Name: Python: This Book Includes: The Guide for Beginners, Machine Learning (en Inglés)
Price: 30080.00 CLP
Availability: InStock
Author: Learning, Josh Hugh
ISBN: 9781673217094

portada Python: This Book Includes: The Guide for Beginners, Machine Learning (en Inglés)

Formato

Libro Físico

Autor

Josh Hugh Learning

Editorial

Independently Published

Idioma

Inglés

N° páginas

318

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 1.7 cm

Peso

0.43 kg.

ISBN13

9781673217094

Categorías

Redes neuronales y sistemas difusos

Python: This Book Includes: The Guide for Beginners, Machine Learning (en Inglés)

Josh Hugh Learning (Autor) · Independently Published · Tapa Blanda

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$ 30.080

$ 41.780

Ahorras: $ 11.700

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 02 de Agosto y el Miércoles 14 de Agosto.

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Reseña del libro "Python: This Book Includes: The Guide for Beginners, Machine Learning (en Inglés)"

If you are a Beginner Who Wants to Know the Basics of Python Programming and the Best Machine Learning Algorithms > > > just keep reading > > > Would you like to program apps, games, softwares and much more but don't know how ?Do you see all those Machine Learning Algorithms but getting nowhere? Don't give up hope!This bundle gives you the oportunity to learn in a simple way the tools to handle your own data with the right algorithm.You will discover both Python programming and Machine Learning which, combined, will give you the ability to create some of the best data analysis that you need.Even if you have never used this programs before, with this guidebooks you will be able to do that in no time at all.2 books in 1In Python for Beginners You Will Learn: The Python languageData and variablesControl flow toolsThe filesA look at the classesCreating your own modulesThe regular expressionsNetworkingThe process of multithreadingThe way to access databases with PythonHow GUI programming worksIn Python Machine Learning You Will Learn: The basics of machine learning and why it is so important to learn.The importance of data and how to use these in machine learning.Some of the supervised learning algorithms that work with regressions.How to work with regularization and avoid the issue of overfitting.Some of the best-supervised learning algorithms of classification.How to work with non-linear classification models.The different validation and optimization techniques that you can use to make sure your algorithms respond the way that you want them to.Moving on to some unsupervised machine learning that we can use, and the best clustering algorithms along the way.A look at the Principal Component Analysis and the Linear Discriminant Analysis and how they compare to one another.All you have to do now is scroll the top of the page and select the BUY NOW button to start your journey !