Online or onsite, instructor-led live Scala training courses in Kuala Lumpur.
Kuala Lumpur KL Sentral
1 Sentral, Level 16, Jalan , Kuala Lumpur, malaysia, 50470
The 1 Sentral Centre is located in the northwest corner of Kuala Lumpur Sentral, a prime location in the heart of the city. A...
The 1 Sentral Centre is located in the northwest corner of Kuala Lumpur Sentral, a prime location in the heart of the city. Although 1 Sentral is just outside the central business district, Kuala Lumpur Sentral is known as a transportation hub and as one of the designated Multimedia Supercorridor (MSC) locations. A Government designated zone, the MSC is designed to leapfrog Malaysia into the information and knowledge age. The zone aims to attract companies with tax breaks and facilities such as high speed internet and proximity to the local international airport. 1 Sentral is a 30-storey office tower covering an acre and is equipped with facilities such as mini auditorium, gymnasium and recreational area. Its architecture has integrated a variety of design techniques that make it eco-friendly and aesthetically-pleasing. Restaurants, top hotels and shopping centres are all within a five- to 10-minute walk from the centre
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 Kuala Lumpur (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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