How to learn machine learning without math (2024) | ML Starter Pack

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  • Опубликовано: 29 окт 2024

Комментарии • 20

  • @kandoHunter69
    @kandoHunter69 3 месяца назад +2

    Nice Video brother. As Someone who has been doing WebD + DSA (for fun)+ML. My daily schedule itself is very taxing.At first ,I thought im overloading my brain with too much knowledge .But after being in this journey for more than 6 month and taking every thing slow and consistent ,everything is getting sorted out.

    • @PhongGT
      @PhongGT  3 месяца назад

      that's great to hear man, it's been a wild ride trying to self learn and I've been seeing more and more people like me

  • @syedhammadshah5591
    @syedhammadshah5591 3 месяца назад +1

    You deserve a sub bro

    • @PhongGT
      @PhongGT  3 месяца назад

      thanks man, that means a lot

  • @dharsha-g8v
    @dharsha-g8v 3 месяца назад +1

    It's the right time for me to learn from this guy ,do post daily bruh going to learn from you ??

    • @PhongGT
      @PhongGT  3 месяца назад

      I'll do daily shorts but the long vids probably once a week

    • @dharsha-g8v
      @dharsha-g8v 3 месяца назад

      @@PhongGT dude where can I contact you in personal I mean am willing to put in the work daily ,I need a little push or guide ,I can do as you say, i hardly need this am in undergrad too.

  • @swankyshivy
    @swankyshivy 2 месяца назад +1

    I have a general question on the topic. lets say I want to implement a ML model at my work. lets say its predictivive analysis just like this tutorial where given a dataset want to predict at some level of confidence a hypothesis. i would like to know if you can do a video or if its simple enough respond here on the architecture needed to make this happen. is it money will have to be spent on licenses, large scale architecture etc. I need to know before i pitch it to the bosses and continue on my learning journey. thanks in advance

    • @PhongGT
      @PhongGT  2 месяца назад +1

      You'll need to start with the data:
      - Do you have the data?
      - If you do, how much data do you have? The more data, the more potential to be accurate, but also more expensive to train since it will need to go through more data
      - If you don't, how will you get the data? That's when you can answer your licensing and $$$ questions
      - Is it a simple target you're trying to predict? If so you can easily train on a local machine and save the model, if not you could use Google Vertex AI to train, or some other cloud provider that offers a GPU (or just use a CPU if it's a simple enough model).
      The way I pitched to my bosses was to first get a quick understanding of ML through these competitions, and then trained a local model with existing project data as a POC, then demo'd it to my bosses to say "we can improve this one KPI like this, here's the preliminary results that we can keep pushing even further if we put effort into this".
      You don't need to know everything that's happening under the hood, but you should probably come prepared with how ML can make an impact vs. the efforts involved.

    • @swankyshivy
      @swankyshivy 2 месяца назад

      ​@@PhongGTi have access to the transactional data. i can take that and clean it etc. does a model take up lot of storage to be done locally? if they are not comfortable with putting data on cloud what will be on prem options? thats what im trying to figure out

    • @PhongGT
      @PhongGT  2 месяца назад

      ​@@swankyshivy for transactional data, if you can extract some sort of concrete couple of structured columns and a target column, you can probably train locally or through google colab
      just drop a csv file after you've figured out how you want your dataset to be, then train with it.
      models aren't going to be too big at this stage, so you can save it locally as well and save to to whatever on prem machine you got
      or you can build an on prem training machine, you really only need a modern CPU and a training framework (tf or pytorch) and save it on the same machine
      try out one of the kaggle competitions and you'll kind of get an idea the size of everything and all the basic components to train

    • @swankyshivy
      @swankyshivy 2 месяца назад +1

      ​@@PhongGToki great. ill do that and im also following along your playlist. patiently waiting on the next video lol thanks a mil

    • @PhongGT
      @PhongGT  2 месяца назад

      @@swankyshivy np let me know if you have any further questions or you want me to cover something in more detail in a vid

  • @just_exist_ezz
    @just_exist_ezz 3 месяца назад +1

    thankyou will try this I was trying to learn ml

    • @PhongGT
      @PhongGT  3 месяца назад

      I hope to share as much as I can

  • @abhishekmathur7947
    @abhishekmathur7947 2 месяца назад

    Am I doing right to learn both Web Dev and ML together??

    • @PhongGT
      @PhongGT  2 месяца назад +1

      learning both is great but I suggest you learn one to a good proficiency before learning the other

    • @abhishekmathur7947
      @abhishekmathur7947 2 месяца назад

      @@PhongGT thanks for your advice ☺️