Tips for Effective Feature Selection in Machine LearningImage by Author | Created on Canva When training a machine learning model, you may sometimes work with datasets with a large number of features. However, only a small subset of these features will actually be important for the model to make predictions. Which is why you need feature selection to identify these helpful features. This article covers useful tips for feature selection. We’ll not look at feature selection techniques in depth. But […]

5 Groundbreaking Applications of Reinforcement Learning in 2024Image by Editor | Ideogram Reinforcement Learning (RL) has emerged as a powerful paradigm in artificial intelligence, enabling machines to learn optimal behavior through interaction with their environment. In RL, an agent learns to make decisions by performing actions and receiving rewards or penalties, ultimately aiming to maximize cumulative rewards over time. This approach has led to remarkable advancements across various domains, from gaming to robotics. As we explore the developments in 2024, […]

5 Influential Machine Learning Papers You Should ReadImage by Editor | Ideogram In recent years, machine learning has experienced a profound transformation with the emergence of LLMs and new techniques that improved the domain’s state of the art. Most of these advancements have mainly been initially revealed in research papers, which have introduced new techniques while reshaping our understanding and approach to the domain. The number of papers has been explosive, so today let’s try to summarize 5 of the […]

Image by Editor | Ideogram As we progress through 2024, machine learning (ML) continues to evolve at a rapid pace. Python, with its rich ecosystem of libraries, remains at the forefront of ML development. In this post, we’ll explore the top 10 Python libraries dominating the ML scene in 2024, how the field has changed since 2020, and the key trends that have emerged. Evolution from 2020 to 2024 2020: The Foundation Years In 2020, established libraries like TensorFlow, PyTorch, […]

Everything You Need to Know About the Hugging Face Model Hub and CommunityImage by Editor | Ideogram Hugging Face has significantly contributed to the breakthrough of machine learning application technology, especially in the NLP field. They could contribute a lot because Hugging Face focuses on building a platform for the community to easily access models, tools, and datasets to the public. That’s why Hugging Face has become a place to contribute to and showcase many machine learning works. As the […]

Image by Author Learning by doing is the best way to master essential skills for becoming a machine learning engineer. Instead of just focusing on simple classification and regression models. In this blog, we will focus on advanced machine learning projects that will impact your resume and attract recruiters and hiring managers. We will learn about computer vision projects, speech recognition, stock price forecasting, fine-tuning Stable Diffusion and Llama 3, multi-step AI agent applications, and reinforcement learning. You will also […]

Image by Author We have all experienced it: starting is the toughest part of any journey. So getting started in the ML field wouldn’t be any different. This is why today I want to highlight some of the essential tools that every beginner — or person willing to get started — with ML should be using. Jupyter Notebook Jupyter Notebook is a blessing for any beginner willing to start to code professionally. It is an open-source web interface that allows […]

Image by Editor | Midjourney Machine learning (ML) has become a buzzword in recent years, with applications ranging from voice assistants to self-driving cars. Yet, for many, the inner workings of these technologies remain a mystery. Podcasts offer a great way to learn about this field without getting overwhelmed. They break down complex ideas into simpler terms and let you learn at your own pace. In this article, I will share 5 of my favorite ML podcasts, which excel at […]

Image by Author | Created on Canva As a machine learning engineer or a data scientist, you’ll likely need to work with time series data. Time series analysis focuses on data indexed by time, such as stock prices, temperature, and the like. If you’re already comfortable with machine learning fundamentals but new to time series, this guide will provide you with five actionable tips to get started. These tips will help you understand the aspects of time series data, preprocess […]

Image by Author | Created on Canva If you’re familiar with machine learning, you know that the training process allows the model to learn the optimal values for the parameters—or model coefficients—that characterize it. But machine learning models also have a set of hyperparameters whose values you should specify when training the model. So how do you find the optimal values for these hyperparameters? You can use hyperparameter tuning to find the best values for the hyperparameters. By systematically adjusting […]