Attributes in different scales are common in Machine Learning projects. For example, a medical record dataset can include in the columns weight, height, and blood pressure. These attributes have different units of measure and vary in different intervals, making their comparison difficult. In these cases, we can apply a process called scaling to make this comparison easier. … Continue reading How to scale attributes with normalization and standartization
In this post, we discuss how big and complex projects are demotivating, and how we can overcome the demotivation building smaller and simpler projects.
In this post, we discuss what is the impostor syndrome and how can it be holding you back from your Machine Learning objectives.
Google Colab is the right tool to get started with data science. You don't need to install software, you have proper documentation, and you can share your work easily. Int this article, we list five reasons that make Google Colab the right tool for beginner data scientists.
In this article, we are going to learn how to create and explore the Frozen Lake environment using the Gym library, an open source project created by OpenAI used for reinforcement learning experiments. The Gym library defines a uniform interface for environments what makes the integration between algorithms and environment easier for developers. Among many … Continue reading Gym Tutorial: The Frozen Lake
In this post, we introduce Reinforcement Learning basic concepts using the Frozen Lake game example.
A brief introduction to reinforcement learning paradigm, from the perspective of game agents.