Search result for Algorithm analysis and design Online Courses & Certifications
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Data Structures and Algorithm Design Part I | 数据结构与算法设计(上)
by Junhui Deng- 0.0
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8 Weeks
Learn the basics of data structures and methods to design algorithms and analyze their performance. This course aims at exploring the principles and methods in the design and implementation of various data structures and providing students with main tools and skills for algorithm design and performance analysis. Skills for algorithm design and performance analysis...
$49
Deep Learning Regression with R
by Diego Fernandez- 3.4
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4 hours on-demand video
Regularize algorithm learning through nodes connections weight decay, visible or hidden layers dropout fractions and stochastic gradient descent algorithm learning rate. 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
Intro to Algorithms
by Michael Littman- 0.0
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Timeline Approx. 4 Months
This class will give you an introduction to the design and analysis of algorithms, enabling you to analyze networks and discover how individuals are connected. lesson 1 A Social Network Magic Trick Become familiar with algorithm analysis. Russian peasants algorithm and more. Top K Via Partitioning and more. Make a tree and strength of connections....
Free
Business intelligence and data warehousing
by María del Pilar Ángeles- 3.9
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Approx. 10 hours to complete
This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. Design and implement an analytical databases...
Market Basket Analysis & Linear Discriminant Analysis with R
by Gopal Prasad Malakar- 4.1
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3.5 hours on-demand video
Master: Association rules (MBA) & it's usage, Linear Discriminant Analysis (LDA) for classification & variable selection In Part 2, Linear Discriminant Analysis (LDA) is explained. LDA vs PCA side by sideDemo of LDA for more than two classes: understandData visualizationModel developmentModel validation on train data set and test data setsIndustry usage of classification algorithm Handling Special Cases in LDA...
$12.99
Java Programming: Arrays, Lists, and Structured Data
by Andrew D. Hilton , Robert Duvall , Owen Astrachan , Susan H. Rodger- 4.7
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Approx. 14 hours to complete
At the end of the course you will write an encryption program and a program to break your encryption algorithm. Store and manipulate data in an array or ArrayList; Use iterables and collections (including maps) in Java. Creating and Manipulating Strings Programming Exercise: Known Language and Key Length Known Language and Key Length...
Principles of fMRI 1
by Martin Lindquist, PhD, MSc , Tor Wager, PhD- 4.6
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Approx. 8 hours to complete
This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). Module 8: Signal, Noise, and Bold Physiology Module 9: fMRI Artifacts and Types of Noise 1: Spatial and Temporal Resolution of Bold Part 1...
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Data Structures
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
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Approx. 25 hours to complete
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. Dynamic Arrays and Amortized Analysis Dynamic Arrays and Amortized Analysis Chaining Implementation and Analysis Optimization: Implementation and Analysis Split and Merge Slides and External References Slides and External References...
User Experience & Interaction Design for AR/VR/MR/XR
by Michael Nebeling- 4.7
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Approx. 28 hours to complete
The course provides learners with a design thinking mindset and equips them with a fundamental toolbox for creating XR applications using rapid prototyping. The course then emphasizes design thinking, critiques, and ethics while introducing guidelines and user-centered techniques like design jams. Design Thinking, Ethics, and Guidelines for XR Design Portfolios and Presentations...
Framework for Data Collection and Analysis
by Frauke Kreuter, Ph.D. , Mariel Leonard- 4.2
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Approx. 10 hours to complete
With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Data Analysis Readings and Resources List Measurements and Analysis Plan Web and Google Survey Life Cycle from a Design Perspective - Measurement...
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