What is Machine Learning?

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  • เผยแพร่เมื่อ 30 ก.ย. 2024
  • Understand why high salaries are paid to Data scientists? How Machine Learning works and How to become a Data Scientist with a step by step approach. Look at the big picture where Machine Learning fits in the IT industry and how can you succeed in it!
    #machinelearning #datascience #statistics #artificialintelligence #coding #programming #itcompanies #ai
    Please see below the links for further study and practice.
    End to End case studies for ML practice
    thinkingneuron...
    Kaggle Datasets for ML practice
    www.kaggle.com...
    Introduction to Statistical Learning Book for great foundation in Machine Learning
    www.statlearni...
    Head First Statistics book for statistical concepts.
    commres.net/wik...
    Music from Uppbeat (free for Creators!):
    uppbeat.io/t/r...
    License code: AWNVUTSIHKXS5SAJ

ความคิดเห็น • 23

  • @mjawale12345
    @mjawale12345 หลายเดือนก่อน +1

    Can we have a series of DS or ML roadmap? I'm confuse bcz they overlap.
    Wait r u @indiainpixels ?

    • @thinking_neuron
      @thinking_neuron  หลายเดือนก่อน

      Sure, look at this video to understand the difference and overlap between ML and DS!
      th-cam.com/video/-89CnfPCMtQ/w-d-xo.html
      and no I am not indiainpixels! :)

  • @Gurureddy777
    @Gurureddy777 หลายเดือนก่อน +1

    You deserve more views, thankyou bro.

    • @thinking_neuron
      @thinking_neuron  หลายเดือนก่อน +1

      Thank you Guru! Keep sharing with friends! 😃

  • @aracreatives5550
    @aracreatives5550 หลายเดือนก่อน

    🫡Hats off Sir.. You're the most valuable I've ever seen in my life.. The concepts explanation from scratch is god damn... It's precise & not deviating the content.. I'm very much impressed on your sharable knowledge in Machine learning ❤️❤️ Keep up the great work Sir..
    Love from India 🫶

    • @thinking_neuron
      @thinking_neuron  หลายเดือนก่อน

      Wow! I am very happy and glad to see that these videos are helping you.
      Thank you so much for your kind words, this encourages me a lot!
      Cheers! 😊

  • @BROKENGAMER-nh6cd
    @BROKENGAMER-nh6cd หลายเดือนก่อน

    Just clicked on your video thinking another clikbait video . But I have to admit you proved me wrong. Hoping for more valuable content like this from you in future.

    • @thinking_neuron
      @thinking_neuron  หลายเดือนก่อน

      I am glad you liked this one! Thank you for taking time to provide feedback! Sure, I will work harder and create more useful videos. Cheers!

  • @ayushdwivediyt
    @ayushdwivediyt หลายเดือนก่อน +2

    great video

  • @dhanushgoud6134
    @dhanushgoud6134 หลายเดือนก่อน

    grate work

  • @techinfo89
    @techinfo89 หลายเดือนก่อน +1

    😍

  • @yebaatkuchhazamnahihui2452
    @yebaatkuchhazamnahihui2452 หลายเดือนก่อน +1

    Nice work

    • @thinking_neuron
      @thinking_neuron  หลายเดือนก่อน

      Thank you for the appreciation!

  • @sougaaat
    @sougaaat หลายเดือนก่อน

    nice to see you back.

  • @AGenerationthatFearsGod
    @AGenerationthatFearsGod หลายเดือนก่อน

    I am glad you are posting again, your videos deserve much more.

    • @thinking_neuron
      @thinking_neuron  หลายเดือนก่อน

      Thank you for the encouragement! :)

  • @ahmedown8200
    @ahmedown8200 หลายเดือนก่อน

    Thank you

  • @augmentos
    @augmentos หลายเดือนก่อน

    nice one

  • @scholasticperspective3917
    @scholasticperspective3917 หลายเดือนก่อน

    Very good explanation. But I would say one thing is missing here. There is a subtle difference between a data scientist and a machine learning engineer. Data scientists mostly deal with the business data and ML engineers work in the process of building a product based on machine learning. It is true that there are lot of similarities between the task of a data scientist and a machine learning engineer. A data scientist can also create products and ML engineers can also work in the business domain. But still these are just possibilities. These are not specifications. Beginners often feel so much confused between these two things. And many of them started to think that two are similar. In current job market, the requirements of a data scientist and ML engineer are quite different. ML engineers need lot of software engineering skills along with machine learning skills. ML engineers are just a special kind of software engineers.

    • @thinking_neuron
      @thinking_neuron  หลายเดือนก่อน

      Your observation is bang on!
      A data scientist holds knowledge regarding the domain along with ML algorithms and their applications. They need not be domain experts but should understand the basics of the industry like CPG, Healthcare, Insurance etc. depending on whatever project they are working on.
      Typically, that happens when you have gained some experience working as a ML engineer under the guidance of senior Data Scientists in the project.
      This is actually a separate topic in itself and I have covered it in the below video!
      th-cam.com/video/-89CnfPCMtQ/w-d-xo.htmlsi=KoxCS11MUIImgwIZ
      Thank you for the feedback!
      Cheers!