Machine Learning with Scala
Machine Learning with Scala. Explore the most innovative and cutting edge machine learning techniques with Scala
The name of this course is Machine Learning with Scala. The knowledge you will get with this indescribable online course is astonishing. Explore the most innovative and cutting edge machine learning techniques with Scala.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Packt Publishing, one of the very best experts in this field.
Description of this course: Machine Learning with Scala
Course Description 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. The course starts with a normal 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. By the end, you will be comfortable applying machine learning algorithms to solve real-world problems using Scala. About The Author Alex Minnaar is a machine learning engineer working in San Francisco, California. Alex holds an Msc in Machine Learning from University College London and a BSc in Mathematics from Queen’s University. Alex has professional experience working with Scala and technologies such as Spark, Akka, and Kafka and a particular interest in natural language processing applications.
Requirements of this course: Machine Learning with Scala
What are the requirements? Prior knowledge of one of the JVM languages and basic knowledge in math and statistics is required.
What will you learn in this course: Machine Learning with Scala?
What am I going to get from this course? Write Scala code implementing neural network models for prediction and clustering Plot and analyze the structure of datasets with exploratory data analysis techniques using Scala Use new and popular Scala frameworks such as Akka and Spark to implement machine learning algorithms and Scala libraries such as Breeze for numerical computing and plotting Get to grips with the most popular machine learning algorithms used in the areas of regression, classification, clustering, dimensionality reduction, and neural networks Use the power of MLlib libraries to implement machine learning with Spark Work with the k-means algorithm and implement it in Scala with the actual datasets Get to know what dimensionality reduction is and explore the theory behind how the PCA algorithm works Analyze and implement linear regression and GLMs in Scala and run them on actual datasets Use the Naive bayes algorithms and its methods to predict the probability of different classes based on various attributes
Target audience of this course: Machine Learning with Scala
Who is the target audience? This course is for those who wish to make sense of their complex data and get hidden insights from it. If you want to build smarter, more accurate Scala applications, this course is for you.