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Stanford CS230 Lecture 3 - Full-cycle deep learning projects
So we’re back with Andrew Ng in this lecture to go over, at a pretty high level, the steps and considerations of a complete Deep Learning project. Again, all of the materials come fr...
In May 16, 2019Stanford CS230 Lecture 2 - Deep Learning Intuition
Now we’re getting into the meat of things. This lecture was taught by Kian Katanforoosh and dove into a set of examples of Deep Learning projects to discuss design considerations. I’l...
In May 08, 2019Stanford CS230 Lecture 1 - Introduction
Hi folks! I’m going to start a series documenting my progress through the Stanford CS230 course. The course is meant to go alongside the Coursera Deeplearning.ai materials, but right...
In May 01, 2019Using ROC curves for Classification
I’m thinking it might be good to start producing some kind of content aside from infrequent Github updates. To be honest, I use a lot of these concepts on a daily basis, but really d...
In Apr 01, 2019NLP Workshop at Data Science Salon
I’ll be running a workshop tomorrow (Feb 21st) at the Data Science Salon in Austin. Will be really interested, excited to chat with everyone during and after.
In Feb 20, 2019PyData Probabilistic Modelling Workshop video
Very late on the update, but the video for Matt and my workshop was posted on the PyData Youtube channel. Check out the rest of the materials on this post.
In Feb 10, 2019Recaps of 2018 conferences
I put together some summaries of some of the interesting talks I went to at PyData NYC and ODSC Europe. This was mostly to share with the engineering team at my office, but I thought...
In Dec 08, 2018Video of ODSC presentation on hierarchical modeling
Great news! I just uploaded a recording of my talk at ODSC Europe. Again, slides are available here.
In Nov 25, 2018Featured
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LLM Apps Part 5 - Even finer tuning - Quantization and LoRA
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LLM Apps Part 4 - Only the finest tuning
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LLM Apps Part 3 - RAGs to riches
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LLM technology for dermatology
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The Embiggening of NLP - Part 3 - Fine-tuning
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The Embiggening of NLP - Part 2 - LARGE Language Models
In LLM Intro Series, LLM, tutorials,