Search result for Algorithm in data structure Online Courses & Certifications
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Competitive Programming for Beginners
by Filipp Rukhovich , Ilia Stepanov , Oleg Hristenko , Vladislav Nevstruev- 0.0
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Approx. 153 hours to complete
There are four modules in the course — each for one week of education. Binary Search: search of an element in an array Binary Search in real numbers Integer data types structure. Basic and Extended Euclidean Algorithm...
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
Unsupervised learning is used for discovering the underlying structure of the data and encompasses a variety of techniques in machine learning, from clustering to dimension reduction to matrix factorization. You will also be able to apply hard and soft clustering methods (k-Means and Gaussian Mixture Models) to assign segment labels to customers categorized in your sample data sets....
$12.99
C++ For C Programmers, Part A
by Ira Pohl- 4.4
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Approx. 13 hours to complete
This course is for experienced C programmers who want to program in C++. 9 Swap Function in C++ 4 Graph as a Data Structure 4 Using Dijkstra's Algorithm 5 The is-connected Algorithm 12 Dynamic Data Structures in STL 4 Kruskal's Algorithm...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
How to describe the role data science plays in various contexts How statistics, machine learning, and software engineering play a role in data science How to describe the structure of a data science project A Crash Course in Data Science The Structure of a Data Science Project Structure of a Data Science Project...
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges....
Algorithmic Thinking (Part 2)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms....
Foundations of mining non-structured medical data
by Alejandro RodrĂguez González , Consuelo Gonzalo-MartĂn , Ernestina Menasalvas- 4
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Approx. 7 hours to complete
Big Data in medical domain: opportunities and challenges Data generated in the health domain Challenges in unstructured data in health domain Challenges and problems in biomedical texts Challenges and problems in medical images Challenges in unstructured data in health: evaluation test NLP in medical domain NLP in medical domain: evaluation test...
Algorithms on Strings
by Alexander S. Kulikov , Michael Levin , Pavel Pevzner , Neil Rhodes- 4.5
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Approx. 18 hours to complete
Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome. Rules on the academic integrity in the course Knuth–Morris–Pratt Algorithm Knuth-Morris-Pratt Algorithm Full Algorithm...
Discrete Optimization Data Science Heuristic & Metaheuristic
by Up Degree- 3.3
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3.5 hours on-demand video
Discrete Optimization in Data Science: Heuristic and Metaheuristic Methods Ant Colony Optimization (ACO) is one such algorithm proposed by Marco Dorigo in the 1990’s, and is considered a state-of-the-art method to solve the TSP. bays 29 : 29 Cities Problem in Baveria [ DATA SET ] berlin 52 : 52 Locations in Berlin [ DATA SET ]...
$13.99
Advanced Data Structures in Java
by Leo Porter , Mia Minnes , Christine Alvarado- 4.8
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Approx. 29 hours to complete
To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data. When I struggled: The right data structure for the job Concept Challenge: Performance of Dijkstra's Algorithm...
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