How To Self Study AI FAST

4 місяці тому

Head to brilliant.org/TinaHuang/ to get started for free with Brilliant's interactive lessons. The first 200 people will also get 20% off an annual membership.
A video to learn AI skills for my short attention span friends who keep giving up on learning this field.
✉️ NEWSLETTER: tinahuang.substack.com/
It's about learning, coding, and generally how to get your sh*t together c:
🤖 AI Lunch & Learn series: www.lonelyoctopus.com/email-s...
It's a FREE weekly 1hr livestream about AI & tech topics eg. how to build a GPT, how to build AI products, jobs in the era of AI etc.
🐙 Lonely Octopus: www.lonelyoctopus.com/
Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!
🤝 Business Inqueries: tally.so/r/mRDV99
🖱️Links mentioned in video
========================
Freecode camp for python: • Introduction to Progra...
Python book: automatetheboringstuff.com/
Introduction to AI: • [1hr Talk] Intro to La...
Prompt engineering course: www.deeplearning.ai/short-cou...
Josh Starmer: / @statquest
Math for Machine Learning: imp.i384100.net/math-for-ml
Stanford Statistics: www.coursera.org/learn/stanfo...
Brilliant Neural Network course: brilliant.org/courses/intro-n...
Brilliant Intermediate Deep Learning course: brilliant.org/courses/artific...
Deep Learning Course: • Happy Halloween (Neura...
Deep Learning Specialization: www.coursera.org/specializati...
Computer Vision Specialization: www.coursera.org/learn/introd...
Natural Language Processing Specialization: www.coursera.org/specializati...
Beginner project with starter code: github.com/fiverrhellotinah/y...
🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
365datascience.com/learn-sql-...
365 Data Science:
365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
stratascratch.com/?via=tina
🎥 My filming setup
========================
📷 camera: amzn.to/3LHbi7N
🎤 mic: amzn.to/3LqoFJb
🔭 tripod: amzn.to/3DkjGHe
💡 lights: amzn.to/3LmOhqk
⏰Timestamps
========================
00:00 intro
📲Socials
========================
instagram: / hellotinah
linkedin: / tinaw-h
discord: / discord
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
• How I consistently stu...
How I would learn to code (if I could start over):
• How I would learn to c...
🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: / tinaw-h
email for business inquiries only: hellotinah@gmail.com
========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

КОМЕНТАРІ: 393

@TinaHuang1 4 місяці тому

Head to brilliant.org/TinaHuang/ to get started for free with Brilliant's interactive lessons. The first 200 people will also get 20% off an annual membership.

@sandroamaglobeli7281 4 місяці тому

chili sauce

@ripfrickingben 4 місяці тому

what keyboard are you daily driving tho

@user-fx7li2pg5k 14 днів тому

nice job ,well done we need more of you's ,Tina is sisters name

@vxb.__ 7 днів тому

Self Study AI Checklist: Beginner 1. Learn Python --- APIs (v. imp) 2. Learn LLMs 3. Learn Prompt Engineering --- Make a Project (Chatbot, Image Generator, etc) Intermediate 4. Learn Python libraries: -- Numpy -- Pandas -- Matplotlib -- Scikit-learn 5. Learn Maths: -- Calculus -- Linear Algebra -- Probability 6. Learn Statistics: -- Inferential Stats -- Descriptive Stats -- Hypothesis Testing -- Central Limit Theorem -- Distributions -- Confidence Intervals As a CSE grad, most and maybe all of these were taught but my brain was not braining. Lets see how long can I go this time. I dont know if this will be of help tbh, but good video Tina ☺

@visual_punch 5 днів тому

Where I an learn llm's

@arunkkumark9094 4 місяці тому

Lovely and insightful video !! Thanks for sharing out Tina☺

@kamertonaudiophileplayer847 4 місяці тому

It's a very useful video, first you feel frustrated and lost, but after viewing it, you clear understand AI and get ready for a real work. Thank you and happy next machine learning year, 2024.

@xllAyato 4 місяці тому

Best video I have seen about AI so far. Your video gave me a light when I was lost in the sea of AI.

