Probabilistic modelling often leads to a practical challenge: you can write down a complex joint probability distribution, but you cannot directly sample from it or compute exact expectations. This happens frequently in Bayesian inference, where the posterior distribution is proportional …
Technology
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Technology
Inferential Statistics and Confidence Interval Estimation: Making Sense of Uncertainty
by Joeby JoeInferential statistics helps us draw conclusions about a large population by analysing a smaller sample. In real projects, you rarely get complete population data. Instead, you estimate a population parameter, such as a mean, proportion, or difference between groups, using …
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Technology
Benchmarking Metrics for Complex Agentic Workflows: How to Measure Multi-Step Autonomous Systems Reliably
by Joeby JoeAgentic workflows are no longer limited to simple chat responses. Many modern systems plan tasks, call tools, retrieve data, write code, and iterate through multiple steps to reach a goal. These multi-step, tool-using agents can be powerful, but they are …
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Technology
Robotics: Inverse Kinematics Problem: Calculating the joint angles required to achieve a desired position and orientation for the robot’s end-effector.
by Joeby JoeRobotic arms look effortless when they pick, place, weld, or assemble. Under the hood, however, the robot must continuously answer a precise geometric question: what joint angles will place the tool exactly where I want it, in the pose I …
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Automation has steadily transformed many professional domains, from manufacturing to customer support. Data science, once seen as a highly manual and research-intensive field, is now experiencing a similar shift. With the rise of AutoML platforms, low-code tools, and AI-driven analytics …