AI: Machine Learning Techniques with Scala

Enhance your marketability in the tech industry by gaining expertise in machine learning and Scala! These powerful tools allow you to extract valuable insights from large datasets and build sophisticated algorithms and statistical models. By learning both, you'll be able to tackle the complex problems that data science professionals encounter on a daily basis. With Scala's unique capabilities, you'll be able to take your machine learning skills to the next level and stand out in a competitive field. Don't miss this opportunity to give your career a boost – start learning machine learning and Scala today!

In this course, you'll learn

• 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 real 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 real datasets
• Use the Naive bayes algorithms and its methods to predict the probability of different classes based on various attributes

Start your journey to becoming a machine learning pro by learning Scala, the programming language that will help you implement advanced algorithms and models. This course begins with a general introduction to Scala, after which you'll dive into practical machine learning techniques, including supervised learning models for prediction and classification, and unsupervised techniques like clustering, dimensionality reduction, and neural networks. By the end of this course, you'll be able to confidently apply machine learning algorithms to solve real-world problems using Scala. Whether you're just starting out in data science or looking to expand your skillset, this course has something for you. Don't wait – start learning Scala and machine learning today!