Search result for Applications in computer science Online Courses & Certifications
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Introduction to web programming for GIS applications
by Michael Miller- 4.6
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14.5 hours on-demand video
Understanding web programming fundamentals focused on geospatial applications using Leaflet, Turf. For those with more experience designing web applications, there are a number of points addressed that often are overlooked in typical tutorials. As a GIS scientist without formal computer science training, a lot of what you are teaching here will come in handy....
$14.99
Augmented Reality and ARCore in Practise
by Packt Publishing- 2.5
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5 hours on-demand video
Finally, in the end, you will be deploying cross-platform applications in ARCore as well as in Apple's ARkit using interface By the end of the course, you will have become fluent in developing AR applications with ARCore that blend your real and virtual worlds. He also has proficient knowledge in computer vision and IOT....
$9.99
Introduction to Java Programming
by Academy of Computing & Artificial Intelligence- 4.1
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6.5 hours on-demand video
Learn the basics of Java in 5. Our associates at Academy of Computing & Artificial Intelligence got together and after carefully analyzing the top must learn computer programming languages in 2020, we were able to conclude that Java is the 3rd most used programming language according to stackoverflow. • Object Oriented Programming in Java...
$12.99
Computational Geometry
by Alexander S. Kulikov , Aliaksei Tolstsikau , Kira Vyatkina- 3.9
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Approx. 19 hours to complete
Its application areas include computer graphics, computer-aided design and geographic information systems, robotics, and many others. You will learn to apply to this end various algorithmic approaches, and asses their strong and weak points in a particular context, thus gaining an ability to choose the most appropriate method for a concrete problem. 3 Testing point inclusion in a polygon...
Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. - basic machine learning (optional introduction videos are provided in this course as well) Using K-Means in Apache SparkML...
Top Python and Ruby Programming Bundle
by John Elder- 4.8
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4 hours on-demand video
In this course we'll learn the Python 3 programming language and the Ruby programming language from an absolute Beginner level all the way to Advanced in no time at all! Then, we'll dive into very basic computer science concepts. We'll start with Python, and then move over to Ruby in the second half of the course....
$11.99
Kinesiology Taping - A Cutaneous Nervous System Approach
by Chris Kinch- 4.7
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2.5 hours on-demand video
This course has been developed based on current understandings in anatomy, physiology, neurophysiology, neuroscience, and pain science. We dive into the basic anatomy of the skin and its nervous supply and introduce taping applications aimed at affecting specific cutaneous sensory nerves to have our therapeutic effect....
$12.99
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TensorFlow 101: Introduction to Deep Learning
by Sefik Ilkin Serengil- 4.2
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4 hours on-demand video
The both concept of deep learning and its applications will be mentioned in this course. We will also focus on the advanced topics in this lecture such as transfer learning, autoencoders, face recognition (including those models: VGG-Face, Google FaceNet, OpenFace and Facebook DeepFace). This course appeals to ones who interested in Machine Learning, Data Science and AI....
$12.99
Git Essentials
by Packt Publishing- 4.2
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2 hours on-demand video
You’ll have a profound understanding of Git’s branching workflow, and how to use it in the best possible way in your projects. Ross Conyers is a Computer Science Graduate and Software Engineer who started programming and building computers in his teens and went on to study Computer Science at the University of St Andrews....
$9.99
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
Explain the use of linear and logistic regression in supervised learning applications Explain the use of tree-based algorithms in supervised learning applications Explain the use of Neural Networks in supervised learning applications This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
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