Category: Explain basic virtualization concepts

  • Machine Learning Fundamentals with Scala and Apache Spark Training Course

    Overview The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Scala programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to […]

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  • Machine Learning Fundamentals with R Training Course

    Overview The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the R programming platform and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to […]

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  • Octave not only for programmers Training Course

    Overview Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would […]

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  • From Zero to AI Training Course

    Overview This course is created for people who have no previous experience in probability and statistics. Requirements None. All concepts like probability and statistics will be explained during this course. If you are already familiar with probability and statistics, please refer to our course code aiint. Course Outline Probability (3.5h) Definition of probability Binomial distribution Everyday […]

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  • Artificial Neural Networks, Machine Learning, Deep Thinking Training Course

    Overview Artificial Neural Network is a computational data model used in the development of Artificial Intelligence (AI) systems capable of performing “intelligent” tasks. Neural Networks are commonly used in Machine Learning (ML) applications, which are themselves one implementation of AI. Deep Learning is a subset of ML. Requirements Good understanding of mathematics. Good understanding of […]

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  • Applied Machine Learning Training Course

    Overview This training course is for people that would like to apply Machine Learning in practical applications. Audience This course is for data scientists and statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course is on the practical aspects of […]

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  • Neural Network in R Training Course

    Overview This course is an introduction to applying neural networks in real world problems using R-project software. Requirements Programming in any programming language recommended . Course Outline Introduction to Neural Networks What are Neural Networks What is current status in applying neural networks Neural Networks vs regression models Supervised and Unsupervised learning Overview of packages […]

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  • Introduction to the use of neural networks Training Course

    Overview The training is aimed at people who want to learn the basics of neural networks and their applications. Course Outline The Basics Whether computers can think of? Imperative and declarative approach to solving problems Purpose Bedan on artificial intelligence The definition of artificial intelligence. Turing test. Other determinants The development of the concept of […]

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  • AI and Robotics for Nuclear Training Course

    Overview Robotics and Artificial Intelligence (AI) are powerful tools for the development of safety systems in nuclear facilities. In this instructor-led, live training (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week […]

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  • Artificial Intelligence (AI) for Managers Training Course

    Overview Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think and act like humans. It covers a variety of technologies, such as machine learning and deep learning, and is used for various business and corporate applications to solve organizational challenges and needs. This instructor-led, live training (online or […]

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