Search result for Familiarity with computer applications Online Courses & Certifications
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Functional Program Design in Scala
by Martin Odersky- 4.5
Approx. 35 hours to complete
Several parts of this course deal with the question how functional programming interacts with mutable state. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity with using the command line. 1 - Queries with For 4 - Computing with Infinite Sequences...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
Explain the curse of dimensionality, and how it makes clustering difficult with many features 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, Unsupervised Learning, Supervised Learning, Calculus, Linear Algebra, Probability, and Statistics. Deep Learning Applications and Reinforcement Learning...
Functional Programming Principles in Scala
by Martin Odersky- 4.8
Approx. 45 hours to complete
It interoperates seamlessly with both Java and Javascript. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. 5 - Example: square roots with Newton's method Combine functional programming with objects and classes...
State Estimation and Localization for Self-Driving Cars
by Jonathan Kelly , Steven Waslander- 4.7
Approx. 27 hours to complete
This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. 0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws)....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. 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....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. 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....
Black-box and White-box Testing
by Mike , Kevin Wendt- 0.0
Approx. 26 hours to complete
In order to do well in this course, you should have experience with an OOP language (like Java), have an IDE installed (e. , Eclipse), and be familiar with testing terminology (see Intro to Software Testing course within this specialization). we also expect a familiarity with the Software Development Lifecycle and the context in which the testing stage sits....
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AZ-500 - Microsoft Azure Security Engineer - Practice Tests
by Practice Makes Perfect- 0.0
| Get Certified in AZ-500 Exam | Pre-exam Practice | Pass in first attempt | Advance into Cloud Security with Azure | A candidate should also have a strong familiarity with cloud capabilities, Azure products and services, and other Microsoft products and services. Secure Data and Applications (25-30%)...
$12.99
Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications
by Vu Q Nguyen- 4.6
Approx. 3 hours to complete
Welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications course! This course is intended for learners with no prior experience with computer vision, although previous knowledge is helpful. No prior knowledge of computer vision is necessary, although previous experience is helpful. Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications...
Functional Programming Principles in Scala
by Martin Odersky- 4.8
Approx. 41 hours to complete
It interoperates seamlessly with both Java and Javascript. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript, or Ruby is also sufficient. You should have some familiarity using the command line. 5 - Example: square roots with Newton's method Combine functional programming with objects and classes...