Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction - E-book - ePub

Edition en anglais

Note moyenne 
 Tristan Luminous - Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction.
200+ pages of valuable content! Machines can LEARN?!?!  Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.... Lire la suite
2,99 € E-book - ePub
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Résumé

200+ pages of valuable content! Machines can LEARN?!?!  Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures. Whether you're a novice, intermediate or expert this book will teach you  all  the ins, outs and everything you need to know about machine learning. Note: Bonus chapters included inside!Instead of spending hundreds or even thousands of dollars on courses/materials why not read this book instead? Its a worthwhile read and the most valuable investment you.
Whether you're a novice, intermediate or expert this book will teach you  all  the ins, outs and everything you need to know about machine learning. Note: Bonus chapters included inside!What You'll LearnSupervised Learning-Unsupervised Learning- Reinforced Learning-Algorithms-Decision Tree-Random Forest-Neural Networks-Python -Deep Learning This is the most comprehensive and easy to read step by step guide in machine learning that  exists.
Learn from one of the most reliable programmers alive and expert in the field. You do not want to miss out on this incredible offer!

Caractéristiques

  • Date de parution
    22/12/2017
  • Editeur
  • ISBN
    978-1-386-53302-3
  • EAN
    9781386533023
  • Format
    ePub
  • Caractéristiques du format ePub
    • Protection num.
      pas de protection

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