Search result for Applications of complex analysis Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,696 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Machine Design Part I
by Dr. Kathryn Wingate- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 31 hours to complete
“Machine Design Part I” is the first course in an in-depth three course series of “Machine Design. ” The “Machine Design” Coursera series covers fundamental mechanical design topics, such as static and fatigue failure theories, the analysis of shafts, fasteners, and gears, and the design of mechanical systems such as gearboxes. Module 5: Modulus of Elastricity - Applications...
Foundations: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. Origins of the data analysis process Six phases of data analysis Learning Log: Reflect on the data analysis process Self-Reflection: Business use of data...
Computer Vision In Python! Face Detection & Image Processing
by Emenwa Global- 4.1
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. There is a significant overlap in the range of techniques and applications that these cover. For example, medical imaging includes substantial work on the analysis of image data in medical applications....
$11.99
Cluster Analysis in Data Mining
by Jiawei Han- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications. What is Cluster Analysis Applications of Cluster Analysis 5 An Overview of Typical Clustering Methodologies...
Computational Vision
by David Quigley- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding. Apply various models of human and machine vision and discuss their limitations. Demonstrate the geon model of object recognition and its limitations....
Apache Spark with Scala - Hands On with Big Data!
by Sundog Education by Frank Kane- 4.6
-
![]()
![]()
![]()
![]()
![]()
9 hours on-demand video
Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course. Translate complex analysis problems into iterative or multi-stage Spark scripts Once you've got the basics under your belt, we'll move to some more complex and interesting tasks....
$16.99
Learning, Knowledge, and Human Development
by Dr William Cope , Dr Mary Kalantzis- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
This course sets out to provide an understanding of theories of learning and development and how these theories relate to educational technology. Take this Course for Credit at the University of Illinois The Effects of Policy Change on the Test Results and Graduation Rates Differences between States and Variation within States: Raising Questions that Require Qualitative Analysis...
Related searches
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....
Advanced Tableau - Level of Detail Expressions / LOD
by R-Tutorials Training- 4.6
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
One strong point of the software is its responsiveness. This strong point, however, can easily be turned into a weakness, if you want your analysis to step out of the borders of the view level of detail. In this course, you will learn about the general mechanics of LOD expressions both in theory and practice....
$12.99
Previous
