Name: Hands-On Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python (en Inglés)
Price: 45740.00 CLP
Availability: InStock
Author: Paper, David
ISBN: 9781484253724

portada Hands-On Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python (en Inglés)

Formato

Libro Físico

Autor

David Paper

Editorial

Apress

Idioma

Inglés

N° páginas

242

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 x 1.4 cm

Peso

0.45 kg.

ISBN13

9781484253724

Categorías

Lenguajes de programación scripting
Bases de datos
Inteligencia artificial

Hands-On Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python (en Inglés)

David Paper (Autor) · Apress · Tapa Blanda

Libro Físico

$ 45.740

$ 91.480

Ahorras: $ 45.740

50% descuento

Envío normal

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

Se enviará desde nuestra bodega entre el Lunes 08 de Julio y el Jueves 18 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Hands-On Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python (en Inglés)"

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Anaconda Python distribution with the popular Scikit-Learn library to demonstrate a wide range of supervised and unsupervised machine learning algorithms. Care is taken to walk you through the principles of machine learning through clear examples written in Python that you can try out and experiment with at home on your own machine.All applied math and programming skills required to master the content are covered in this book. In-depth knowledge of object-oriented programming is not required as working and complete examples are provided and explained. Coding examples are in-depth and complex when necessary. They are also concise, accurate, and complete, and complement the machine learning concepts introduced. Working the examples helps to build the skills necessary to understand and apply complexmachine learning algorithms.Hands-on Scikit-Learn for Machine Learning Applications is an excellent starting point for those pursuing a career in machine learning. Students of this book will learn the fundamentals that are a prerequisite to competency. Readers will be exposed to the Anaconda distribution of Python that is designed specifically for data science professionals, and will build skills in the popular Scikit-Learn library that underlies many machine learning applications in the world of Python. What You'll LearnWork with simple and complex datasets common to Scikit-LearnManipulate data into vectors and matrices for algorithmic processingBecome familiar with the Anaconda distribution used in data scienceApply machine learning with Classifiers, Regressors, and Dimensionality ReductionTune algorithms and find the best algorithms for each datasetLoad data from and save to CSV, JSON, Numpy, and Pandas formatsWho This Book Is ForThe aspiring data scientist yearning to break into machine learning through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming and very basic applied linear algebra will make learning easier, although anyone can benefit from this book.