Search result for Graph processing Online Courses & Certifications
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Learn By Example : Apache Flink
by Loony Corn- 3.5
3 hours on-demand video
30 solved examples on Stream and Batch processing Flink is a stream processing technology with added capability to do lots of other things like batch processing, graph algorithms, machine learning etc. This course has 30 Solved Examples on building Flink Applications for both Streaming and Batch Processing 7) Representing Graph data using Gelly...
$12.99
Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms
by Mary Hudachek-Buswell- 0.0
5 Weeks
Tackle essential algorithms that traverse the graph data structure like Dijkstra’s Shortest Path. Once a graph is traversed then it follows that you want to find the shortest path from a single vertex to all other vertices. Dijkstra’s algorithm allows you to have a deeper understanding of the Graph ADT. The other half of this course examines text processing algorithms....
$149
Probabilistic Graphical Models 1: Representation
by Daphne Koller- 4.6
Approx. 67 hours to complete
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more....
Learning Path: Data Science With Apache Spark 2
by Packt Publishing- 3.6
9 hours on-demand video
Get started with Spark for large-scale distributed data processing and data science The real power and value proposition of Apache Spark is its speed and platform to execute data processing and data science tasks. His typical day includes building efficient processing with advanced machine learning algorithms, easy SQL, streaming and graph analytics....
$9.99
NoSQL systems
by María del Pilar Ángeles- 4.2
Approx. 9 hours to complete
● Use Atomic Aggregates and denormalization as data modelling techniques to optimize query processing Graph Databases Graph databases Graph database...
Data Science in Stratified Healthcare and Precision Medicine
by Dr Areti Manataki , Dr Frances Wong- 4.6
Approx. 17 hours to complete
Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Graph Data & RDF Ontologies & Graph Data Conclusion...
Algorithms, Part I
by Kevin Wayne , Robert Sedgewick- 4.9
Approx. 54 hours to complete
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free....
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Algorithms, Part II
by Robert Sedgewick , Kevin Wayne- 4.9
Approx. 63 hours to complete
Graph API Graph Challenges Edge-Weighted Graph API...
Graph Analytics for Big Data
by Amarnath Gupta- 4.3
Approx. 13 hours to complete
Have you heard of the fast-growing area of graph analytics and want to learn more? Graph Analytics Focusing On Graph Analytics Techniques Disconnecting a Graph Optional Lecture 4: Measuring Graph Evolution Graph Analytics Applications Graph Analytics Techniques Welcome to Graph Analytics Techniques Introduction: Large Scale Graph Processing Pregel: The System That Changed Graph Processing...
Learn Apache Spark with Python
by Edulearners Technologies- 3.6
8 hours on-demand video
More and more organizations are adapting Apache Spark for building their big data processing and analytics applications and the demand for Apache Spark professionals is sky rocketing. You might already know Apache Spark as a fast and general engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing....
$12.99