Search result for Graph theory Online Courses & Certifications
Get Course Alerts by Email
Algorithm Design and Analysis
by Sampath Kannan- 0.0
4 Weeks
You will learn about algorithms that operate on common data structures, for instance sorting and searching; advanced design and analysis techniques such as dynamic programming and greedy algorithms; advanced graph algorithms such as minimum spanning trees and shortest paths; NP-completeness theory; and approximation algorithms....
$149
Causal Data Science with Directed Acyclic Graphs
by Paul Hünermund- 4.7
5 hours on-demand video
DAGs combine mathematical graph theory with statistical probability concepts and provide a powerful approach to causal reasoning. The focus lies on practical applications of the theory and students will be put into the position to apply causal data science methods in their own work....
$13.99
Delivery Problem
by Alexander S. Kulikov- 4.7
Approx. 14 hours to complete
While designing these solutions, we will rely heavily on the material learned in the courses of the specialization: proof techniques, combinatorics, probability, graph theory....
CS50's Introduction to Artificial Intelligence with Python
by David J. Malan , Brian Yu- 0.0
7 Weeks
Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. graph search algorithms probability theory...
$199
Networks, Crowds and Markets
by David Easley , Jon Kleinberg , Eva Tardos- 0.0
10 Weeks
Use the tools of graph theory as a basis for studying the Internet social networks, and the process of Web search. Apply game theory to analyze strategic behavior in a variety of settings including auction design, Web advertising, network routing, and social marketing....
$49
I/O-efficient algorithms
by Mark de Berg- 4.6
Approx. 10 hours to complete
- Graph terminology, representations of graphs (adjacency lists and adjacency matrix), basic graph algorithms (BFS, DFS, topological sort, shortest paths)...
Discrete Mathematics
by Dominik Scheder- 3.4
Approx. 42 hours to complete
The main topics of this course are (1) sets, functions, relations, (2) enumerative combinatorics, (3) graph theory, (4) network flow and matchings. Introduction to Graph Theory Graph Isomorphism, Degree, Graph Score Graph Score Theorem...
Related searches
Complete Guide to TensorFlow for Deep Learning with Python
by Jose Portilla- 4.4
14 hours on-demand video
This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them....
$21.99
Discrete Mathematics
by Miran Fattah- 4.5
19 hours on-demand video
Number Theory Graph Theory You will learn the fundamentals of Set Theory including set builder notation, and set operations and properties. You will learn the fundamental concepts in Graph Theory like incidence and adjacency matrices, walks, eccentricity, hamiltonian paths and circuits, connectedness, and Ore's Theorem....
$21.99
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 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....