Search result for Data structures and algorithm analysis Online Courses & Certifications
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Process Mining: Data science in Action
by Wil van der Aalst- 4.7
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Approx. 22 hours to complete
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. , simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. - be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,...
Fundamental Data Structures & Algorithms using C language.
by Shibaji Paul- 4.5
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15.5 hours on-demand video
Learn Data Structures and algorithms for Stack, Queue, Linked List, Binary Search Tree and Heap ( using C Programming ). Singly Linked List - Development of algorithm for various operations and then Implementation of each of them Doubly Linked List - Idea, definition, algorithm of various operations and implementations. Circular Linked List - Idea, definition, algorithm and implementations....
$12.99
Deep Learning Regression with Python
by Diego Fernandez- 3.4
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4 hours on-demand video
Learn deep learning regression through a practical course with Python programming language using S&P 500® Index ETF prices historical data for algorithm learning. Then, you’ll implement algorithm training for mapping optimal relationship between target and predictor features. For algorithm training, you’ll use only relevant predictor features subset or transformations through principal components analysis procedure and nodes connections weight decay regularization....
$9.99
Regression Machine Learning with Python
by Diego Fernandez- 3.5
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6 hours on-demand video
Train algorithm for mapping optimal relationship between target and predictor features. Then, you’ll define algorithm features by creating target and predictor variables for supervised regression learning task. For algorithm training, you’ll use only relevant predictor features subset or transformations through principal component analysis procedure and linear regression coefficients regularization optimal parameter estimation or fine tuning through time series cross-validation....
$12.99
Algorithms, Part II
by Robert Sedgewick , Kevin Wayne- 4.9
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Approx. 63 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. Greedy Algorithm Kruskal's Algorithm...
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
by Ge Gao 高歌, Ph.D. , Liping Wei 魏丽萍, Ph.D.- 4.4
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Approx. 25 hours to complete
Alignment with Affine Gap Penalty and Calculation of Time Complexity of The Needleman-Wunsch Algorithm Computer Lab: RNA-seq Data Analysis RNA-seq (English Subtitles) Prediction and Analysis of Noncoding RNA Data Mining: Differential Expression and Clustering Prediction and Analysis of Noncoding RNA Bioinformatics Database and Software Resources New Gene Evolution Detected by Genomic Computation: Basic Concepts and Examples...
Developing FPGA-accelerated cloud applications with SDAccel: Practice
by Marco Domenico Santambrogio- 4.3
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Approx. 13 hours to complete
This scenario is turning cloud and data center architectures toward accelerated computing. In the following classes, we present an analysis and successive FPGA-based hardware acceleration of the Smith-Waterman algorithm used to perform pairwise alignment of DNA sequences. Applicative domains and Victor's story F1: instances and FPGA description Algorithm and code analysis...
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Deep Learning Regression with R
by Diego Fernandez- 3.4
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4 hours on-demand video
Learn deep learning regression through a practical course with R statistical software using S&P 500® Index ETF prices historical data for algorithm learning. Extract algorithm predictor features through stacked autoencoders, restricted Boltzmann machines and deep belief network. For algorithm training, you’ll use only relevant predictor features subset or transformations through principal components analysis procedure and nodes connections weight decay regularization....
$9.99
Concurrent Programming in Java
by Vivek Sarkar- 4.5
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Approx. 19 hours to complete
This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8. Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs. Concurrent Data Structures 5 Concurrent Minimum Spanning Tree Algorithm Demonstration: Parallelization of Boruvka's Minimum Spanning Tree Algorithm...
Capstone: Retrieving, Processing, and Visualizing Data with Python
by Charles Russell Severance- 4.7
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Approx. 9 hours to complete
In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find....
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