@paulp5342 4 місяці тому

Thank you, this is such a fantastic video, full of great resources and really well presented 😊

@qpurple4194 2 місяці тому

I just want to say thank you so much! This is the most valuable video I have ever watched on UKposts. Especially including Coursera courses is very thoughtful of you

@kenchang3456 4 місяці тому

Hey, that's me...a distracted, short attention span learning. Thanks for this.

@shanesingh7170 2 місяці тому

thats me too! oh look a squirrel!

@Rockstar.919 Місяць тому

Stop doing stuff that require short attention span .. like reels , yt short... Trust me it works ..

@anshay6913 Місяць тому

that's us buddy you are not alone in this

@ilah5970 3 місяці тому

Yes definitely make more videos like this! Extremely helpful ❤️

@TinaHuang1 4 місяці тому

🎯 Key Takeaways for quick navigation: 00:00 🧑‍🎓 *Introduction to Learning AI* - The video introduces the challenge of learning AI and sets the stage for a new learning method. 00:57 🎯 *The Renon Method* - The Renon Method is introduced as a way to learn AI incrementally by starting with the basics and progressively building knowledge. - It involves creating small AI projects to maintain motivation and enthusiasm. 02:07 🤖 *Understanding Machine Learning* - An explanation of machine learning is provided, focusing on pattern recognition in data. - The example of a hot dog or not-hot-dog model is used to illustrate machine learning. 03:48 🍕 *How AI Models Learn* - Details on how AI models, such as the hot dog or not-hot-dog model and ChatGPT, learn from data. - The concept of probabilities and predictions is explained. 05:13 📚 *Learning Python and APIs* - Recommendations for learning Python basics and using APIs to interact with AI models. - Resource suggestions for Python learning are provided. 07:07 🔢 *Learning Math and Statistics* - Guidance on essential math and statistics topics for AI, including calculus, linear algebra, and probability. - Resource recommendations for learning these subjects are given. 09:00 🧠 *Deep Learning and Specializations* - Introduction to deep learning, neural networks, and specialization areas like computer vision and natural language processing. - Resource suggestions for deep learning are shared. 11:25 🛠️ *Building AI Projects* - Advice on starting to build AI projects, contributing to open-source AI models, and fine-tuning existing models. - Emphasis on practical application and not getting overwhelmed with too many resources. Made with HARPA AI

@scavenger188 3 місяці тому

is this your own ai work?

@Dylan.Fortin 2 місяці тому

I've been looking for a video like that for so long! Thanks you Tina 👌🏻

@MedHelp1217 27 днів тому

I've seen just a few videos of yours come across my feed. I have to say they were very helpful. I have a goal to learn AI using free resources and you give a great outline for people who want to learn. Thank you and keep the videos coming!

@alexanderhermes6408 4 місяці тому

Tina, you're a brilliant human being and DS. The best is yet to come. Happy 2024! Thanks!

@oziumentisis 3 місяці тому

This has got to be one of the best road maps I've watched yet... thank you for this, as an networking infrastructure guy, I'm ready to pivot before they come for my job...

@josepinzon1515 4 місяці тому

TYSM Tina, this was so well done!

@millionairesclub00 Місяць тому

Best video on ai so far on UKposts...now you got me interested in self learning ai and you just earn a subscriber.🎉❤

@skane3109 3 місяці тому

Super helpful roadmap for learning AI. Your teaching style is fun and amazing. Thanks! ❤

@georgeimus6102 4 місяці тому

First Video that actually makes sense to me thank you so much

@fishfish8879 4 місяці тому

“Prime numbers are what is left when you have taken all the patterns away. I think prime numbers are like life. They are very logical but you could never work out the rules, even if you spent all your time thinking about them.” ― Mark Haddon, The Curious Incident of the Dog in the Night-Time

@till6174 25 днів тому

Great, great video with so many actionable resources. Lots of notes taken. I also really appreciate the disclaimer at the end on not treating this vid like a to-do list of all the things we've got to learn. Soothes my perfectionist demon.

