We use sentiment analysis to gain insights into a target audience’s feelings about a particular topic. Here are the basics of sentiment analysis types and techniques.
An ensemble model combines multiple machine learning models to improve prediction accuracy, outperforming a single model. Here’s how and when to use ensemble techniques for your machine learning models.
The Dirichlet distribution is a multivariate probability distribution that models vectors of non-negative values summing to one, commonly used as a prior for categorical and multinomial variables in Bayesian statistics.
OpenAI’s GPT-5 was announced to soaring hype but fell short of the revolutionary leap many expected. Here’s what went wrong and why GPT-5 still represents a step forward for AI.
Automating marketing workflows with bottlenecks and unclear objectives is only going to produce more of the same. Here’s how to adopt an effective AI marketing strategy.
While generative AI continues to evolve, robotics remains stuck in the past. Our expert examines what needs to change and how vision-language-action models can help.
While AI promises immediate efficiency gains, over time, shadow costs like technical debt, diffuse objectives and infrastructure spend can drain its productivity. Here’s how to prevent it.
