
3:45 -​ YouTube Courses
4:21 -​ Books and Articles
5:00 -​ Maths behind ML
6:00​ - Programming & Online Courses
7:11 -​ Practice, practice, and practice...
8:03​ - Join Communities
8:45 -​ Use Cheat sheets
9:04​ - How to stay up-to-date
9:51 -​ Conclusion

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i get asked these two questions multiple

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times a day

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how can i start in machine learning and

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how can i follow the news in ai

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the first one takes multiple forms such

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as how can i start for free

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how can i start if i don't have a

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developer background or how can i start

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without any math

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etc so i decided to do this video to

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answer them

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once and for all of course since i will

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share many resources

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i also wrote a complete guide on how to

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start in machine learning in 2021

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from no background at all and for free

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as well as a github

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repository with all the useful links it

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is linked in the description below

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because of these pertinent questions

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i've researched a lot of resources

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online and i saved the best ones on a

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notepad over the past

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two years to quickly answer the next

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upcoming questions

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today i will share this notepad with

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everyone and list

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many great resources and give you some

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of my personal tips on how to learn and

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improve your machine learning skills

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and how do i stay up to date with all

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the news in the field

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oh and please let me know in the

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comments if you know any other great

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resources that i could add to this guide

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to make this learning process

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easier and better for everyone since

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this video is a bit special

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here are some important time stamps you

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can skip to if you'd like more

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information about a specific subject

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otherwise i will go through this guide

01:20

and show you how you can develop

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great machine learning skills without

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wasting money following your own needs

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one last thing if you are here to know

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how to stay up to date with the news in

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the field

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and learn about the new techniques you

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should consider subscribing to my

01:35

channel

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since i share exactly this type of

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content every week

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this guide is intended for anyone having

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zero or a small background in

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programming

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mathematics or machine learning this is

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why i will list

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resources for all these subjects but

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feel free to go at your pace and learn

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what you want to learn

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also there is no specific order to

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follow here i mainly listed them the way

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i will do it

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but feel free to start with whatever you

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feel you like the most

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final little note before sharing these

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tips with you

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it is super important do what you want

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to do

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if you don't like reading books skip the

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section if you don't want to follow an

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online course

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you can skip this one as well same thing

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for videos there is not a single way to

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become a machine learning expert and

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with motivation

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you can absolutely achieve it by

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creating your own path

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oh and don't be afraid or ashamed to

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replay videos or learn the same concepts

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from multiple sources

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repetition is the key to success in

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learning something new

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now let's dive right into it this

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section is mainly for complete beginners

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in my opinion the best way to start

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learning anything

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is with short videos on youtube and this

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field is no exception

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there are thousands of amazing videos

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and playlists that teach

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important concepts of machine learning

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for free on this platform

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and you should take advantage of them

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here i recommend two playlists to watch

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they will give you a great first

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introduction to the terms you need to

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know to get started in the field

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the first one is my own playlist where i

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explain the most used terms in the field

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which can be very helpful if you are

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just starting and then

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i'd suggest to dive a little deeper into

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the foundations of machine learning and

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deep learning

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and learn more about neural networks

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understanding neural networks and back

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propagation

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is the most important thing when

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starting and gives you an enormous

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advantage

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when you dive into more advanced

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lectures and courses

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for this i will recommend the great

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playlist made by

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three blue one brown now that you have a

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good basis of what a machine learning

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algorithm

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is how it works and how it learns using

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backpropagation you are ready to dive

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even deeper

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with more complete and advanced courses

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this step is a little longer since you

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will be watching

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many hours of free amazing courses on

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youtube

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and learn a lot from them please do not

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watch these courses while doing

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something else

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they are great resources that need

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concentration taking notes and asking

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questions

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through online communities as i will

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talk later in the video

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here i share three courses that i

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followed and loved personally

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which are the ones from mit stanford and

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andrew angie

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again i just want to remind you that all

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the links are in the repository

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linked in the description below so you

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don't have to note them down

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right away as it has been proven

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multiple times

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humans learn better by repeating and

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learning in different ways

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such as hearing writing reading watching

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and etc

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this is why it's as important to read as

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to watch videos for a better

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understanding

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you will cover many angles and have a

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more complete view of what you are

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trying to learn

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this section is a list of short articles

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and books that are completely free and

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optional

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if you are into reading i will suggest

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starting with these five short articles

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and then

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jump into the more advanced books books

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are a great way to learn at your rhythm

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be sure to understand everything before

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going into practice mode

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the final theoretical subject to cover

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here is the mathematics behind machine

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learning

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which are extremely important you can

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always just apply machine

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learning algorithms and tweak it until

