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Scala for machine learning ~ The multivariate normal sampling function is used in various machine learning techniques such as Markov chains Monte Carlo MCMC or contextual multiarmed bandit The implementation of the multivariate normal relies on data vectorization technique wellknown to Python developers and data scientists alike
Scala for Machine Learning Second Edition Build systems ~ The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits You start by learning data preprocessing and filtering techniques
Machine Learning with Scala Udemy ~ The ability to apply machine learning techniques to large datasets is becoming a highly soughtafter 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
Introduction to Machine Learning with Spark and MLlib ~ MLlib short for Machine Learning Library is Apache Spark’s machine learning library that provides us with Spark’s superb scalability and usability if you try to solve machine learning problems Under the hood MLlib uses Breeze for its linear algebra needs
Scala for Machine Learning Packt ~ Machine learning applications are everywhere from selfdriving cars engineering designs biometrics and trading strategies to detection of genetic anomalies The book begins with an introduction to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits
Scala and Spark for Big Data and Machine Learning Udemy ~ Scala and Spark for Big Data and Machine Learning 44 3919 ratings Course Ratings are calculated from individual students’ ratings and a variety of other signals like age of rating and reliability to ensure that they reflect course quality fairly and accurately Scala and Spark for Big Data and Machine Learning
Top 15 Scala Libraries for Data Science in 2018 ~ is an alternative machine learning toolkit that provides efficient solutions for deep learning It utilizes mathematical formulas to create complex dynamic neural
Data Science using Scala and Spark on Azure Team Data ~ Score Sparkbuilt machine learning models shows you how to use Scala code to automatically load and score new data sets with machine learning models built in Spark and saved in Azure Blob storage You can follow the instructions provided there and simply replace the Python code with Scala code in this article for automated consumption See also
MLlib Apache Spark ~ MLlib is Apache Sparks scalable machine learning library Ease of Use Usable in Java Scala Python and R MLlib fits into Sparks APIs and interoperates with NumPy in Python as of Spark 09 and R libraries as of Spark 15 You can use any Hadoop data source HDFS HBase or local files making it easy to plug into Hadoop workflows
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