ISBN: 9781785289712 - practical data analysis - second edition (20 risultati)

Condizione: New.

paperback. Condizione: New. 2nd Revised edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Condizione: New.

Condizione: New.

Digital. Condizione: New. A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache SparkAbout This Book. Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data. Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images. A hands-on guide to understanding the nature of data and how to turn it into insightWho This Book Is ForThis book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed.What You Will Learn. Acquire, format, and visualize your data. Build an image-similarity search engine. Generate meaningful visualizations anyone can understand. Get started with analyzing social network graphs. Find out how to implement sentiment text analysis. Install data analysis tools such as Pandas, MongoDB, and Apache Spark. Get to grips with Apache Spark. Implement machine learning algorithms such as classification or forecastingIn DetailBeyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service.This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.Style and approachThis is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.…

Condizione: New.

Condizione: New. In English.

Condizione: New. 2016. Second. paperback. . . . . .

Condizione: New. 2016. Second. paperback. . . . . . Books ship from the US and Ireland.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: As New. Unread book in perfect condition.

Digital. Condizione: New. A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache SparkAbout This Book. Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data. Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images. A hands-on guide to understanding the nature of data and how to turn it into insightWho This Book Is ForThis book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed.What You Will Learn. Acquire, format, and visualize your data. Build an image-similarity search engine. Generate meaningful visualizations anyone can understand. Get started with analyzing social network graphs. Find out how to implement sentiment text analysis. Install data analysis tools such as Pandas, MongoDB, and Apache Spark. Get to grips with Apache Spark. Implement machine learning algorithms such as classification or forecastingIn DetailBeyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service.This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.Style and approachThis is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.…

PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Condizione: Neu. Practical Data Analysis | Hector Cuesta (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2016 | Packt Publishing | EAN 9781785289712 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…