AI

[ad_1] On a scale from 1 to 10 how good are your data ingestion skills?Photo by Blake Connally on UnsplashData ingestion is a crucial step in data engineering. Data engineers…

[ad_1] In the world of data and computer programs, the concept of Machine Learning might sound like a tough nut to crack, full of tricky math and complex ideas.This is…

[ad_1] Four Apache Airflow internals you might have missedImage generated via DALL-EI have been working with Airflow for more than three years now and overall, I am quite confident with…

[ad_1] Insights after two years in the industryExample of an encoder and a graph in the latent space (image by author)The scenario: a high-speed production line is producing thousands of…

[ad_1] If you have been experimenting with large language models (LLMs) for search and retrieval tasks, you have likely come across retrieval augmented generation (RAG) as a technique to add…

[ad_1] A dynamic approach to treatment personalizationIntroductionWhen To Use Contextual Bandits2.1. Contextual Bandit vs Multi-Armed Bandit vs A/B Testing2.2. Contextual Bandit vs Multiple MABs2.3. Contextual Bandit vs Multi-Step Reinforcement Learning2.4.…

[ad_1] Figure 1: OT network segmentation1 Statistics show that the number of Internet of Things (IoT) devices is expected to nearly double, from ~15 billion in 2020 to more than…

[ad_1] Image generated by MidjourneyAnd 5 ways to use it in data science and machine learning@property is my favorite decorator in Python. I have been using Python for many years…

[ad_1] Figure 1: Total number of vulnerability incidents reported to CVE  The number of cybersecurity vulnerabilities is rising, with 25,000+ incidents reported in 2022.1 Network security audits can assist companies…

[ad_1] Figure: Network visibility Companies now struggle to gain network visibility across increasingly complicated hybrid networks and cloud architecture, especially when combined with remote environments, since only ~35% of companies…