Machine Learning

Boosting Your Way to Success — Welcome, students, researchers, and everyone who’s ever gazed at a computer and thought, “I want to make you smarter!” Machine Learning (ML), a subset of artificial intelligence, is like teaching your computer to fish rather than just giving it a fish. Except replace ‘fish’ with ‘problem-solving capabilities’. Fun analogy, isn’t…

The art of finding the right topic—and the right scope—for data science and ML projects — What is it that makes a data science project stand out? At a time when job applicants are expected to have shiny portfolio sites and when data teams need to demonstrate their business value on an ongoing basis, the question has rarely been more crucial. Technical ability is a major…

AI trading has gained significant popularity in recent years, with advancements in natural language processing and machine learning. ChatGPT, a state-of-the-art language model, can be harnessed to generate trading signals and assist in making trading decisions. In this blog, we will explore how to perform AI trading using ChatGPT models…

General Objectives & Results: Our primary objective is to enhance the effectiveness of Bayesian Optimisation (BO) by leveraging meta-learning to transfer knowledge across different problem domains, thereby significantly improving sample efficiency. In pursuit of this goal, we introduce the Neural Acquisition Process (NAP), an innovative end-to-end architecture based on Transformer models designed explicitly for…

Some advice to use ChatGPT to learn to program while actually learning it — If you’d like to start to program but you’re afraid AI will steal your job, then this article is definitely for you. Especially if you’re thinking about changing your career to become a Software Engineer or a Data Professional, I really feel how uncomfortable you are right now. I started…

Improving machine learning models’ performance with hyperparameter optimization. — Hyperopt is an open-source hyperparameter optimization tool that I personally use to improve my machine learning projects and have found it to be quite easy to implement. Hyperparameter optimization, is the process of identifying the best combination of hyperparameters for a machine learning model to satisfy an objective function (this…

There are no error messages — that’s what makes them subtle — Learn to avoid the six most serious mistakes related to machine learning theory that beginners often make through Sklearn. Often, Sklearn throws big red error messages and warnings when you make a mistake. …

Things we learned building an MLOps platform with limited means at DPG Media in the Netherlands — Deploying a machine learning model once is a straightforward task; repeatedly bringing machine learning models into production is much harder. To address this complex process, the concept of MLOps (Machine Learning Operations) emerged. MLOps represents the convergence of DevOps, machine learning, and software engineering practices. There are several nuances needed…

This weekend I participated in a 12-hour hackathon through the San Francisco Bay Area MLOps Community with sponsorship from Redis, RelevanceAI, and EssenceVC. This was my second-ever hackathon, and the first one I’ve attended through the MLOps Community. …