En trend i industrien er at bedriftene i økende grad bruker ferdigproduserte maskinvarer som tilpasses gjennom programmering. Her vil du lære om "Industrial Internet of Things (IIoT) og hvordan bruke og programmere en mikrokontroller ved hjelp av Python.
Vi tilbyr kurs i Python-programmering av simulatorer - digital tvilling - for reguleringsteknikk. Simulatorer - digitale tvillinger i moderne ordbruk - kan være svært effektive verktøy for design, testing og opplæring innen reguleringsteknikk.
Learn how to write programs that analyze written language. The course will balance theoretical foundations with practical examples using the Python programming language. No prior experience with libraries such as NLTK or scikit-learn is required for this course.
Python for Data Analysts & Quants. Use Python and its statistical computing libraries to analyse and visualise your financial data and to gather some actionable insights.
Dette kurset vil gi deg en introduksjon til å bruke maskinlæring i Python
Dette kurset er ment som en introduksjon til Python som tar for seg grunnleggende prinsipper for programmering i Python, samt en introduksjon til moduler og objektorientert programmering
This popular, high–impact, and hands–on course on mastering advanced object–oriented design (OOD) and design patterns (primarily the “Gang of Four” design patterns) with agility is aimed at architects and developers of OO systems,
Every system has an architecture, whether accidental or intentional, and regardless of whether it was put in place by a nominated architect or whether it emerged from the decisions and discussions of a team.
Implementing AI - Deep Learning using TensorFlow and Keras
Deep Learning is a branch of machine learning that utilizes neural networks. But how does a neural network work, and how does deep learning solve machine learning problems?
Machine Learning and Functional Programming are both very hot topics these days: they are also both rather intimidating for the beginner. In this workshop, we´ll take a 100% hands-on approach, and learn practical ideas from Machine Learning, by tackling real-world problems and implementing solutions
In this workshop, you will be introduced to Machine Learning using Python. You will learn about the various libraries used in Python for machine learning, as well as the fundamental principles of some common machine learning algorithms.
Increasingly developers are relying on distributed architectures to solve the problems of scaling their applications and their development teams. But that means they now have to consider the problem of getting the parts of their systems to talk to each other.
This two day course is designed for developers who already know the fundamentals of Python. This course will get more "under the hood" and introduce the students to powerful tools and techniques that go beyond the basics.
This is an exam registration page to take any exam offered by SAS. You can take these exams at a SAS location or a SAS testing event. All exams offered can be found on the Pearson VUE web page. Candidates will select their exam upon arrival to the exam room.
This practice exam tests the same knowledge and skills as the SAS Base Programming for SAS 9 certification exam. This format of the questions on both exams is identical, and all topics on the pratice exam are proportionally weighted to match the certification exam.
This course is designed for programmers who need a solid foundation for programming in SAS in a condensed timeframe and who can learn at an accelerated pace.
This course is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation.
As a data scientist, programming is an important part of your day-to-day work. At the same time, you may have little formal training in software development. Are your valuable programs difficult to understand, modify, maintain, and share?