Industry 4.0 is transforming manufacturing by integrating technologies like IoT, AI, and big data analytics. These advancements are creating smarter and more efficient production processes. A key contributor to this revolution is the data scientist, who turns complex data into actionable insights for the factory floor. In this blog post, we explore how data scientists […]

Proximal Policy Optimization (PPO) is a reinforcement learning algorithm that has gained widespread use due to its efficiency, stability, and simplicity. It was introduced by OpenAI in 2017 as an improvement over earlier policy optimization methods like Trust Region Policy Optimization (TRPO). In reinforcement learning, the goal is for an agent to learn how to […]

Decision science is a multidisciplinary field focused on improving decision-making processes through the application of data, models, and technology. It bridges the gap between complex problems and actionable solutions by blending elements of mathematics, statistics, computer science, and behavioral sciences. At its core, decision science is about helping individuals, organizations, and governments make better choices […]

System simulation lets us study and optimize systems by modeling their behavior in a virtual environment. Python, with its simplicity and versatility, makes it an excellent choice for creating simulations. Whether you’re building your own tools from scratch or leveraging libraries, Python has something to offer for every level of expertise. Simulating Without Libraries If […]

Operations Research (OR) represents the scientific foundation of modern decision-making methods. Born from military needs in the 1940s, OR introduced mathematical modeling, optimization techniques, and statistical analysis to solve complex operational problems. OR specialists develop algorithms and mathematical models to maximize efficiency, minimize costs, and optimize resource allocation. When a shipping company determines the most […]