Advanced Data Analytics Using Python

With Machine Learning, Deep Learning and NLP Examples

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Éditeur :

Apress


Paru le : 2018-03-29



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Description






Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. 


After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects.


What You Will Learn
Work with data analysis techniques such as classification, clustering, regression, and forecasting
Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL
Examine the different big data frameworks, including Hadoop and Spark
Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP



Who This Book Is For


Data scientists and software developers interested in the field of data analytics.



Pages
186 pages
Collection
n.c
Parution
2018-03-29
Marque
Apress
EAN papier
9781484234495
EAN PDF
9781484234501

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
2284 Ko
Prix
66,05 €
EAN EPUB
9781484234501

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
1157 Ko
Prix
66,05 €

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