The curse of dimensionality is a problem where high-dimensional spaces become sparse and harder for models to learn from reliably. As the number of features grows, the data space expands ...
The curse of dimensionality is a problem where high-dimensional spaces become sparse and harder for models to learn from reliably. As the number of features grows, the data space expands Read article →
An AI agent is an artificial intelligence system that can pursue a goal, make decisions, use tools and perform actions on behalf of a user or another system. Unlike a ...
An AI agent is an artificial intelligence system that can pursue a goal, make decisions, use tools and perform actions on behalf of a user or another system. Unlike a Read article →
Drift is a change in data distribution or relationships over time. In machine learning and AI systems, drift means that the data, environment, user behaviour or target relationship changes after ...
Drift is a change in data distribution or relationships over time. In machine learning and AI systems, drift means that the data, environment, user behaviour or target relationship changes after Read article →
PCA, short for principal component analysis, is one of the best-known dimensionality reduction methods. It is often used with numerical data to reduce the number of variables while preserving a ...
PCA, short for principal component analysis, is one of the best-known dimensionality reduction methods. It is often used with numerical data to reduce the number of variables while preserving a Read article →
Agentic AI is a broader category of artificial intelligence systems focused on goal-driven action and autonomy. Instead of only responding to a single prompt, agentic AI systems can plan steps, ...
Agentic AI is a broader category of artificial intelligence systems focused on goal-driven action and autonomy. Instead of only responding to a single prompt, agentic AI systems can plan steps, Read article →
Exploration means trying new or uncertain actions to collect more information. In reinforcement learning, it helps an agent discover better strategies instead of only repeating the action that currently looks ...
Exploration means trying new or uncertain actions to collect more information. In reinforcement learning, it helps an agent discover better strategies instead of only repeating the action that currently looks Read article →
An agent is the learning system that acts in an environment and receives feedback. In reinforcement learning, the agent observes the current situation, chooses an action, receives a reward or ...
An agent is the learning system that acts in an environment and receives feedback. In reinforcement learning, the agent observes the current situation, chooses an action, receives a reward or Read article →
Dimensionality reduction is a process in which data with a large number of variables is transformed into a simpler form with fewer dimensions. The goal is not to make the ...
Dimensionality reduction is a process in which data with a large number of variables is transformed into a simpler form with fewer dimensions. The goal is not to make the Read article →
Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but ...
Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but Read article →
Hierarchical clustering is a clustering method that creates a tree-like structure of groups. Instead of producing only one fixed set of clusters, it shows how observations can be grouped at ...
Hierarchical clustering is a clustering method that creates a tree-like structure of groups. Instead of producing only one fixed set of clusters, it shows how observations can be grouped at Read article →
Hi, my name is Michal Krčmář. I am digital entrepreneur currently based in Prague (Czechia). I’ve been working on websites and delivering online marketing campaigns as a commercially-focused freelancer since 2006 for big prestigious brands, worked in-house for many years as consultant, manager or director and run several own startups. I founded/co-founded several companies with annual turnaround around 10+ mio USD. When I am not actually working on my business I try to constantly pass on my broad experience through seminars and online training, I also organize company trainings and workshops.
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