Importance of MLops in machine learning | Introduction to MLOps | MLOps Tutorial for Begineers

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  • Опубліковано 20 жов 2024

КОМЕНТАРІ • 38

  • @preranatiwary7690
    @preranatiwary7690 3 роки тому +1

    Thanks for sharing 👍

  • @Kumarsashi-qy8xh
    @Kumarsashi-qy8xh 2 роки тому

    Sir your idea of explaining components is very nice..

  • @AnilKumar-im2ur
    @AnilKumar-im2ur 3 роки тому +6

    Hi Aman,
    Very nice explanation,can you please do one more playlist for MLOPS.
    It will useful for many of your subscribers including me...Thanks in advance...

  • @aayushit1513
    @aayushit1513 2 роки тому +2

    Your videos are amazingly easy to understand and really helpful. Can you pleasee do a series on MLOPs using GCP. Cannot find any good content to learn this from scratch.

    • @UnfoldDataScience
      @UnfoldDataScience  2 роки тому +1

      Thanks Ayushi. I will take your request in my to do list

  • @sidrahms7458
    @sidrahms7458 3 роки тому +2

    Please add flowcharts or graphic representation for the explanation as well, great content thanks

  • @RevanthNimmagadda
    @RevanthNimmagadda 15 днів тому

    aman , can you make full tutorial on MLOPs

  • @gauravkamble9702
    @gauravkamble9702 3 роки тому

    A much needed video 😍
    Thanks for sharing this Sir 😊

  • @rajamuthuraman8024
    @rajamuthuraman8024 3 роки тому +1

    Kindly create more videos on mlops components 🙏😊

  • @himanshujoshi5918
    @himanshujoshi5918 3 роки тому +2

    Hi Sir,
    Very well explained. Can you pls create a MLOps playlist for Data Scientist.
    As you explained there are so many components. This would be if great help to Data Science community.
    Docker, Kubernities implementation and other MLops components implementation would be really great.
    Greatful to you for all your teachings

  • @billinioreteachings
    @billinioreteachings 3 роки тому

    Your explanation is so well by the way 👏

  • @basavarajbijali7342
    @basavarajbijali7342 3 роки тому

    Very clear explanation, please share resources for mlops, or it's better you to upload videos on the mlops as new playlist, your explanation is very crystal clear

  • @billinioreteachings
    @billinioreteachings 3 роки тому

    Hiii Aman sir I'm starting my journey in data science and this mlops looks really fascinating and it's use and need appears to be never ending so please make a guidance vedio on how to get in that stearm as a data science learner

  • @kiranpol1601
    @kiranpol1601 3 роки тому +1

    Short and swift

  • @VijayKumar-pd8mu
    @VijayKumar-pd8mu 3 роки тому

    Hi Aman,
    I like your videos and you will explain complex topics into very easy understandable format. I have a following query?
    for a data scientist required to know big data technologies,right
    can you please explain upto what extent data scientist require to know knowledge on big data technologies and what are those tools( HIVE,Hadoop etc...)

    • @UnfoldDataScience
      @UnfoldDataScience  3 роки тому

      Hi Vijay, Now a days companies are looking for full stack data science roles, so kindly have knowledge in Big data as well, more the better.

  • @sanyamsingh4907
    @sanyamsingh4907 3 роки тому

    Hi aman can you please make a video on differentuse cases in fund management industry

  • @ayushtailor9941
    @ayushtailor9941 2 роки тому

    create full playlist and suggest resource plz.

  • @manjeshkumarn1178
    @manjeshkumarn1178 3 роки тому +1

    please share the mlops resources.

  • @vanshshah7781
    @vanshshah7781 10 місяців тому

    MLOps series

  • @balajikomma541
    @balajikomma541 3 роки тому

    Please make a tutorial for ml ops

  • @user-xw2nv1pk2v
    @user-xw2nv1pk2v 3 роки тому

    Hello sir. I have been following your videos since one month. It is quite interesting and informative. Can I have your email I'd sir. Recently I have got job as data scientist by watching your videos. I need your help in job sir.

    • @UnfoldDataScience
      @UnfoldDataScience  3 роки тому

      That is the most satisfying thing I can hear, cheers for your success. Please connect on LinkedIn.