These courses give you an unfair advantage

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  • เผยแพร่เมื่อ 28 พ.ย. 2024

ความคิดเห็น • 26

  • @gptLearningHub
    @gptLearningHub  5 วันที่ผ่านมา

    My Resources:
    Math Review For ML: th-cam.com/video/OYJhBjnLp0I/w-d-xo.html
    How ML Models Learn: th-cam.com/video/bbYdqd6wemI/w-d-xo.html
    Linear Regression Explained: th-cam.com/video/2vE3DqWdEXo/w-d-xo.html
    Neural Networks Explained: th-cam.com/video/xZcOTAJ-h6w/w-d-xo.html
    First-Principles Framework (Learn Fundamentals): www.gptlearninghub.ai/first-principles-framework
    Beginner's Blueprint (Build Projects): www.gptlearninghub.ai/beginner-blueprint

  • @AbcTawte
    @AbcTawte 6 วันที่ผ่านมา +14

    I personally found buying a 20$ Claude pro subscription and than asking it for a detailed roadmap for whatever I want to learn and than generate detailed notes for each of the module with code is the best strategy to learn today. Trust me no course can give as detailed notes and code as these llm models ( I particularly found Claude to be the best recently) , best part is you can prompt it to simply concepts as much as you want.

    • @johnmarkdotdev
      @johnmarkdotdev 5 วันที่ผ่านมา

      Not to mention that they can also answer any question that you want to ask regarding the topic and they can explain it with an analogy, plus they wont judge you 😂

    • @2dapoint424
      @2dapoint424 5 วันที่ผ่านมา

      Do you need the $20 subscription? Can you not do this with the free version?

    • @gptLearningHub
      @gptLearningHub  5 วันที่ผ่านมา +1

      LLMs are definitely great study-buddies. Thanks for sharing!

    • @tahir-iqbal1
      @tahir-iqbal1 4 วันที่ผ่านมา

      The same way I followed up and asked gpt 4.0 to create a roadmap for me, on the way now 🔥

  • @cD_Ai4
    @cD_Ai4 4 วันที่ผ่านมา +2

    I like learning through books, and I found some great resources ( Python For Data Analysis by Wes McKinsey, Math For ML by Deisenroth; I'm thinking of pairing Andrew Ng's specialisation with Hands On Machine Learning by Aurélein Géron). But I also have the same problem, it takes me more time than what I think I should be investing, like around 1-3 chapters in 2-3 hours based on the length and complexity of the material. It might not seem like much, but I'm studying and preparing for another 4-5 topics rn, so I have little left for it, and I have to practice those concepts by applying them too. But I guess nothing will come out of worrying about it, I'll just have to build my speed over time.

  • @harshsinha12
    @harshsinha12 5 วันที่ผ่านมา +2

    Krish Naik 🐐

  • @Maxim_Kulakov
    @Maxim_Kulakov 6 วันที่ผ่านมา +4

    Do you know about Jeremy Howard?

    • @gptLearningHub
      @gptLearningHub  5 วันที่ผ่านมา +1

      Yup, I am familiar with him. He has a ton of great resources too!

  • @tahir-iqbal1
    @tahir-iqbal1 4 วันที่ผ่านมา +1

    I have found the best fundamental concepts in Machine Learning Specialization (Coursera by Andrew Ng)

  • @jortor2932
    @jortor2932 6 วันที่ผ่านมา

    Maching learning or any thing or programming it can be anything

  • @The-Enigma-Vault-1
    @The-Enigma-Vault-1 4 วันที่ผ่านมา

    I'm a beginner in machine learning so which projects should I do to get jobs.

  • @ercanholasoglu8132
    @ercanholasoglu8132 6 วันที่ผ่านมา

    Hi. I wanna learn basics about NLP between Neural Networks and Transformers architecture, for example tokenization, embeddings, RNN's etc. What do you recommend? Book, course (Coursera NLP spec. etc) or something else? Thanks

    • @gptLearningHub
      @gptLearningHub  5 วันที่ผ่านมา +1

      Karpathy's channel is great for this!
      I've also created a bunch of free TH-cam videos on NLP concepts like tokenization, embeddings, RNNs, Transformers and more.
      Check out this playlist: th-cam.com/play/PLf2BgkdQjMYvjsg0DMlMPspibTX6errDc.html&si=kMw4jZ8B9nG1qKG2

  • @Sniper_is_Sniping
    @Sniper_is_Sniping 6 วันที่ผ่านมา

    I am in 7th grade and I know the basics of Python and I have built some projects now I am switching to java and then c++ but how am I supposed to understand college level math and how can I still learn without needing extremely high level math till I catch up

    • @dub161
      @dub161 5 วันที่ผ่านมา

      Wow its great you are so young.
      The thing is ML is built on mathematics. Its all mathematics in the end.
      I tell you one thing, my friend is doing masters from top CS schools in my country, and they have rule that you can't take any ML course even if you are CS/AI graduate unless you are done with Linear Algebra, Vector Calculus and Random Process math courses.
      So, highly suggest you to make Math(language of the universe) as you first love and take part in IMO and IOI selection process in your country and follow your ML passion side by side bit by bit.

    • @gptLearningHub
      @gptLearningHub  5 วันที่ผ่านมา

      Congratulations on getting such a head start! No worries if you're not at college level math yet, just take your time and trust the process, getting 1% better every day.

    • @cD_Ai4
      @cD_Ai4 4 วันที่ผ่านมา

      You can try Khan Academy videos, they have short, easy to understand explanations on most topics ( without going too deep into them).

  • @SuccessVstheworld
    @SuccessVstheworld 5 วันที่ผ่านมา

    What about Datacamp?

    • @gptLearningHub
      @gptLearningHub  5 วันที่ผ่านมา

      Haven't tried Datacamp - hopefully someone else can chime in!

  • @ifyugwumba8120
    @ifyugwumba8120 5 วันที่ผ่านมา

    What about datacamp

    • @gptLearningHub
      @gptLearningHub  5 วันที่ผ่านมา

      Haven't tried it - hoping someone else can weigh in on this!

  • @nehushtant
    @nehushtant 6 วันที่ผ่านมา

    Udemy 🔥

    • @gptLearningHub
      @gptLearningHub  5 วันที่ผ่านมา +1

      Which Udemy courses have you enjoyed?