Large Scale Machine Learning with Python / Najlacnejšie knihy
Large Scale Machine Learning with Python

Kód: 13744374

Large Scale Machine Learning with Python

Autor Bastiaan Sjardin, Luca Massaron, Alberto Boschetti

Learn to build powerful machine learning models quickly and deploy large-scale predictive applicationsKey FeaturesDesign, engineer and deploy scalable machine learning solutions with the power of PythonTake command of Hadoop and S ... celý popis

54.66 €

Bežne: 55.74 €

Ušetríte 1.08 €


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Viac informácií

Viac informácií o knihe Large Scale Machine Learning with Python

Nákupom získate 133 bodov

Anotácia knihy

Learn to build powerful machine learning models quickly and deploy large-scale predictive applications


Key Features



Book Description


Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy.


Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.


What you will learn



Who this book is for


This book is for anyone who intends to work with large and complex data sets. Familiarity with basic Python and machine learning concepts is recommended. Working knowledge in statistics and computational mathematics would also be helpful.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Computer architecture & logic design

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