Introduction to Machine Learning

In this video, we'll be discussing the steps you can take to get started in machine learning. Whether you're a complete beginner or have some experience with coding and data analysis, this roadmap will give you a clear path forward to begin building your skills.
💻 Register for NVIDIA GTC and attend an event to be entered to win a RTX 4080: nvda.ws/3j19YDK
💻 Enter to win a RTX 4080 or NVIDIA e-learning course discount code: forms.gle/sxFaZwoa3MPh9kjp9
💻 Fundamental Machine Learning Algorithms Tutorial: • Python Machine Learnin...
💻 Neural Networks Tutorial: • Python Neural Networks...
💻 FreeCodeCamp Machine Learning Tutorial: • TensorFlow 2.0 Complet...
💻 Flappy Bird AI Tutorial: • AI Plays Flappy Bird -...
💻 Master Blockchain and Web 3.0 development today by using BlockchainExpert: algoexpert.io/blockchain - use code "tim" for a discount!
💻 ProgrammingExpert is the best platform to learn how to code and become a software engineer as fast as possible! programmingexpert.io/tim - use code "tim" for a discount!
⭐️ Timestamps ⭐️
00:00 | Learning ML & AI
01:03 | Machine Learning Steps
03:45 | RTX 4080 Giveaway!
05:26 | Learn Python!
06:31 | Math
07:37 | Python Libraries
08:55 | Fundamentals ML Algorithms
10:48 | Advanced Machine Learning
13:50 | Conclusion
◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️
👕 Merchandise: teespring.com/stores/tech-wit...
📸 Instagram: / tech_with_tim
📱 Twitter: / techwithtimm
⭐ Discord: / discord
📝 LinkedIn: / tim-ruscica-82631b179
🌎 Website: techwithtim.net
📂 GitHub: github.com/techwithtim
🔊 Podcast: anchor.fm/tech-with-tim
🎬 My KZbin Gear: www.techwithtim.net/gear/
💵 One-Time Donations: www.paypal.com/donate?hosted_...
💰 Patreon: / techwithtim
◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️
⭐️ Tags ⭐️
- Tech With Tim
- Machine Learning
- AI Roadmap
⭐️ Hashtags ⭐️
#techwithtim #machinelearning #python

[@rishabruh]

came for the cat stayed for the cat

[@garfield-pro]

couldn't find my mate in the video.

[@THE-MYSTIC]

Cap

[@BAMBAMBAMBAMBAM-]

He also cats for the cat

[@tomwalshaw518]

Great video, Tim! I really appreciated you breaking down the steps and giving your insights! I'm playing catch up on all your content and really enjoy the way you present and instruct!

[@starfinitex]

Thanks tim for shedding light on the topic

[@QuocDatPhung]

I chose Computer Science because I wanted to learn about ML. Thank you for all the resources!

[@Volpix28]

Yes i agree - I also think RL is the most interesting field in AI. Currently trying to test relative reachability on some of the Gridworld environments to get a grasp of how to tackle side effects in RL. At first i wanted to use SafeLife for a dynamic environment but i could not get the wheel running 😅

[@emilprzygonski8113]

Thank you Tim for your content! Did you consider making some MLOps videos?

[@usamashami11]

Amazing video ❤ Your ML videos are already on my todo list

[@IntricateMoon]

Thank you Tim! Hopefully ill be one of those lucky people 🥰 More content in the future please!

[@mahmodi5timetolearn]

A hi from Italy it was a perfect piece of information

[@abdullahawan1173]

Great Effort bro 👍

[@philiplorber1255]

Could you differentiate future work labor between blockchain dev and AI, like in terms of how and why do you see one area more promising than the other?

[@YMHH22KK1]

Thanks for the information..

[@madhavaraj133]

I don't know why,there is a lot for joy for me while learning about AI and ML

[@Galottiful]

You rock. This helped so much

[@caw25sha]

Classification: cat Confidence score: 0.9 Classification: Canadian lynx Confidence score: 0.1

[@jayant9416]

Hey tim!! is there any complete playlist to learn machine learning.... Just lost in your channel.

[@BusyBeeGal]

Hi Tim! Why don't you start a project on a facial recognition attendance system?

[@kakomamakondo8884]

Do you have a video on how to deploy Machine learning or AI projects?

[@atahirince]

very informative, thanks

[@SirDomin8r123]

Probably the most important and time consuming step, in my experience, in the 'machine learning steps' is feature engineering which it looks like you missed. You could argue this is covered in data cleaning or data selection (I wouldve though data selection would happen before cleaning as well, its a bit of a waste of time to clean data you're not going to use) but really it is its own step and in my experience by far the most important and time consuming. Another step you missed is the exploratory analysis of the data. Before you throw it into a model you need to understand what the data looks like, or else you'll end up with a model that you have no idea whether the result is valid.

