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Slideshare Profile for Darrell Ulm - Computer Science Presentations

Explore Darrell Ulm's SlideShare profile, where you can find a curated collection of his bookmarked presentations. These resources cover a range of key technology areas, offering insights into Computer Science principles, the powerful data processing capabilities of Apache Spark, web development and content management with Drupal, and various methodologies and practices within Software Development.

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Threads profile for Darrell Ulm

I've recently taken the step of joining Threads as Darrell Ulm ( https://www.threads.com/@darrell_ulm ),  as I embark on a journey to relearn and expand my existing knowledge in areas like artificial intelligence. My current focus involves delving deeper into the intricacies of AI, particularly exploring the fascinating world of Large Language Models (LLMs) and understanding how these sophisticated models are developed and utilized. I'm also revisiting the fundamentals of Neural Networks, the core building blocks that enable AI systems to learn and make predictions. Given the computational demands of these fields, I'm also keen on extending the principles and applications I previously learned in parallel processing, which plays a crucial role in efficiently handling the complex computations involved in AI. Darrell R. Ulm

Python for Data Science

Looking at more resources online for Python for Data Science. There are many good resources available. Of course the main tools are:  Numpy ,  Pandas ,  MathPlotLib ,  SkiKit-Learn  has some amazing tools. Kaggle  for instance has Data Science contents, but good to install a local system like the  Jupyter Notebook  to speed things up as the Kaggle editor can lag and take some time to run on small data-sets. The newer  DataCamp  has some neat tutorials on it and simple App to do daily exercises on your mobile device. Here is the  Python DataScience Handbook . Really useful. A short tutorial:  Learn Python for Data Science , a fun read. A list of cool  DataSci tutorials is here , and another how to get started with  Python for DS . Will add more later.

ORCId for Research Publications

ORCid.org is an interesting researcher, research publication database (here for me, Darrell Ulm)  I've recently become aware of ORCID.org, which serves as an interesting database for researchers and their research publications. This tool seems to possess considerable potential, particularly in its ability to provide fine-grained control over how research outputs and other pertinent details are entered and managed. As a comprehensive research listing platform with numerous beneficial features, I find it surprising that I only encountered it recently..