Search result for Algorithm analysis and design Online Courses & Certifications
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Data Structures and Algorithms In C#
by Deepali Srivastava- 4.2
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10.5 hours on-demand video
Data Structures and Algorithms in C# Using Algorithms Data Structures with Algorithms Data Structures Master Algorithms Various sorting algorithms with implementation and analysis are included. Algorithm Analysis Stack and Queue "Clear and concise explanation of basic to advanced data structures. "This course is extraordinary i recommend for all data structure and algorithm beginner who study any programming language "...
$14.99
Teach English Now! Lesson Design and Assessment
by Dr. Shane DixonTop Instructor , Dr. Justin ShewellTop Instructor , Jessica CincoTop Instructor- 4.9
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Approx. 21 hours to complete
Learners will be introduced to designing lesson plans based on principles and knowledge of learning objectives, assessment plans, methods, materials, and learning activities. Learners will find and prepare appropriate teaching materials through careful analysis, adaptation and creation of professional resources. Learners will also reflect on the cohesion between lesson design and teaching philosophies....
Improving Your Statistical Questions
by Daniel LakensTop Instructor- 4.9
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Approx. 18 hours to complete
We will discuss how to design informative studies, both when your predictions are correct, as when your predictions are wrong. We will question norms, and reflect on how we can improve research practices to ask more interesting questions. Download Course Materials and Course Structure (Must Read) 2: Power Analysis 2: Power Analysis for ANOVA Designs...
Unsupervised Deep Learning in Python
by Lazy Programmer Team- 4.5
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8.5 hours on-demand video
Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA This course is the next logical step in my deep learning, data science, and machine learning series. In these course we’ll start with some very basic stuff - principal components analysis (PCA), and a popular nonlinear dimensionality reduction technique known as t-SNE (t-distributed stochastic neighbor embedding)....
$34.99
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow The Components of an ML System: Data Analysis and Validation The Components of an ML System: Tuner + Model Evaluation and Validation...
System Validation: Automata and behavioural equivalences
by Jan Friso Groote- 4.4
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Approx. 4 hours to complete
This first course ’Automata and behavioural equivalences', builds the foundation of the subsequent courses, showing you how to look at system behaviour as state machines. It discusses behavioural equivalences and illustrate these in a number of examples and quizzes. This allows us to exactly investigate and understand the behavioural properties of such systems precisely....
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. Exploratory Data Analysis and Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project...
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Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
by Mary Hudachek-Buswell- 0.0
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5 Weeks
Learn more complex tree data structures, AVL and (2-4) trees. You will investigate and explore the two more complex data structures: AVL and (2-4) trees. As you enter the algorithm portion of the course, you begin with a couple of familiar iterative sorting algorithms: Bubble and Selection. The course design has several components and is built around modules....
$149
Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
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Approx. 22 hours to complete
The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Example of a unimodal and skewed mixture of Gaussians Example of a unimodal, symmetric and heavy tailed mixture of Gaussians Linear and quadratic discriminant analysis in the context of Mixture Models...
Customer Insights: Quantitative Techniques
by James Lenz- 4
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Approx. 14 hours to complete
The second module will explore the technique of conjoint analysis for quantifying the customer benefits, customer values, and the trade-off he or she is willing to make between the price of the product and desired features of the product or service. 3 Conjoint Analysis 4 Survey for Conjoint Analysis...
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