Countdown header img desk

MAI SUNT 00:00:00:00

MAI SUNT

X

Countdown header img  mob

MAI SUNT 00:00:00:00

MAI SUNT

X

Promotii popup img

2+1 GRATIS la LITERA

siii TRANSPORT GRATUIT

la TOATE comenzile peste 50 lei!

Profita acum!
Close

Practical Data Science with Hadoop and Spark

Practical Data Science with Hadoop and Spark - Ofer Mendelevitch

Practical Data Science with Hadoop and Spark

The Complete Guide to Data Science with Hadoop-For Technical Professionals, Businesspeople, and Students



Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop (R) and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials.



The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization.



Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP).



This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives.



Learn



What data science is, how it has evolved, and how to plan a data science career
How data volume, variety, and velocity shape data science use cases
Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark
Data importation with Hive and Spark
Data quality, preprocessing, preparation, and modeling
Visualization: surfacing insights from huge data sets
Machine learning: classification, regression, clustering, and anomaly detection
Algorithms and Hadoop tools for predictive modeling
Cluster analysis and similarity functions
Large-scale anomaly detection
NLP: applying data science to human language
Citeste mai mult

-10%

transport gratuit

204.96Lei

227.73 Lei

Sau 20496 de puncte

!

Fiecare comanda noua reprezinta o investitie pentru viitoarele tale comenzi. Orice comanda plasata de pe un cont de utilizator primeste in schimb un numar de puncte de fidelitate, In conformitate cu regulile de conversiune stabilite. Punctele acumulate sunt incarcate automat in contul tau si pot fi folosite ulterior, pentru plata urmatoarelor comenzi.

Livrare in 2-4 saptamani

Descrierea produsului

The Complete Guide to Data Science with Hadoop-For Technical Professionals, Businesspeople, and Students



Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop (R) and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials.



The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization.



Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP).



This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives.



Learn



What data science is, how it has evolved, and how to plan a data science career
How data volume, variety, and velocity shape data science use cases
Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark
Data importation with Hive and Spark
Data quality, preprocessing, preparation, and modeling
Visualization: surfacing insights from huge data sets
Machine learning: classification, regression, clustering, and anomaly detection
Algorithms and Hadoop tools for predictive modeling
Cluster analysis and similarity functions
Large-scale anomaly detection
NLP: applying data science to human language
Citeste mai mult

Detaliile produsului

De pe acelasi raft

Parerea ta e inspiratie pentru comunitatea Libris!

Noi suntem despre carti, si la fel este si

Newsletter-ul nostru.

Aboneaza-te la vestile literare si primesti un cupon de -10% pentru viitoarea ta comanda!

*Reducerea aplicata prin cupon nu se cumuleaza, ci se aplica reducerea cea mai mare.

Ma abonez image one
Ma abonez image one