@acmaysnetworker 3 місяці тому

AWESOME details and breakdown, THANK YOU, YES some of use have ADD but are great IT engineers. learning a vast new tech is an uphill with a weights on, thanks

@LucienWhite-fb5qk 2 місяці тому

you had me at Rinnigan :D I love taking concepts from my fav stories and applying them to IRL concepts

@4everCEO Місяць тому

New sub here. This content is perfect for what I was looking for. Thanks so much, Tina 🙂

@isalutfi 4 місяці тому

Hi Tina, thank you for sharing. Keep up! ☕🍹

@TinaHuang1 4 місяці тому

Thank you!! :D

@MaxStudioCG2023 4 місяці тому

@@TinaHuang1 i will say on this video Happy New Year Tina .Love you!

@encanto6783 4 місяці тому

Thank you for giving us a starting point. Please do lot more videos on AI

@ambermtech 3 місяці тому

I love your videos. This was extremely helpful. Thank you!

@bavman2130 2 місяці тому

Thanks for the concise explanation and direction for getting started learning AI, really appreciate it.

@RodrigoSotoCastro Місяць тому

Thank you! I'm pretty sure I'll spend some time coming back to this video.

@RedSky8 4 місяці тому

Definitely interested in more AI/ python videos 💯

@raadahammad9153 4 місяці тому

I am planning to take machine learning next semester in college and I hope this is a helpful video.

@Sarahkozakj Місяць тому

Awesome. So helpful! Thanks Tina!

@urahara264 2 місяці тому

Great content Tina thank you for all your hard work and involvement to provide us such a clear vision of AI & DS 🎉🎉

@breatheinbreatheout1980 2 місяці тому

I was interested before but now thanks to you, I have a path. Thank you again.

@tstanfie87 3 місяці тому

This was dope. Great Job!

@bin4ry_d3struct0r 4 місяці тому

That scene where Jian Yang (not Jimmy) built a binary classifier (hot dog vs. not hot dog) but everyone else was expecting a multi-class classifier was absolutely hilarious. Don't forget he ended up selling his app for millions!

@david2358 3 місяці тому

Thank you, great video 🎉

@DiscoverHudsonValley 4 місяці тому

Awesome! I have learned a good portion of the recent ai and don’t have a short attention span but still loved this video 👍😎

@ShubhankarSharma-vr6zg Місяць тому

Will you please share what you learnt, i guess you deep dived into deep learning, genAI, LLM, langchain, stuff, pls share your experience, i wanna get my hands into it, what to do? I have basic mern experience...

@authentic_101 3 місяці тому

This method is really cool! Also the little baby model emoji! Love ittt! ❤❤❤

@michaelmcwhirter Місяць тому

Your videos are sweet. Thanks for this awesome content! It's very engaging and straight-forward.

@MeowMeow-fm8zl 12 днів тому

Definitely trying to learn AI thank you for your wonderful videos, please keep on making them ❤

@user-pl6dl8uc2l 2 місяці тому

Loved it. Please come up with such great videos

@phoenixastralis4 4 місяці тому

You're my favorite AI UKpostsr. Your pedagogy is unmatched.

@GuiltyNoticer 2 місяці тому

lol

@usamaabdulrehman6375 3 місяці тому

Thank you for wonderful video and book's recommendations

@alexb859 4 місяці тому

Awesome video!!!

@tishayat 2 місяці тому

Thank you Tinaaaa! Also you're glowing lol

@benlo11 4 місяці тому

Thank you!

@BestJerome 4 місяці тому

Thank you Tina. Learning AI seems doable now.

@Abblsdone 2 місяці тому

Thank You! You're great and I love your video!!!😊

@chinedumchima7709 Місяць тому

Great introductory video in the world of AI with great delivery also.

@meghashree7162 4 місяці тому

Your skin is so good! Can you share your skin care?? 🤩

@LazyX20 3 місяці тому

Thx Sis for info......... It will help me in my final year project...

@senseiotaku755 2 місяці тому

THANK YOUU👌 you literally carry me 😊

@merjenjumageldiyeva1201 3 місяці тому

I am sooo excited to try all these. 🤩🤩🤩

@michealkinney6205 3 місяці тому

You just described how I learn.. but I've always referred to it as the jump in head first method, lol. Thanks for putting a name to it!

