Recent Advances in Structural Learning for Graphical Models

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Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Data Visualization: Techniques, Tools & Concepts

Covers data visualization techniques, tools, and concepts for effective data representation.

Understanding Data Analysis

Covers the fundamentals of data analysis, statistical methods, and practical applications.

Digital History and Digitized Press

Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.

Understanding Big Data in Neuroscience

Delves into Big Data in neuroscience, analyzing large datasets and addressing challenges in data organization, standardization, integration, and visualization.

Introduction to Renku

Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.

Gaussian Naive Bayes & K-NN

Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.

Viscous Beads Flowing Down a Vertical Fibre

Delves into the dynamics of fluid flowing down a vertical fibre, forming droplets under gravity and exhibiting various flow regimes.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.

Total scattering and PDF analysis

Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.