[eBook] Free - Machine Learning for Absolute Beginners: A Plain English Introduction (3rd Edition) @ Amazon AU/US

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Taegukgi on 21/12/2021 - 21:44 amazon.com.au (4560 clicks)

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This popular ebook has now been updated to a third edition.

This new edition features extended chapters with quizzes, free supplementary online video tutorials for coding models in Python, and downloadable resources not included in the Second Edition.

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• 

  jv on 21/12/2021 - 21:52

  +1

  What kind of machines?

  • 

    00 on 21/12/2021 - 22:02

    +6

    rage against the machine jv

    • 

      jv on 21/12/2021 - 22:04

      +1

      https://www.youtube.com/watch?v=yO4QDge_uz0

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  sevendollarsfifty on 21/12/2021 - 22:21

  +7

  This book pops up a lot here and i'll upvote it every time. This machine learning book is legit excellent. I recently finished a Data Engineering course at uni and this book is basically a better taught version (a little less depth) of my data mining subject. And a hell of a lot cheaper.

  • 

    DarthPyro on 21/12/2021 - 23:57

    +2

    i cant see your green +

    • 

      SF3 on 22/12/2021 - 00:04

      Not machine learnt yet.

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  Jeffie on 21/12/2021 - 22:29

  +1

  Always said I won't ever read/need it but this time I bit the bullet. Hopefully I don't regret my impulsive purchase!

• 

  Devyyn3 on 21/12/2021 - 22:51

  Thanks OP

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  philmarcracken on 21/12/2021 - 22:52

  seen people do some crazy things with these.. the new cheats that are coming out for FPS games, while detestable, are ingenious. They run a capture card, grab the output and feed it into ML, then the ML will send inputs into the mouse on what it saw.

  Nothing is run locally that way, so human review or votekicking is basically required.

  • 

    WT on 22/12/2021 - 07:29

    what is ML?

    • 

      FreeMike on 22/12/2021 - 08:18

      +2

      Big subject but I'll have a go at a simple answer.

      One branch of Machine Learning involves using data with known outcomes to train a model to predict unknown outcomes.

      So for example if you have a set of data about historical orphan adoptions in Brazil (eg age, income, religion, socioeconomic, etc etc) and which resulted in a successful/unsuccessful match of parents and children you can produce a model which can accurately predict the chances of success for any two given parties. You don't need to know which factors have the biggest influence.

      The above is a real example of a successful ML implementation.

• 

  Pie21 on 22/12/2021 - 06:49

  Also on Amazon UK.

• 

  Rayzorback on 22/12/2021 - 08:24

  +1

  This will come in handy for when the machines attack and send out Terminators

  • 

    Andysjunks on 22/12/2021 - 10:11

    +1

    Like the zombie survival guide to ML

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  Weirdish on 22/12/2021 - 14:38

  +1

  Any way to make use of this without a Kindle?

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  heineken016 on 23/12/2021 - 08:42

  Expired unfortunately