Data Science
Generative AI Models Explained
Machine Learning, Explained
AI and Data Science Insights
AltexSoft PickWhat is Semi-Structured Data? Examples, Formats, and Characteristics
Data Warehouse Architecture: Layers, Components, and Schemas
Generative AI Models Explained
Machine Learning, Explained
Semi-Supervised Learning, Explained with Examples
What is Data Modeling? Types, Process, and Tools
Data Mining: The Process, Types, Techniques, Tools, and Best Practices
Data Engineering Concepts, Processes, and Tools
Language Models, Explained: How GPT and Other Models Work
Recommender Systems: Behind the Scenes of Machine Learning-Based Personalization
Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared
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Data Storage for Analytics and Machine Learning
How do you store data to make it useful? Simple! You put it in a database, or a data warehouse, or a lake, or a lakehouse. It may actually be complex, just a matter of questions you’re trying to answer with data.
Data Management in Travel: Why It’s So Hard
Travel businesses, whether they accept it or not, are, in fact, data businesses. Here, data sources are varied and decentralized, from online bookings to in-destination activities. Each source adds a fragment of the traveler’s journey, creating a patchwork of information that needs to be carefully pieced together. So how does data management in travel industry work?
How AI Image Generation Works
Generating something from a written prompt is difficult enough, but modern AI tools like DALL-E, Stable Diffusion, and Midjourney seem to be conquering that challenge. How do they do that?