Blog: Machine Learning
Jesse Johnson: Bringing Together AI and Medical Research
In this interview, Jesse Johnson – a leading data science expert and the founder of the Merelogic consulting group – shares his thoughts about the challenges of AI analysis in biological research.
8 min read
Bias-Variance Tradeoff in Machine Learning.png)
The relationship between bias and variance is similar to overfitting and underfitting in machine learning. Learn how to achieve optimal model performance by keeping in mind the bias-variance tradeoff.
14 min read
Top 15 ML Libraries to Use in 2023
The number of open-source ML libraries is constantly increasing, but which ones should you use in your project? In this blog post, we present fifteen libraries to pay attention to in 2023.
15 min read
Multimodal Learning in ML
Multimodal learning is a machine learning technique that incorporates data from multiple modalities – ways of perceiving the world – to create models that have increased accuracy and better capabilities.
8 min read
Introduction to Generative AI
Generative AI has recently seen an incredible popularity surge. In this post, we take a closer look at what it is and how it works, as well as outline common use cases and perspectives for the future.
8 min read
K-Means Clustering in Machine Learning
K-means is an algorithm that can separate unlabeled data into a predetermined number of clusters. In this blog post, we look at its underlying principles, use cases, as well as benefits and limitations.
10 min read
Feature Engineering for Machine Learning
Feature engineering is the process of designing predictive models based on a carefully selected set of data. Read our step-by-step guide on how to introduce feature engineering into your model.
13 min read
Machine Learning Trends for 2023
Which are the trends in machine learning that will be relevant in 2023? Read our post to find out the answer.
7 min read
Stable Diffusion: Generating Images Out of Thin Air
Stable Diffusion is a free, open-source neural network for generating photorealistic and artistic images based on text-to-image and image-to-image diffusion models. Read our tips to start generating your own masterpieces in minutes.
10 min read
Support Vector Machine Algorithm
The support vector machine (SVM) algorithm is a machine learning algorithm widely used because of its high performance, flexibility, and efficiency. Learn more about it in our article.
9 min read
Data Warehouses vs. Data Lakes vs. Data Lakehouses
The most popular solutions for storing data today are data warehouses, data lakes, and data lakehouses. This post gives a detailed overview of these storage options and their pros and cons for specific purposes.
10 min read
K-Nearest Neighbors Algorithm for ML
The k-nearest neighbors (kNN) algorithm is a simple tool that can be used for a large number of real-world problems. In this article, we cover what kNN is, how it works, and how to implement it in machine learning projects.
11 min read