Name: Machine Learning: Make Your own Recommender System: 3 (Machine Learning From Scratch) (en Inglés)
Price: 22000.00 CLP
Availability: InStock
Author: Theobald, Oliver
ISBN: 9781726769037

portada Machine Learning: Make Your own Recommender System: 3 (Machine Learning From Scratch) (en Inglés)

Formato

Libro Físico

Autor

Oliver Theobald

Editorial

Independently Published

Año

2018

Idioma

Inglés

N° páginas

127

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.8 cm

Peso

0.20 kg.

ISBN13

9781726769037

Categorías

Reconocimiento de formas
Visión por ordenador

Machine Learning: Make Your own Recommender System: 3 (Machine Learning From Scratch) (en Inglés)

Oliver Theobald (Autor) · Independently Published · Tapa Blanda

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$ 22.000

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Ahorras: $ 14.660

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

Se enviará desde nuestra bodega entre el Lunes 27 de Mayo y el Jueves 06 de Junio.

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Reseña del libro "Machine Learning: Make Your own Recommender System: 3 (Machine Learning From Scratch) (en Inglés)"

Learn How to Make Your Own Recommender System in an Afternoon.Recommender systems are one of the most visible applications of machine learning and their uncanny ability to convert our unspoken actions into items we like is both addicting and concerning. Recommender systems, though, are here to stay and for anyone beginning their journey in data science, this is a lucrative space for future employment.This book will get you up and running with the basics as well as the steps to coding your own recommender system using Python. Exercises include predicting book recommendations, relevant house properties for online marketing purposes, and whether a user will click on an ad campaign. Who is the Book For?The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.Topics covered in this book: - How to set up a free and easy sandbox environment using Jupyter Notebook- How to prepare your data for processing- How to code a collaborative filtering model- How to code a content-based filtering model- How recommender systems are evaluated - What you need to know about privacy and ethics- What the future of Recommender Systems might look like