As TÜBİTAK BİLGEM B3LAB, we held an online seminar on data science, artificial intelligence, machine learning and deep learning, within the scope of the dissemination work package of StorAIge European Union project. Many project partners from Turkey and European countries attended the seminar. In the seminar, Fatma Canan Pembe Muhtaroğlu and İsmail Bilgen, who work on the StorAIge project within B3LAB, took part as speakers.

The content of the seminar is as follows:

 Data Science:

  • Introduction to Data Science
  • Tools Used in Data Science
  • Data Science Project Lifecycle
  • Data Sources
  • Data Transformation and Analysis

Artificial Intelligence andMachine Learning

  • Introduction to Artificial Intelligence (Techniques, Use Cases)
  • Machine Learning Fundementals
  • Supervised / Unsupervised Learning
  • Reinforcement Learning
  • Clustering
  • Feature Extraction & Selection
  • Evaluation Metrics
  • Model Selection and Parameter Tuning


Deep Learning

  • Introduction to Deep Learning
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Deep Reinforcement Learning DRL)
  • Autoencoders (AEs)
  • Generative Adversarial Networks (GANs)
  • Boltzmann Machines(BMs)
  • Graph Neural Networks (GNNs)