Softlandia
Blogi
Julkaisut tagilla
#Data Science
Sovelletun tekoälyn insinöörien esiinmarssi ja tekoälyosaamisen muutos
Lue, miten sovelletun tekoälyn insinöörit yhdistävät tekoälyn tuoreimmat mahdollisuudet yritysten käyttötarpeisiin ja muokkaavat tekoälykehitystä.
Recap of the First Data Science Infrastructure Meetup
The first event focused on the tools and infrastructure that enable productive data science, machine learning and analytics projects.
Recap of the second data science meetup
Our second data science meetup of the year was held on 21.3.2023, and it was great!
Building NLP solutions: strategies and tools
Here we give a roadmap to creating an effective NLP service, and list some of our favourite tools.
Training tiny specialized language models
Here, we're demonstrating a new transformer architecture called MEGABYTE, and training it on a new interesting dataset called TinyStories, on a laptop!
Kuro umpeen tekoälykuilu Softlandian avulla
Tekoälyn kehitys kiihtyy kiihtymistään. Yritysten on sopeuduttava muutoksiin nopeasti, jos ne haluavat pysyä muiden edellä.
Real-time data processing in Python - technology evaluation
In this blog post, we take a look at stateful stream processing technologies for Python. All code is made available.
Metaflow in Practice
In this blog post, we'll show how to use Metaflow to write production-grade data science workflows.
Distributed Data Science with Metaflow and Dask
In this blog post, we’ll show how to progress with Metaflow when you want to start utilizing the cloud. We’ll use open source software in the Azure cloud to boost our productivity.
Scheduling data science workflows in Azure with Argo and Metaflow
In this blog post, we show how to automate data processing pipelines with Metaflow in Azure using Argo Workflows!
Series of free-of-charge meetups (hybrid) focusing on data science infrastructure - starting 24.1.2023
Learn from the best at our free data science infrastructure event!
Data Science on Azure with Metaflow
Metaflow is an open-source data science framework. How does it compare to Azure's data science tools?