Book Image

Machine Learning with Scala [Video]

By : Alex Minnaar
Book Image

Machine Learning with Scala [Video]

By: Alex Minnaar

Overview of this book

<p>The ability to apply machine learning techniques to large datasets is becoming a highly sought-after skill in the world of technology. Scala can help you deliver key insights into your data—its unique capabilities as a language let you build sophisticated algorithms and statistical models. For this reason, machine learning and Scala fit together perfectly and knowledge of both would be beneficial for anyone entering the data science field.</p> <p>The course starts with a general introduction to the Scala programming language. From there, you’ll be introduced to several practical machine learning algorithms from the areas of exploratory data analysis. You’ll look at supervised learning machine learning models for prediction and classification tasks, and unsupervised learning techniques such as clustering and dimensionality reduction and neural networks.</p> <p>By the end, you will be comfortable applying machine learning algorithms to solve real-world problems using Scala.</p>
Table of Contents (6 chapters)
Chapter 1
Introduction to Scala
Content Locked
Section 2
Functional Combinators in Scala
In this video, we present the problem of how to manipulate Scala collections in a functional way. This includes simple tasks such as applying the same function to each element of a list, summing over a list, and so on. The solution to this problem is to use Scala's built-in functional combinators. - To explain how to manipulate Scala collections - To use functional combinators to solve the problem of manipulating Scala - Use combinators in Scala REPL