Data Science

New data science tools and state-of-the-art models make a splash on a daily basis, but Python, for all its frequently cited shortcomings (speed, anyone?), remains one of the main unifiers of data and ML practitioners around the world. Scroll down the TDS homepage on any given day, and you’ll find…

Wix Engineering’s meetups focus on deep technical insights, whether it’s front-end, back-end, mobile, testing, or anything in between. This time we focused on AI, Generative AI and Data Science at Wix. All the talks are now available here: Platformized Semantic Search — Lior Sidi Semantic search unlocks the power of…

If you feel daily standups are not helpful for your data science team, you might be right — One of the most common meetings or rituals for an agile team is the daily standup. It is usually short (max. 15 minutes), happens mostly at the same time of the day, and is mandatory for every team member to join. In theory, this meeting can be a great way…

Shortest Path, Traveling Salesman Problem, Vehicle Routing Problem, Plotting Maps and Animations — In this article, I will use Python to address the following problem: what is the optimal route for 1 or more vehicles in order to deliver to a set of customers?

In today’s recreational coding exercise, we learn a more advanced and robust Monte Carlo approach for model parameter fitting, which also allows us to calculate the Bayesian evidence of a model and perform model selection. Previously, we have implemented the simple Metropolis-Hastings MCMC algorithm, and I highly recommend checking out…

One of the coolest methods I have learned from Matoplotlib. — Introduction Data visualization is very important. We could develop a lot just from this sentence, but I believe you already got the “picture”. I am sure this is not the first time you hear this. And even if it is, I still assume it’s not a surprise, right? A plot is…

The NYU AI School returned with its fourth iteration this summer, May 31 — June 4, 2023. The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute. It includes hands-on labs…

A process of prompt engineering, software engineering, trial and error, and elbow grease — Unlike tabular data, datasets for computer vision tasks are unstructured — think gobs of pixels, heaps of labels, bags of tags, and some sometimes-structured metadata. …

There is much more than star or snowflake schema when we talk about data modelling — Followed by the immense amount of reader on my post about dimensional data modelling, I realised that more people than I expected undervaluate this topic. …