Machine Learning with Scala
About Machine Learning with Scala
Scala is a functional programming language. More robust than imperative or object programming, it is a potent programming notion. Scala is not fully functional, preferring to occupy a middle ground between the two. Scala's extensive functional libraries for interacting with databases and creating scalable frameworks enable you to create robust data pipelines. To handle a vast amount of data, often known as Big Data, Scala may be used in combination with Apache Spark.
Why is Machine Learning with Scala important?
The excellent ML tool Scala is one that data scientists should understand. It's a terrific approach to deploy machine learning at scale while using straightforward high-level APIs. We'll try to estimate the cost of certain dwellings in the example below based on a number of factors.
Who should take the Machine Learning with Scala Exam?
- Those who already know how to program and are interested in learning Big Data Technologies.
- Developer
- ML Engineer
- Data Engineer
Machine Learning with Scala Certification Course Outline
- Why machine learning?
- Classification, Prediction, Optimization, and Regression
- Why Scala?
- Scala IDE Options
- Window scala set up
- MAC Os setup
- Scala programming
- Arithmetic and Numbers
- Values and Variables
- Flow Control
- For Loops
- While Loops
- Functions
- Booleans and Comparison Operators
- Strings and Basic Regex
- Spark data frames with scala
- Model evaluation