Data engineer I Design Data: Data Book Of Engineers By PSG College-Kalaikathir Achchagam – Coimbatore

Design Data: Data Book Of Engineers By PSG College-Kalaikathir Achchagam - Coimbatore

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Features

BindingPaperback
EAN9788192735504
EAN ListEAN List Element: 9788192735504
ISBN8192735508
LanguagesName: English; Type: Published
Package DimensionsHeight: 94; Length: 992; Weight: 216; Width: 732
Package Quantity1
Product GroupBook
Product Type NameBOOKS_1973_AND_LATER
Publication Date2012
TitleDesign Data: Data Book Of Engineers By PSG College-Kalaikathir Achchagam - Coimbatore

Product Description

This is the best and Limited books.

Top 200 Data Engineer Interview Questions & Answers

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Features

AuthorKnowledge Powerhouse
BindingKindle Edition
FormatKindle eBook
LanguagesName: English; Type: Published
Number Of Pages168
Product GroupeBooks
Product Type NameABIS_EBOOKS
Publication Date2017-03-19
Release Date2017-03-19
TitleTop 200 Data Engineer Interview Questions & Answers

Product Description

Top 200 Data Engineer Interview QuestionsBig Data and Data Science are the most popular technology trends. There is a growing demand for Data Engineer job in technology companies. This book contains technical interview questions that an interviewer asks for Data Engineer position. Each question is accompanied with an answer so that you can prepare for job interview in short time. The book contains questions on Apache Hadoop, Hive, Spark, SQL and MySQL. It is a combination of our five other books.We have compiled this list after attending dozens of technical interviews in top-notch companies like- Airbnb, Netflix, Amazon etc.Often, these questions and concepts are used in our daily work. But these are most helpful when an Interviewer is trying to test your deep knowledge of Big Data topics like- Hadoop, Hive, Spark, SQL, MySQL etc.What are the Big Data topics covered in this book?We cover a wide variety of Big Data and Data Science topics in this book. Some of the topics are Apache...

Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

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Features

AuthorMariette Awad; Rahul Khanna
BindingKindle Edition
Edition1st ed.
EISBN9781430259909
FormatKindle eBook
LabelApress
LanguagesName: English; Type: Published
ManufacturerApress
Number Of Pages263
Product GroupeBooks
Product Type NameABIS_EBOOKS
Publication Date2015-04-27
PublisherApress
Release Date2015-04-27
StudioApress
TitleEfficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

Product Description

Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning...

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