- Main
- Computers - Databases
- Data Algorithms: Recipes for Scaling Up...
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Mahmoud Parsianدا کتاب تاسو ته څنګه خواښه شوه؟
د بار شوي فایل کیفیت څه دئ؟
تر څو چې د کتاب کیفیت آزمایښو وکړئ، بار ئې کړئ
د بار شوو فایلونو کیفیتی څه دئ؟
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects.
Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark.
Topics include:
Market basket analysis for a large set of transactions
Data mining algorithms (K-means, KNN, and Naive Bayes)
Using huge genomic data to sequence DNA and RNA
Naive Bayes theorem and Markov chains for data and market prediction
Recommendation algorithms and pairwise document similarity
Linear regression, Cox regression, and Pearson correlation
Allelic frequency and mining DNA
Social network analysis (recommendation systems, counting triangles, sentiment analysis)
Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark.
Topics include:
Market basket analysis for a large set of transactions
Data mining algorithms (K-means, KNN, and Naive Bayes)
Using huge genomic data to sequence DNA and RNA
Naive Bayes theorem and Markov chains for data and market prediction
Recommendation algorithms and pairwise document similarity
Linear regression, Cox regression, and Pearson correlation
Allelic frequency and mining DNA
Social network analysis (recommendation systems, counting triangles, sentiment analysis)
درجه (قاطیغوری(:
کال:
2015
خپرونه:
1
خپرندویه اداره:
O'Reilly Media
ژبه:
english
صفحه:
778
ISBN 10:
1491906189
ISBN 13:
9781491906187
فایل:
PDF, 7.58 MB
ستاسی تیګی:
IPFS:
CID , CID Blake2b
english, 2015
د ۱- ۵ دقیقو په جریان کې فایل ستاسی ایمل ته دررسیږی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د ټیلیګرام آکاونټ ته وسپارل شي.
یادونه: مطمئن شئ چې تاسو خپل آګاونټ د Z-Library Telegram بوټ سره تړلی دی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د Kindle وسیلې ته وسپارل شي.
ملاحظه هر کتاب چي تاسي Kindle ته ليږئ باید تصدیق شی. خپله الکترونیکی پوسته تفتیش کړئ چې پکښې باید د Amazon Kindle Support له خوا مکتوب وی.
ته بدلون په کار دي
ته بدلون ناکام شو
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- د لټون نورې نبیجې
- More benefits