Image created with ChatGPT and Canva After completing a course and mastering the essentials of machine learning, it is time to start building machine learning models using real-world datasets. While accessing most real-world datasets can be expensive, platforms like Kaggle offer access to the latest datasets for free on a wide variety of machine learning tasks. In this blog, we will explore 5 free datasets that you can use to build a strong machine learning portfolio. By using these datasets, […]

Image by Author A loss function in machine learning is a mathematical formula that calculates the difference between the predicted output and the actual output of the model. The loss function is then used to slightly change the model weights and then check whether it has improved the model’s performance. The goal of machine learning algorithms is to minimize the loss function in order to make accurate predictions. In this blog, we will learn about the 5 most commonly used […]

Image generated by DALLE-3 If you’re reading this article, I assume you already know what machine learning is. But just for a quick refresher, it’s simply making computers smart enough to do jobs that humans used to do, for example, taking attendance using facial recognition. Anyway, moving on to our main discussion, I know there are a lot of resources available regarding ML, but the problem is finding the right and high-quality resources. I think we can all agree that […]

Image created by Author using Midjourney Introduction The process of deploying machine learning models is an important part of deploying AI technologies and systems to the real world. Unfortunately, the road to model deployment can be a tough one. The process of deployment is often characterized by challenges associated with taking a trained model — the culmination of a lengthy data-preparation and model-training process — to the world at-large, where it must continue to perform well. These challenges arise as […]

Image created by Author using Midjourney Introduction Imperfect data is the norm rather than the exception in machine learning. Comparably common is the binary class imbalance when the classes in a trained data remains majority/minority class, or is moderately skewed. Imbalanced data can undermine a machine learning model by producing model selection biases. Therefore in the interest of model performance and equitable representation, solving the problem of imbalanced data during training and evaluation is paramount. This article will define imbalanced […]

Image created by Author using Midjourney Introduction Large language models (LLMs) have become extremely prominent and useful for all sorts of tasks, but new users may find the large number of LLM tools and utilities intimidating. This article focuses on 5 of the available and widely-useful such tools, all of which are no-cost and created to help maturing minds take advantage of the wide variety of available language models: Transformers, LlamaIndex, Langchain, Ollama, and Llamafile. 1. Transformers One of the […]

Image created by Author using Midjourney Introduction Classification algorithms are at the heart of data science, helping us categorize and organize data into pre-defined classes. These algorithms are used in a wide array of applications, from spam detection and medical diagnosis to image recognition and customer profiling. It is for this reason that those new to data science must know about and understand these algorithms: they lay foundations for more advanced techniques and provide insight into how those data-driven decisions […]