@RossCabrera-rc9pe 20 днів тому

Whoa!!! You're really smart, I am really loving your videos

@wtfisustupid 2 місяці тому

Wow thank you so much for the resources!! Currently finishing up a DS bootcamp and was worried about how I can re-learn the stuff I didn’t fully understand with only the bootcamp material, so this is seriously perfect

@jangalang_jangalang617 3 місяці тому

Automate the boring stuff is an amazing book. Provides alot details while not having the reader become bored after few pages.

@myname-mz3lo 2 місяці тому

being able to study things that you find boring to read is a key skill for being a good student tbh

@boffy2648 2 місяці тому

@@myname-mz3lo True, but not the only way to go about it. I learn a lot more when my brain is more engaged with the things I'm learning. If I can learn the same things, but with more dopamine, I'm going to do it that way.

@flabbybum9562 3 місяці тому

I'm definitely going to give it a shot. I'm 60, but what the heck. You're videos are the best, because you take viewers by the hand, and guide them step-by-step on what they have to do, to get from clueless to competent.

@kkmehta6622 2 місяці тому

How interesting! Many musicians also start off by playing stuff they enjoy from original creators, and then start approaching music theory and diving deeper

@antochava 3 місяці тому

Wow this is pretty useful and clear, thanks!

@RandomHubbb Місяць тому

omg I love you! thanks for this!!!!

@prathyushaguduru8622 16 днів тому

realistic and detailed roadmap 🔥

@tatianajenkins7784 3 місяці тому

Thank you so much for this video! Yes, I would love to learn AI and I hope you can make more content related to AI and learning it. Thank you!

@jake9854 22 дні тому

but girls think AI is very hard tho

@tatianajenkins7784 22 дні тому

@@jake9854 I like a challenge. If you have interest in something and want to learn, hard won't stop you. I think if the girls you are referring to think it is too hard and lose motivation and desire to study it, AI was never their cup of tea. I am sure they will enjoy another subject.

@serenamaxwell 17 днів тому

Your videos are really encouraging and easy but I will like to learn more

@TheWhoremonger69 4 місяці тому

Thank you! My attention span is abysmal. Please keep the content coming. You are awesome!

@Ronny_G23 4 місяці тому

The editing was great in this video 🤌🏾

@karimjakobsen8914 3 місяці тому

To be honest, man. I have checked out sooo many videos, completed the machine learning/deep learning specializing on coursera. I am bad at math but have a basic understanding of some concepts (i am on 2nd year of a CS degree). But the thing that i really think there is missing - including on literally college courses, is putting things into practise. I think there are way, way way too much theory before you actually can get your hands dirty. I think it would be so nice to just have courses teach you how to implement these things instead of writing out endless equations. It exhausts me so much, because even though i learn some theoretical stuff then i don't even know what to remember or why. When i finally sit down to try and do something, i'm like "eh, what now?". If you just learn how to implement, say, a neural network to perform a task x amount of times so you could actually do it and see some results, then you can learn about the under the hood stuff as you go or after, so you can actually relate it to concrete situations.

@richardhu3774 3 місяці тому

that is not the purpose of a CS degree though. CS degree prepares students for the ability to do research and self-learn the applications. All those fancy models are built by equations, and you need to know that math to build the next generation of stable diffusion or large language models. If you don't understand the math, then there is not much that you can build for complex neural networks. Learning how to call APIs and apply pre-trained models can be learned on UKposts and that is not worth the tuition.

@txreal2 4 місяці тому

This is one HOT Tina modeling video about AI. Thanks

@ananautikas Місяць тому

Thanks a lot :-) this one was useful.

@drrains Місяць тому

This was awesome. Yes, more learn ai content. I'm an elementary teacher and I have to differentiate my lessons daily.

@Faisal1504 3 місяці тому

Very nice. Good information and resources thanks.

@dramaworld4u879 4 місяці тому

I like that you put difficult things much simple about learning AI .Hope you make more of them

@semangka4 Місяць тому

How do you learn bro?

