Get Scala for Machine Learning PDF

About This Book

• Explore a huge number of information processing, laptop studying, and genetic algorithms via diagrams, mathematical formula, and resource code
• Leverage your services in Scala programming to create and customise AI purposes along with your personal scalable desktop studying algorithms
• Experiment with assorted innovations, and overview their merits and boundaries utilizing real-world monetary functions, in an educational style

Who This booklet Is For

Are you interested in AI? All you would like is an effective knowing of the Scala programming language, a easy wisdom of information, a prepared curiosity in huge information processing, and this book!

What you'll Learn

• Build dynamic workflows for clinical computing
• Leverage open resource libraries to extract styles from time series
• Write your personal class, clustering, or evolutionary algorithm
• Perform relative functionality tuning and assessment of Spark
• Master probabilistic versions for sequential data
• Experiment with complicated thoughts equivalent to regularization and kernelization
• Solve mammoth info issues of Scala parallel collections, Akka actors, and Apache Spark clusters
• Apply key studying suggestions to a technical research of monetary markets

In Detail

The discovery of knowledge via info clustering and class is turning into a key differentiator for aggressive agencies. laptop studying purposes are far and wide, from self-driving autos, engineering designs, biometrics, and buying and selling thoughts, to detection of genetic anomalies.

The booklet starts with an creation to the useful services of the Scala programming language which are severe to the construction of desktop studying algorithms similar to dependency injection and implicits.

Next, you are going to know about info preprocessing and filtering ideas. Following this, you are going to flow directly to clustering and measurement aid, Naïve Bayes, regression types, sequential facts, regularization and kernelization, help vector machines, neural networks, general algorithms, and re-enforcement studying. A overview of the Akka framework and Apache Spark clusters concludes the tutorial.