Python Machine Learning Cookbook : 100 recipes that teach you how to perform various machine learning tasks in the real world

Idioma: inglés

Editorial: Packt Publishing, 2016

1786464470 / 9781786464477

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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Descripción del artículo del vendedor

nach der Bestellung gedruckt Neuware - Printed after ordering - 100 recipes that teach you how to perform various machine learning tasks in the real worldKey FeaturesUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideLearn about perceptrons and see how they are used to build neural networksStuck while making sense of images, text, speech, and real estate This guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniquesBook DescriptionMachine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.With this book, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.You'll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.What you will learnExplore classification algorithms and apply them to the income bracket estimation problemUse predictive modeling and apply it to real-world problemsUnderstand how to perform market segmentation using unsupervised learningExplore data visualization techniques to interact with your data in diverse waysFind out how to build a recommendation engineUnderstand how to interact with text data and build models to analyze itWork with speech data and recognize spoken words using Hidden Markov ModelsAnalyze stock market data using Conditional Random FieldsWork with image data and build systems for image recognition and biometric face recognitionGrasp how to use deep neural networks to build an optical character recognition systemWho this book is for:¿This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code. …

N° de ref. del artículo 9781786464477

Título
Python Machine Learning Cookbook : 100 recipes that teach you how to perform various machine learning tasks in the real world
Autor
Prateek Joshi
Editorial
Packt Publishing
Año de publicación
2016
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
1786464470
ISBN 13
9781786464477
Peso del artículo
572 gramos
Dimensiones
235x191x16 mm

AHA-BUCH GmbH

Einbeck, Alemania

Vendedor de 5 estrellas

Vendedor de IberLibro desde 14 de agosto de 2006

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 7 a 10 días hábilesDe 5 a 7 días hábiles
Primer artículoEUR 35,00EUR 45,00
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AHA-BUCH GmbH

Garlebsen 48
Einbeck, Alemania 37574