@codec150 28 днів тому

Thank you very much for the information and I wanna learn AI please make more videos about AI

@leorodriguez518 Місяць тому

You’re so awesome thank you so much!

@joshuasouane1856 2 місяці тому

You are a gem, Tina

@nuntawatc5953 3 місяці тому

WoW the road map i create and do it myself is just like you. Except that i comment out some math that learn in U. Great tips!

@stillmattwest Місяць тому

Already a web dev but starting the Stanford Machine Learning Specialization on Monday. Been brushing up on Python for the last couple of weeks but it came back pretty fast. Let’s go!

@TheTechShortsChannel 4 місяці тому

I still remember watching your video where you created years ago doing Twitter Analysis of Leonardo di caprio case. Learned a ton of stuff from that one video than hours long video courses. Could you please make more such videos!? 🥺🙏

@fishfish8879 4 місяці тому

“We become aware of the void as we fill it.” ― Antonio Porchia

@purem4dn3ss 2 місяці тому

i lost it with the rinnegan method 😂😂😂 god, i love how you mix anime stuff with more serious content. thanks for doing it

@anthonyw2931 Місяць тому

i'm generally interested in a lot of things without being an expert in one thing. But you sold me on this. Also, your pathway is very interesting and never thought of it in that way. Your content is a gold.

@MrRoBot-wn4kp 4 місяці тому

Thank you

@Mwesi 2 місяці тому

I like the idea of excitement and satisfaction to motivate you.

@frankgreco 3 місяці тому

Appreciate the very good video. As a long-time educator, learning by successive refinement is a well-known teaching technique. I use it to teach IT concepts, advanced AI/ML, and even guitar. Most universities' curriculums are structured this way with "course levels". Btw, LLMs do not use CNNs. They use transformers.

@Discover54 Місяць тому

Thank you ❤

@Kane23333 Місяць тому

a strong sense of curiosity is all you need.

@owenknight6838 Місяць тому

Hi, great AI video. Very inspiring, Thanks

@saulolima6874 Місяць тому

Excelent Thank you!

@minkhantzaw38 3 місяці тому

Loved it all. Did you leave Kaggle out on purpose?

@Neo-zc1cb 2 місяці тому

Great video❤🎉

@user-gk7iq6if9q 15 днів тому

Thank YOU

@mcoronel64 28 днів тому

love it! thks

@fishfish8879 4 місяці тому

“Everything you can imagine is real.” ― Pablo Picasso

@a.g.4843 3 місяці тому

Hi there, i have a even better strategy. I start always with one of the outer rings of that rinnegan ring and just read a little to see what my final goals look and feel like. Then i deal with the more inner rings and do the same. And then i deal with the outer ring (your initial one) and handle that but also another one, since the first rings are often the most boring. I did that with learning french. I started with Level C1 (C2 being the hardest) and moved downward….😅

@LuminovaTechNexus 4 дні тому

Thanks for sharing the knowledge with us

@HunterMayer Місяць тому

Thank you for your breakdown. I keep being asked how and what AI is all the time. It helps to hear how others explain a complex and wide topic like this. I work in the weeds in code and have a hard time explaining things in Human. I saw the vectorizing of parameters like words in an LLM and was fascinated by this idea... Someone asked how can a vector describe if something is close... So I broke it down to a small set of coordinates (the simplest vector of 1) by using latitude on a world map. Shorter distances can be evaluated with simple math, and then add another parameter (Longitude) and now the 2 parameter model of Lat/Lon is born :D... Does that resonate with your definition? My non-math/non-gis friends occasionally have a hard time with that idea still... My AI battle cry is "BreadDogPig!"

@PabloIify 2 місяці тому

Thankjs, it was a helpful

@MikeM-uy6qp 6 днів тому

This is excellent.

@zorgoros 10 днів тому

I appreciate the knowledge and the experience you are spreading Tina. I got confused and lost in this field, I don't know where to start there is a lot to learn and a lot to consider. It gets overwhelming sometimes. My real question is what is the real starting point? I'm spending a huge amount of time learning different things and at the end, I see myself knowing nothing and cannot relate all the things I learned together, I know Im missing something but I really cannot understand what it is.