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it works but you will never understand

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it correctly and improve it following

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this path

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if you have zero background in math

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don't worry just like

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most things in life you can learn math

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unfortunately for us

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there's an awesome website called can

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academy

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where you can learn many mathematics

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concepts all for free

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here are some great beginner and

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advanced resources to get into the

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machine learning map

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i also listed some great videos and free

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books you can check as well

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more is better i will also suggest

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starting with these three

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very important concepts in machine

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learning linear algebra

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probability and multivariable calculus

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which are the three courses i suggested

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of course

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if some subjects covered here are

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already a bit too advanced for you

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you can always look to complement these

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with other courses

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or books this section is for beginners

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in coding

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if you have no background at all in

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python or any other programming language

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this will get you starting and give you

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an awesome basis for machine learning

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programming

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if you are already pretty familiar with

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python you can skip to the next step

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here i list the best online courses to

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learn the programming side of machine

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learning using python

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and have a great background but you can

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always decide to learn with another

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language

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for sure now that you have a good

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understanding of the theory behind

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machine learning and a coding background

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you are ready to start your way into

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machine learning courses

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of course these are all optional here

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the first one is free

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and the other ones are paying since they

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will teach you

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many things and some even give you

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certifications you can use in your

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resume

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if you don't want to follow any courses

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you can jump to the next section and

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start to practice on your own

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it will be a little more difficult at

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first but with great googling skills

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and motivation you will be able to do

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this for sure

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otherwise if you prefer to have clear

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steps to follow

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these courses are the best ones to do

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starting from the basics to more

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advanced

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from top to bottom practice practice

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and practice the most important thing in

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programming

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is practice and this applies to machine

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learning too

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it can be hard to find a personal

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project to practice on

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but fortunately for us kaggle exists

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this website is full of free courses

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tutorials and competitions you can join

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competitions for free

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and just download their data read about

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their problem

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and start coding and testing right away

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you can even earn money from winning

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competitions and it is a great thing to

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have

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on your resume as well this may be the

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best way to get experience

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while learning a lot and even earn money

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you can also create teams for kaggle

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competition and learn with people

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i definitely suggest you to join a

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community to find a team and learn with

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others it is always better than learning

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alone

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the following section is devoted to this

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indeed

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most of the time the best way to learn

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is to learn with someone else

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join online communities and find

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partners to learn with

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this is the reason why i created a

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discord server a year ago

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with the goal of getting many ai

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enthusiasts and learn together

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ask questions find kaggle team mates

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share your projects and much more

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it is called learn ai together we are

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already more than 8 000 people

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in not even a year i will be glad to see

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you there

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and please reach out to me if you do you

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can also follow reddit communities where

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you can ask questions

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share your projects follow news in the

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field and more

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here i list the most popular ones that i

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follow on a daily basis

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finally i will recommend you to save

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cheat sheets on your computer

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tablet or even print them they are a

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very good way to compress information

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and have it all at hand here i list the

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best cheat sheets i could find

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and as i just said even if you are

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advanced you should definitely have them

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printed somewhere

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near your desk now another important

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thing in this field is to stay up to

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date with the new upcoming papers and

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new applications that are released

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every single day a great way is to join

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linkedin and facebook groups that are

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sharing these new applications

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you can also follow medium publications

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and youtube channels that are

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summarizing these new papers

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of course you are already at a pretty

09:26

good place for this since i personally

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do share news related to ai every week

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so you should definitely subscribe and

09:33

turn on the notifications to not miss

09:35

any future videos newsletters are also a

09:38

great way to have all the news condensed

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at one place

09:42

every day or week here i list a few of

09:44

the best ones i know that i personally

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use in my day to day life but you can

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surely search for more

09:50

in your fields of interest note that

09:52

this is a non-existent list of resources

09:55

you can definitely use more or less

09:57

resources and learn at your rhythm

09:59

you must follow your instinct to find

10:01

the best way you can learn

10:02

don't ever feel guilty about replaying a

10:04

video or reading an article twice to

10:06

understand a concept

10:08

we've all been through this and it is

10:10

perfectly normal

10:11

the most important thing is that you

10:13

understand the concept

10:14

and not that you go through the list as

10:16

quickly as possible let me know in the

10:18

comments if you know any other great

10:20

resources that i could add to this guide

10:22

to make this learning process

10:23

easier and better for everyone please

10:26

leave a like if you went this far in the

10:27

video

10:28

and since there are over 80 percent of

10:30

you guys that are not subscribed

10:32

yet please consider subscribing to the

10:34

channel to not miss any further news

10:36

thank you for watching

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[Music]