Machine Learning Fundamentals with Scala and Apache Spark Treningskurs

Kurskode

mlfsas

Varighet

14 timer (vanligvis 2 dag inkludert pauser)

Krav

Knowledge of Java/Scala programming language. Basic familiarity with statistics and linear algebra is recommended.

Oversikt

Målet med dette kurset er å gi en grunnleggende ferdighet i å anvende Machine Learning metoder i praksis. Gjennom bruk av programmeringsspråket Scala og dets forskjellige biblioteker, og basert på en rekke praktiske eksempler, lærer dette kurset hvordan man bruker de viktigste byggesteinene i Machine Learning , hvordan man tar beslutninger om datamodellering, tolker utgangene til algoritmene og validerer resultatene.

Målet vårt er å gi deg ferdighetene til å forstå og bruke de mest grunnleggende verktøyene fra verktøykassen Machine Learning sikkerhet og unngå vanlige fallgruver i Data Science applikasjoner.

Machine Translated

Kursplan

Introduction to Applied Machine Learning

  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

Machine Learning with Scala

  • Choice of libraries
  • Add-on tools

Regression

  • Linear regression
  • Generalizations and Nonlinearity
  • Exercises

Classification

  • Bayesian refresher
  • Naive Bayes
  • Logistic regression
  • K-Nearest neighbors
  • Exercises

Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Exercises

Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

Testimonials

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