Tijekom treninga usvojiti ćete vještine i znanja potrebne za primjenu različitih pristupa te algoritama umjetne inteligencije i strojnog učenja za rješavanje poslovnih problema.

Osnovne informacije

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Moduli koji će se izvoditi

  • Identify AI and ML Solutions for Business Problems
  • Formulate a Machine Learning Problem
  • Select Approaches to Machine Learning
  • Collect Data
  • Transform Data Topic
  • Engineer Features
  • Work with Unstructured Data
  • Train a Machine Learning Model
  • Evaluate and Tune a Machine Learning Model
  • Build Regression Models Using Linear Algebra
  • Build Regularized Linear Regression Models
  • Build Iterative Linear Regression Models
  • Build Univariate Time Series Models
  • Build Multivariate Time Series Models
  • Train Binary Classification Models Using Logistic Regression
  • Train Binary Classification Models Using k-Nearest Neighbor
  • Train Multi-Class Classification Models
  • Evaluate Classification Models
  • Tune Classification Models
  • Build k-Means Clustering Models
  • Build Hierarchical Clustering Models
  • Build Decision Tree Models
  • Build Random Forest Models
  • Build SVM Models for Classification
  • Build SVM Models for Regression
  • Build Multi-Layer Perceptrons (MLP)
  • Build Convolutional Neural Networks (CNN)
  • Build Recurrent Neural Networks (RNN)
  • Deploy Machine Learning Models
  • Automate the Machine Learning Process with MLOps
  • Integrate Models into Machine Learning Systems
  • Secure Machine Learning Pipelines
  • Maintain Models in Production

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