7 best machine learning books in 2022

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  • Опубліковано 16 лис 2024

КОМЕНТАРІ • 35

  • @深夜酒吧
    @深夜酒吧 2 роки тому +1

    After read all those books, now I am very confident to talk to anyone who do not work on ml/dl, they all belive I am real ml/dl expert! thanks for sharing

  • @parvejmosharaf726
    @parvejmosharaf726 2 роки тому +11

    Those books are pretty handy for anyone who would love to explore about AI (ML, DL). Could you suggest some books for image processing, more especially medical image processing?

    • @farshidghafarzadeh3759
      @farshidghafarzadeh3759 2 роки тому +1

      He mentioned that he couldn't find good books. so, he suggested for learning image processing look at his channel.

  • @yifeipei5484
    @yifeipei5484 2 роки тому +4

    Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow This book is best.

    • @AI-gt3ei
      @AI-gt3ei 2 роки тому +1

      After completing this book, any suggestions?

    • @matattz
      @matattz Рік тому

      @@AI-gt3ei try An Introduction to Statistical Learning with applcations in Python.

  • @ramesh-dk9nr
    @ramesh-dk9nr 2 роки тому +3

    Wondering why no one mentioned Aurelien's Hands on Machine Learning with ScikitLearn and Keras and Tensorflow, read about it as one of the best books from other sources. Thinking to buy a medium level ML book, is this okay to buy, or choose what suits me within this list?

  • @MeganHeath52
    @MeganHeath52 2 роки тому

    Happy Christmas 🎄 your videos have got me to the end of my MSc this year ! Thank you for all the work you do :)

  • @TuTu_Investing
    @TuTu_Investing 2 роки тому +3

    Thanks a lot sir, your channel is priceless and thanks for all the educational content!

  • @Bwajster
    @Bwajster 4 місяці тому

    Hello, I wish to dive into the world of DL, I'm a beginner, I plan on getting Deep Learning by Ian Goodfellow and Deep Learning with Python by Francois Chollet as first books to dive into DL. Are these books still relevant and the best options to get started with?
    Please revert. :)

  • @0Fallen0
    @0Fallen0 2 роки тому +2

    What are your Thoughts of Machine Learning - A Probabilistic Perspective ; by Kelvin Murphy? Also I want to get started with some books on ML, I have Lin. Algebra, Single & Multivariate Calc along with differential equations knowledge on an Undergrad Engineering Program level. I'm afraid I dont have much knowledge on Probability and Stats. I want to know what books to read and in what sequence. Including books to fill gaps in math knowledge, Stats and Prob basics to Advanced and ML basics to Advanced in a pure Mathematical view. It would be really helpful if you reply. Thanks.

    • @justinletwinsky
      @justinletwinsky Рік тому +1

      Introduction to Probability for Data Science by Stanley Chan is one of the best covering everything you need to know in regards to probs/stats for Machine Learning. Well written and easy to follow.

  • @gauravmalik3911
    @gauravmalik3911 2 роки тому

    Which playlist to start with for computer vision on your channel?

  • @madhank7598
    @madhank7598 2 роки тому

    Thank you for sharing this.
    Any recommendations on Reinforcement learning?

  • @gustavomaia2252
    @gustavomaia2252 Рік тому

    Hi, could you suggest a book focused on nlp? there's a lot of them kkk

  • @moisesdesouzafeitosa3364
    @moisesdesouzafeitosa3364 2 роки тому

    Thank you, Mr. Sreeni. I wish you a happy Christmas

  • @caiyu538
    @caiyu538 2 роки тому

    Thank you so much. Your videos are more easy to follow for me.

  • @rameshwarsingh5859
    @rameshwarsingh5859 2 роки тому

    Sreeni sir , will you suggest me best opensource tool for annotating data for computer vision/ Segmentation problems

  • @playniuniu
    @playniuniu 2 роки тому

    Thanks very much for your recommendation

  • @satendragiri1858
    @satendragiri1858 Рік тому

    Very good information about AI books, thank you very much.

  • @mario-vy6iw
    @mario-vy6iw Рік тому

    Thanks

  • @samjut3718
    @samjut3718 2 роки тому

    Thank you, my teacher.

  • @ashutoshbarkule3573
    @ashutoshbarkule3573 2 роки тому

    Hello sir, Can you make video on "How to become expert in computer vision (beginner to advanced)."

  • @mohankrishnapotnuru
    @mohankrishnapotnuru 2 роки тому

    Thank you sir .. happy Christmas

  • @livan3li08
    @livan3li08 2 роки тому

    thank you so much for sharing your knowledge with us sir. Explanations was very helpfull for choosing right book.

  • @ayaalsalihi6001
    @ayaalsalihi6001 2 роки тому

    thankyou so much for all the work you do, you save our lives, your videos are my guidlines towards ML, i have one question about (vgg feature extraction,XGBoost classification model, I use breast cancer images, when fit the model, the layers are incompatible, itried to solve this by using suggestions from the internet, but was not solved so far, could you please help me to resolve this issue, I really hope that you will see my comment.

  • @ameerazam3269
    @ameerazam3269 2 роки тому

    Thank you Sir

  • @johnnysmith6876
    @johnnysmith6876 2 роки тому

    Thank you prof!

  • @kainatshah5441
    @kainatshah5441 2 роки тому

    sir plz can you make a video on corona virus detection using deep learning approach using restricted boltzmann machine . there is no video of image classification using deep learning by restricted boltzmann machine.

  • @monikasingh29
    @monikasingh29 2 роки тому

    Can you provide the e-book of the basic ML book

    • @chetankumar9463
      @chetankumar9463 2 роки тому +1

      Search by the name, bass last me free pdf download lga dena.

  • @Hintinfo
    @Hintinfo 2 роки тому +1

    Can you provide pdf

    • @DigitalSreeni
      @DigitalSreeni  2 роки тому +1

      pdf of the books? I don’t have them, it is illegal to share even if I had them and I think it is worth investing in books. I hope you can find affordable versions of these books in your local market.

  • @Nkraka
    @Nkraka 2 роки тому

    Thank you so much sir for the work and videos you've been putting up.
    I will really like to speak with you 1:1