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 6
Other Scala Frameworks for Machine Learning
Content Locked
Section 2
A Multi-threaded K-Nearest Neighbors Implementation with Akka
We will introduce the problem of how to implement the k-nearest neighbor algorithm in a multi-threaded fashion with Akka. - Remind the viewer of the k-nearest neighbor algorithm and how it works in the original single-threaded version. - Show the viewer how the algorithm can be implemented in a multi-threaded way and how it is beneficial. - Actually implement this multi-threaded version in Akka.