Now, we are excited to announce Domino Data Lab's scores in the 2024 Gartner Critical Capabilities for Data Science and Machine Learning Platforms, Machine Learning Engineering ..read more

Domino Flows unlocks the power of AI and machine learning flows, transforming them into a critical element of your ..read more

The 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms Report names Domino a Visionary. Gartner defines Visionary vendors as those who understand where the market is going or have a vision for changing market rules, but do not yet execute well ..read more

If the mention of "Transformers" brings to mind the adventures of autonomous robots in disguise you are probably, like me, a child of the 80s: Playing with Cybertronians who blend in as trucks, planes and even microcasette recorders or dinosaurs. As much as I would like to talk about that kind of transformers, the subject of this blog post is about the transformers proposed by Vaswani and team in the 2017 paper titled " " . We will be covering what transformers are and how the idea of self-attention works. This will help us understand why transformers are taking over the world of machine learn ..read more

A common applied statistics task involves building regression models to characterize non-linear relationships between variables. It is possible to fit such models by assuming a particular non-linear functional form, such as a sinusoidal, exponential, or polynomial function, to describe one variable's response to the variation in another. Unless this relationship is obvious from the outset, however, it involves possibly extensive procedures to ensure the most appropriate model is retained. Alternatively, a non-parametric approach can be adopted by defining a set of knots across the variable spa ..read more

In this article, we will introduce and implement k-nearest neighbours (KNN) as one of the supervised machine learning algorithms. KNN is utilised to solve classification and regression problems. We will provide sufficient background and demonstrate the utility of KNN in solving a classification problem in Python using a freely available dataset ..read more

True reproducibility means anyone can return to a point in time — anywhere in the AI/ML lifecycle — and see how a model was built and understand its purpose and KPIs. Yet, most AI models are built outside of controlled environments and systems of record. solve this by automatically unifying and capturing all model provenance and all artifacts across teams, users, tools, and environments without manual detective work, which can produce mixed results ..read more

True reproducibility means anyone can return to a point in time — anywhere in the AI/ML lifecycle — and see how a model was built and understand its purpose and KPIs. Yet, most AI models are built outside of controlled environments and systems of record. solve this by automatically unifying and capturing all model provenance and all artifacts across teams, users, tools, and environments without manual detective work, which can produce mixed results ..read more

See how NVIDIA's RAPIDS v23.10 revolutionizes AI workloads with GPU-accelerated Pandas on Domino, offering massive speed boosts and data handling efficiency ..read more

A picture is worth 1000 words, so let's get right into exploring Domino Code Assist (DCA).  As I ..read more