Marthinusbaloyi

Émission de podcast sur le cloud computi

Science FR ↓ 6 episoder

Nom du Podcast :Cloud HorizonDescription du Podcast :Cloud Horizon est une émission de podcast consacrée au monde du cloud computing, des infrastructures numériques et des technologies modernes. Chaque épisode explore les services cloud, la cybersécurité, le stockage de données, l’intelligence artificielle, la virtualisation et les innovations qui transforment les entreprises et le quotidien numérique. Avec des analyses simples, des conseils pratiques et des discussions sur les tendances technologiques, ce podcast s’adresse aussi bien aux professionnels de l’informatique qu’aux passionnés de t...

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Forfatter

Marthinusbaloyi

Kategori

Science

Podcastens hjemmeside

www.spreaker.com

Seneste episode

2. jan. 2026

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Episoder

Premier enseignement sur le cloud 02.01.2026 52:00

Le premier enseignement fondamental du cloud computing est simple mais essentiel : le cloud n’est pas une technologie unique, mais un modèle de fourniture de services informatiques à la demande. Cela signifie que, plutôt que d’acheter et de gérer des serveurs physiques, les entreprises accèdent à des ressources informatiques (stockage, puissance de calcul, bases de données, logiciels) via Internet...

From Graph Nodes to Machine-Readable Knowledge 29.08.2020 37:34

This podcast explores how individual graph nodes can be transformed into meaningful vector representations through knowledge graph embeddings. It discusses embedding techniques, representation learning, link prediction, semantic similarity, and how these methods enable machines to understand and reason over connected data. Perfect for data scientists, machine learning engineers, AI researchers, an...

Embedding the Graph 12.06.2020 36:50

This podcast explores how individual graph nodes are transformed into dense vector representations through knowledge graph embeddings, enabling machines to better understand relationships within connected data. It discusses representation learning, embedding techniques, similarity computation, link prediction, and how these methods power modern AI applications. Perfect for data scientists, machine...

Java Meets Graphs 13.04.2019 13:45

This podcast explores the major updates and improvements introduced in Neo4j Java Driver 5.0 and how they enhance connectivity with graph databases. It discusses performance upgrades, API changes, session handling, asynchronous capabilities, and best practices for integrating Java applications with Neo4j. Perfect for Java developers, software engineers, and backend architects building scalable gra...

From Noise to Knowledge 24.04.2018 35:11

This podcast explores how transformer-based language models and clustering techniques can be used to resolve keyword ambiguity and improve the quality of knowledge graphs. It discusses entity resolution, semantic similarity, text embeddings, unsupervised learning, and methods for transforming noisy data into structured, reliable knowledge. Perfect for AI engineers, NLP practitioners, data scientis...

Introduction to the Async Python Driver 12.06.2017 14:07

This podcast explores the asynchronous Python driver for Neo4j and how it enables high-performance, non-blocking database interactions in modern applications.