Thanks so much for this video! Ive been wanting to learn more about ML/AI but sometimes I feel like I’m “not smart enough” but this encourages me because you also go through this! ❤its inspiring! 💪🏼
Thanks Tiff for Sharing your knowledge and your learning of ML with us, and agree with some of the comments very overwhelming. Love the Channel and your Dedication, really really inspiring to learn.
Hey Tiffany . I’ve got a software company I’m building in Dubai . I was hoping to meet peeps in the space . I got a bunch of ml engineers - trying learn as the founder of our startup . You walk and talk like me - we are both searching for the right answers
NumPy should be pronounced "Num-PIE". You mentioned at one point in the video a desire to learn how computers work, well, if you really want to get a strong sense on how computers work, then you should learn to program in assembler. Pick a simple 8 bit processor like the 6502, 6809/6800, 8088 etc, and tonnes of emulators to choose from, like old DOS emulators, C64, Apple, etc. Lot's of videos and books etc that you can go through. There are also many courses and RU-vid videos that show you how to build simple computers and these videos are worth watching as well. Building a computer on your own is a great idea, but you don't have to go that far. The more you understand how the older 8 bit computers work, the stronger your understanding will be of the more complex computers of today will be. This will also help your understanding of AI as well. Thanks again for another great video!
Hi Tiff. I'm from Malaysia. I always turn on my subtitle when watching videos in RU-vid. And I suggest that you put any captions/quotes/sentence near left, right or above of your face, as they are usually blocked by the subtitle at the bottom of the video. I need to turn off the subtitle and rewind the video to read what you write in the video. Haha. It may attract more viewers.
Everything is out there, frameworks , libraries , etc. old school mathematicians or quants were geniuses which are the ones who built the stuff for data scientists to use out of the box.
Today I had listened your thoughts and had idea to touch top of your left ear(just come to mind), and after this appear question could it be counted like cutting edge technology on finger tips for learning ?)
Isn't numpy a contraction of number python? That might make it num-pie. We don't pronounce it pee-thon, at least I don't think we do. Hey I'm still trying to figure out why we say shed-yule but we don't send our kids to shoe-ill. English is a terrible language, no matter how many people speak it 😂. Anyhow, what type of path would you recommend towards learning AI and machine learning? I'm just starting the journey by learning python and soon to try Ruby. Is Python enough or should C, C++ and JavaScript be in there as well? What does most AI and ML run on? Would you say that once you learn one computer language, the next would be easier?
It is crucial to ask yourself the question, what do I know? What have I learnt? If the answer is zilch, ask for refund. If there is an answer, ask if there is a learning path?
