You can rent 3 meeting rooms and an indoor terrace in VORK. Coffee, tea and water are always available. Everything is there t...
You can rent 3 meeting rooms and an indoor terrace in VORK. Coffee, tea and water are always available. Everything is there to prepare the meeting rooms yourself.
Would you like a sandwich lunch? Or would you like to combine your meeting with a lunch in the restaurant? It's all possible in VORK!
Everything is available to prepare the meeting rooms yourself. Possibility of lunch (e.g. soup, sandwiches, etc.) or dinner in the restaurant after consultation with the restaurant manager.
Additional facilities: clickshare available, video conference option.
VORK is centrally located in the city and is therefore easily accessible on foot, by bicycle or by public transport. If you come by car, you can park underground or above ground at the following locations:
Underground: Schouwburg parking, Veemarkt parking, K in Kortrijk, Budabrug parking, Houtmarkt parking
Above ground: Station (Conservatoriumplein), Broeltorens (Ijzerkaai), Harbor (Botenkopersstraat), Kortrijk Weide (Nelson Mandelaplein).
The first hour is always free! If you park for longer than one hour, you will have to pay (from €1).
You can also park your car for free at Parking Expo (P+R) and take a free bus from De Lijn to the center. Redeem ticket with the bus driver: free parking + return ticket to the city center.
More information at www.parko.be
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 make data modeling decisions, interpret the outputs of the algorithms and validate the results.
Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.
Scala is a concise, object-oriented language with functional programming features, including currying, type inference, immutability, lazy evaluation, and pattern matching. Scala code runs on a JVM and was designed to address some of the shortcomings of Java.
In this instructor-led, live training participants will learn how to use Scala's advanced features, including its type system, to write better code using an object-functional approach.
By the end of this training, participants will be able to:
Leverage Scala's type system to maximum benefit
Handle exceptions functionally
Create libraries and DSLs with Scala
Use Scala's advanced features for pattern matching
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Scala is a concise, object-oriented language with functional programming features, including currying, type inference, immutability, lazy evaluation, and pattern matching.
In this instructor-led, live training participants will learn how to use Scala's advanced features to develop well-constructed software that is easy to write, read, test, and change. The focus of this training is on functional programming, using real-world case studies and discussion as a reference for lab exercises and activities.
By the end of this training, participants will be able to:
This training outline is intended to bring attendees from a beginner to an intermediate/advanced level in the understanding and knowledge of the Akka framework.
The entire course is hands on, mostly driven by the trainer in the beginning and progressively shifting towards the attendees producing code themselves (and downloading implementations/solutions written by the trainer).
Attendees are not expected to have prior knowledge of Scala, the trainer will take the necessary time to explain and clarify all the intricacies that relate to the Scala code used.
This instructor-led, live training in Kortrijk (online or onsite) is aimed at software engineers who wish to stream big data with Spark Streaming and Scala.
By the end of this training, participants will be able to:
Create Spark applications with the Scala programming language.
Use Spark Streaming to process continuous streams of data.
Process streams of real-time data with Spark Streaming.
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