[@centrelinemining7052]

You clean the data first so when you save it, it is clean right form the beginning and can be used easily on the next project, more so good coding implementation practice. a good place to learn that is coursera where it teaches you R programming and more.

[@berkayersoy]

Thank you eventhough I'm going more for Analytics path, it was indeed interesting, hope to win the GPU so I can have a desktop computer again ;(

[@fernandojavierbianchi431]

here in argentina im so worried about affording meal that i feel a dumb watching at these videos. wish me luck tim!

[@AK-nm1jh]

Same in iraq

[@coffeebeansncomputermemes]

I am sorry to hear that. I really hope things get better for you. I know I'm not Tim but good luck!

[@fernandojavierbianchi431]

@@coffeebeansncomputermemes thank you for supporting. last night i began a goverment programming course, one day ill be workin with my family in a better country. luck for all ✌✌

[@gpk1805]

You said you will be giving away RTX 4080 although your form mentions RTX 4080 in the heading but RTX 3090 ti in the subheading Please check this issue

[@fvazquez64]

I have pycharm installed and Python 3.12 and I havn't been able to install Pychar nor Tensorflow... I already tried installing python 3.8 and it wont work either... any ideas why? Thanks Tim I like your videos because you explain very clear...

[@robertmazurowski5974]

You have GPT4, Why would you train your custom models?

[@curiousphilosopher2129]

Book recommendation: "A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)."

[@mqasim.chandio1]

Is the background music from "Interstellar"?

[@mahdlinux8163]

but what about hypertuning, isn't that essential part of the work?

[@mrpresident328]

its 2023 and Tim has a beard 😄

[@FISHnEX]

CAN YOU PROVIDE THE NAME OF THAT BACKGROUND PIANO?

[@filmyguyyt]

i am watching this guy after 3 years

[@TechWithTim]

Thank you so much for your continued support :)

[@filmyguyyt]

hahahhaa

[@filmyguyyt]

@@TechWithTim would you like coming in contact on discord

[@eightsprites]

where is the 🐈?

[@sreerenjan4566]

How did you learn all of this 😱

[@facurod1392]

What is doing this machine in the back ? An antenna ? Ventilator ? Anybody knows ?

[@sheryfhabib4060]

I think it's a bladeless fan

[@facurod1392]

@@sheryfhabib4060 Thats really genius!

[@deyannedyalkov8930]

R is different from Rust ... But good information thank you :)

[@himalkunwar9]

I think AI will be traind efficient in 2/3 years to replace kinda web technologies , AI industry is still safe in my case

[@Imnotsoumyajit]

I have been a web developer for 4 years and I hate it...I am shifting towards data science starting this year...Tim can you continue teaching and making a few videos on the topic please?

[@vision_lc]

Why you leave web development ?? Plz reply

[@jeannepaulinepeponette8043]

yeah same question, why do you hate web dev ?

[@Imnotsoumyajit]

It's really polarizing to me and I'm intrigued by the capability of the algorithms and techniques to achieve information I wouldn't have received otherwise .. In a nutshell it's something I want to pursue

[@user-rs5yq4gz3v]

CSSS MPLIAX

[@shreyaschitti8792]

Omg tim jas beard😂 ur subscriber since 2019

[@BookOfMorman]

That thumbnail was so unsettling that I had to click this video lol

[@filmyguyyt]

uff bro pls tell the way to do ml/ai without a 4080 I cant use any money on it

[@diwakar_tsn]

That is not rust 😢

[@sandeepvk]

Machine learning is mostly a slippery slope, best left for large companies like Google and Tesla

[@garfield-pro]

Where's my pal?

[@vitietthiet2237]

Come for the cat, stay for the facts.

[@fichtensaft5149]

Where's cat

[@cometolearn8598]

First

[@LucasAleatorioRandom]

It depends of the strategy, but it's a good idea to adjust your error tolerance when you try different settings, models, etc. Because the chance you get a false positive when you make multiples attempts increases. Sorry for the bad English, it's only my third language

[@jenex5608]

lol i have ML exam for colege tomorrow

[@techme6053]

Nest teacher but cant afford his courses

[@razdingz]

I see cat , i click

[@yondamhokage1977]

wheres the cat

[@yking8565]

Cat Machine Learning

[@melissaleigh3013]

CAT

[@mkson1]

Math