Search result for Parallel processing Online Courses & Certifications
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Big Data Analytics with GIS
by Arthur Lembo- 3.9
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6 hours on-demand video
All the software is free, but don't let that fool you: we'll be using the most effective open source products like Postgres and QGIS, and we'll even perform parallel processing with Manifold Viewer - I hope you have a multi-core computer to see how fast this stuff is!...
$9.99
Java Multithreading , Concurrency & Parallel Programming 2/e
by Basics Strong- 4.3
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10.5 hours on-demand video
Java MultiThreading, Concurrency, Parallel Algorithms, Asynchronous programming , Executors, CompletableFuture and more BEST in Class course for programmers to learn multitasking, MultiThreading and Parallel programming paradigm. Multi Processing Parallel algorithms. Parallel Streams for Faster processing of Collections. Then we will write and solve some Algorithms using parallel processing Multi Processing and Parrlel Comutin Algorithums...
$11.99
Concurrent Programming in Python
by Packt Publishing- 3.2
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2.5 hours on-demand video
In this course, you will skill-up with techniques related to various aspects of concurrent programming in Python, including common thread programming techniques and approaches to parallel processing. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing....
$12.99
Learn Parallel Programming with C# and .NET
by Dmitri Nesteruk- 4.5
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5.5 hours on-demand video
NET Framework, namely the Task Parallel Library (TPL) and Parallel LINQ (PLINQ). Parallel Loops which let you easily iterate over a counter or collection while partitioning the data and processing it on separate threads. Parallel LINQ, the parallel version of ....
$14.99
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
This course introduces the fundamentals of high-performance and parallel computing. It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. These skills include big-data analysis, machine learning, parallel programming, and optimization. Parallel Processing - Part 1 Parallel Processing - Part 2...
Real-Time Project for Embedded Systems
by Sam Siewert- 0.0
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Approx. 49 hours to complete
● Outcome 3: Design and construct a solution for a native Linux system equipped with a webcam to verify and demonstrate system synchronization using machine vision processing De-coupling of I/O from real-time processing to avoid response time over-runs Using AMP design principles with best-effort and parallel real-time co-processing...
Hands-On Parallel Programming with C# 8 and .NET Core 3.0
by Packt Publishing- 4.3
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1.5 hours on-demand video
NET Core development with parallel programming concepts With the new industry standard of increasing the processing power of machines, the concept of parallel programming was introduced as well. updates—will introduce you to the concepts of parallel programming in . You’ll also apply parallel programming to your data structures....
$9.99
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Functional Programming with Lambdas and Streams in Java
by Aman Thakur- 4.3
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1 hour on-demand video
Work with sequential and parallel streams, and use parallel processing on multi-core systems....
$9.99
Relational Database Support for Data Warehouses
by Michael Mannino- 4.6
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Approx. 22 hours to complete
Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts. Processing Model and Basic Syntax video lecture Materialized View Processing and Design Materialized view definition and processing video lecture Scalable Parallel Processing Approaches video lecture...
Advanced Data Science Capstone
by Romeo Kienzler- 4.6
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Approx. 9 hours to complete
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability....
