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    Détails du Torrent Pour "Udemy - Hands-On Machine Learning (incl Deep Learning) with R"

    Udemy - Hands-On Machine Learning (incl Deep Learning) with R

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    Terminé: 5 
    Dernière vérification: 13-05-2021 03:33:09

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    Details
    _NAME_:Udemy - Hands-On Machine Learning (incl Deep Learning) with R
    Description:


    Description

    Did you ever wonder how machines “learn” – in this course you will find out.

    We will cover all fields of Machine Learning: regression and classification techniques, clustering, association rules, reinforcement learning, and, finally, Deep Learning.

    For each field, different algorithms are shown in detail: their core concepts are presented in 101 sessions. Here, you will understand how the algorithm works. Then we implement it together in lab sessions. We develop code, before I encourage you to work on exercise on your own, before you watch my solution examples. With this knowledge you can clearly identify a problem at hand and develop a plan of attack to solve it.

    You will understand the advantages and disadvantages of different models and when to use which one. Furthermore, you will know how to take your knowledge into the real world.

    You will get access to an interactive learning platform that will help you to understand the concepts much better.

    In this course code will never come out of thin air via copy/paste. We will develop every important line of code together and I will tell you why and how we implement it.

    Take a look at some sample lectures. Or visit some of my interactive learning boards. Furthermore, there is a 30 day money back warranty, so there is no risk for you taking the course right now. Don’t wait. See you in the course.
    Who this course is for:

       R beginners and professionals with interest in Machine Learning

    Requirements

       Basic R Programming knowledge

    Last updated 1/2019
    YouTube Video:
    Catégorie:Tutorials
    Langue :English  English
    Taille totale:5.15 GB
    Info Hash:A32D0D2593726F853664755995C4ECC2ACD8D628
    Ajouté par:tutsgalaxy Verified Uploader
    Date:2019-02-03 03:15:00
    Statut Torrent:Torrent Verified


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