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 1
The Akka Actor Model for Concurrency
The problem presented in this video is the concurrency problem. The solution to this problem is using the Akka actor model. - First we present the concurrency problem and the specific issues it can potentially create. - Then present the synchronous solution to the concurrency problem and mention the other problems that this "solution" creates. - Finally present asynchronous Akka actor model creation and explain why it is better than the synchronous solution.