PySpark Recipes A Problem-Solution Approach with PySpark2 /

PySpark Recipes A Problem-Solution Approach with PySpark2 /

Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! PySpark R...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Mishra, Raju Kumar (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berkeley, CA : Apress : Imprint: Apress, 2018.
Έκδοση:	1st ed. 2018.
Θέματα:	Big data. Computer programming. Programming languages (Electronic computers). Data mining. Big Data. Programming Techniques. Programming Languages, Compilers, Interpreters. Data Mining and Knowledge Discovery.
Διαθέσιμο Online:	Full Text via HEAL-Link

Παρόμοια τεκμήρια

PySpark SQL Recipes With HiveQL, Dataframe and Graphframes /
ανά: Mishra, Raju Kumar, κ.ά.
Έκδοση: (2019)

Learn PySpark Build Python-based Machine Learning and Deep Learning Models /
ανά: Singh, Pramod, κ.ά.
Έκδοση: (2019)

PyTorch Recipes A Problem-Solution Approach /
ανά: Mishra, Pradeepta, κ.ά.
Έκδοση: (2019)

Machine Learning with PySpark With Natural Language Processing and Recommender Systems /
ανά: Singh, Pramod, κ.ά.
Έκδοση: (2019)

Beginning Apache Spark 2 With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /
ανά: Luu, Hien, κ.ά.
Έκδοση: (2018)

R Data Science Quick Reference A Pocket Guide to APIs, Libraries, and Packages /
ανά: Mailund, Thomas, κ.ά.
Έκδοση: (2019)

Practical Apache Spark Using the Scala API /
ανά: Chellappan, Subhashini, κ.ά.
Έκδοση: (2018)

Learn Data Analysis with Python Lessons in Coding /
ανά: Henley, A.J, κ.ά.
Έκδοση: (2018)

Data Mining Algorithms in C++ Data Patterns and Algorithms for Modern Applications /
ανά: Masters, Timothy, κ.ά.
Έκδοση: (2018)

Python Data Analytics With Pandas, NumPy, and Matplotlib /
ανά: Nelli, Fabio, κ.ά.
Έκδοση: (2018)

The Definitive Guide to Spring Batch Modern Finite Batch Processing in the Cloud /
ανά: Minella, Michael T., κ.ά.
Έκδοση: (2019)

Deep Belief Nets in C++ and CUDA C: Volume 2 Autoencoding in the Complex Domain /
ανά: Masters, Timothy, κ.ά.
Έκδοση: (2018)

Deep Belief Nets in C++ and CUDA C: Volume 3 Convolutional Nets /
ανά: Masters, Timothy, κ.ά.
Έκδοση: (2018)

Deep Belief Nets in C++ and CUDA C: Volume 1 Restricted Boltzmann Machines and Supervised Feedforward Networks /
ανά: Masters, Timothy, κ.ά.
Έκδοση: (2018)

Ruby Data Processing Using Map, Reduce, and Select /
ανά: Godse, Jay, κ.ά.
Έκδοση: (2018)

Deep Learning with Applications Using Python Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras /
ανά: Manaswi, Navin Kumar, κ.ά.
Έκδοση: (2018)

Big Data Processing Using Spark in Cloud
Έκδοση: (2019)

Building Scalable PHP Web Applications Using the Cloud A Simple Guide to Programming and Administering Cloud-Based Applications /
ανά: Bartlett, Jonathan, κ.ά.
Έκδοση: (2019)

Python for Data Mining Quick Syntax Reference
ανά: Porcu, Valentina, κ.ά.
Έκδοση: (2018)

Data Science Fundamentals for Python and MongoDB
ανά: Paper, David, κ.ά.
Έκδοση: (2018)

Haskell Quick Syntax Reference A Pocket Guide to the Language, APIs, and Library /
ανά: Nita, Stefania Loredana, κ.ά.
Έκδοση: (2019)

Practical Data Science A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
ανά: Vermeulen, Andreas François, κ.ά.
Έκδοση: (2018)

Numerical Python Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib /
ανά: Johansson, Robert, κ.ά.
Έκδοση: (2019)

Text Analytics with Python A Practitioner's Guide to Natural Language Processing /
ανά: Sarkar, Dipanjan, κ.ά.
Έκδοση: (2019)

Big Data Analytics: Systems, Algorithms, Applications
ανά: Prabhu, C.S.R, κ.ά.
Έκδοση: (2019)

Data Analysis and Visualization Using Python Analyze Data to Create Visualizations for BI Systems /
ανά: Embarak, Dr. Ossama, κ.ά.
Έκδοση: (2018)

Practical Data Science with Python 3 Synthesizing Actionable Insights from Data /
ανά: Varga, Ervin, κ.ά.
Έκδοση: (2019)

Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Examples /
ανά: Mukhopadhyay, Sayan, κ.ά.
Έκδοση: (2018)

Data versus Democracy How Big Data Algorithms Shape Opinions and Alter the Course of History /
ανά: Shaffer, Kris, κ.ά.
Έκδοση: (2019)

Advances in Machine Learning and Data Science Recent Achievements and Research Directives /
Έκδοση: (2018)

Measuring the Data Universe Data Integration Using Statistical Data and Metadata Exchange /
ανά: Stahl, Reinhold, κ.ά.
Έκδοση: (2018)

Proceedings of International Conference on Computational Intelligence and Data Engineering Proceedings of ICCIDE 2018 /
Έκδοση: (2019)

Proceedings of International Conference on Computational Intelligence and Data Engineering ICCIDE 2017 /
Έκδοση: (2018)

Pro DevOps with Google Cloud Platform With Docker, Jenkins, and Kubernetes /
ανά: Riti, Pierluigi, κ.ά.
Έκδοση: (2018)

Higher Education for All. From Challenges to Novel Technology-Enhanced Solutions First International Workshop on Social, Semantic, Adaptive and Gamification Techniques and Technologies for Distance Learning, HEFA 2017, Maceió, Brazil, March 20-24, 2017, Revised Selected Papers /
Έκδοση: (2018)

Data, Engineering and Applications Volume 1 /
Έκδοση: (2019)

Data, Engineering and Applications Volume 2 /
Έκδοση: (2019)

Data-intensive Systems Principles and Fundamentals using Hadoop and Spark /
ανά: Wiktorski, Tomasz, κ.ά.
Έκδοση: (2019)

Classification, (Big) Data Analysis and Statistical Learning
Έκδοση: (2018)

Modern Data Access with Entity Framework Core Database Programming Techniques for .NET, .NET Core, UWP, and Xamarin with C# /
ανά: Schwichtenberg, Holger, κ.ά.
Έκδοση: (2018)

Βιβλιοθήκη & Κέντρο Πληροφόρησης | Πανεπιστήμιο Πατρών

Cannot write session to /tmp/vufind_sessions/sess_5gqm63ceu58e7rgij0u8nmr9hj