Data Science Dojo

OCTOBER 10, 2023

Learning from real-world applications : Who doesn’t want to revolutionize their manufacturing process by integrating AI, a strategy learned from a case study at an AI conference. Sharpening your axe : We come across people often who transitioned from a traditional IT role into an AI specialist?

AI 243

AI AI Data Observability Artificial Intelligence 243

ODSC - Open Data Science

JANUARY 9, 2024

Data Engineering for Large Language Models LLMs are artificial intelligence models that are trained on massive datasets of text and code. They are used for a variety of tasks, such as natural language processing, machine translation, and summarization.

Data Engineering 97

Data Engineering Data Engineer Data Engineering Data Engineering 97

IBM Journey to AI blog

JUNE 5, 2024

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. AI and ML algorithms enhance these features by processing unique app data more efficiently.

Analytics 94

Analytics Analytics AI AI 94

Heartbeat

MAY 30, 2023

It provides sensory data (observations) and rewards to the agent, and the agent acts in the environment based on its policy. The agent is a machine learning algorithm that adapts to take actions in the environment that optimize its total reward. The environment and the agent are the two main components of DRL.

Deep Learning 72

Deep Learning Deep Learning Machine Learning Machine Learning 72

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Mlearning.ai

JUNE 21, 2023

Hidden and Observed Variables The HMC comprises two types of variables: hidden (latent) variables and observed variables. Hidden variables represent the underlying states of the system, which are not directly observed but can be inferred from the observed data.

Data Scientist 52

Data Scientist Machine Learning Machine Learning ML 52