In a previous post , we introduced the concept of zero-copy model loading . Zero-copy model loading involves keeping the weights of a machine learning model in shared memory so that different processes can load the model for inference instantly without copying data. #Featured-area-1 ...
Having your IDE on your laptop has a couple of advantages. You can use your favorite tools on your Desktop. One example is meld which only runs on Linux. It is a visual diff tool which I’m using when I’ve totally screwed up local git repository. You can manage multiply environments with venv...
W e are seeing prolific growth of AI models in all industries as more and more organizations are making use of AI to solve business problems in areas like human resources, customer service, marketing, consumer behaviour, fraud detection and finance. In the financial industry for example, where...
The Extract, Transform and Load pattern (ETL) is a classic in Data Engineering, but it’s still the most common and useful. An ETL can be helpful for all sorts of users: business analyst, developers, data scientists, and data engineers. All these different roles have different requirements and...
There’s been increased adoption of machine learning as more enterprises see it as a critical part of making data-driven business decisions. As more models move from prototyping to production, creating automated and governed machine learning workflows remains a big pain point. ...
Today’s top performing enterprises are achieving growth and revenue goals by being data driven and successfully adopting AI and ML technologies. While most organizations see the value in AI , developing organizational trust in the underlying data, models and process can be daunting....
In the previous two posts, we covered two historical figures in data science: W.E.B Du Bois and Valerie Thomas . In this penultimate post, I want to cover seven inspiring Black data scientists and AI creators that you should follow on Twitter and whose work I highly encourage following. ...
With the increasing usage of monitoring of Earth resources due to climate change, data scientists today regularly use satellite imagery to answer questions about land use, atmospheric conditions, and ocean life among other things. One of the pioneers in this use of data was retired NASA...
Getting to know Adeola Ogunkola Why did you join the data science community? My name is Adeola Ogunkola from Lagos Nigeria, a tech advocate/savvy individual. The reason why I joined the data science community is to learn and gain extensive knowledge from IBM and the community...
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Visualizing the Color Line: Du Bois and Data Storytelling in 1900 “The problem of the twentieth century is the problem of the color line.” — W.E.B. Du Bois, The Souls of Black Folk February is Black History Month in the United States. Here at the IBM Data Science Community,...