
PubMed.gov
Google Scholar
SCI-HUB
arXiv
Zotero
Springer Link
Mendeley
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Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
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WEKA
htm.java
PubMed.gov
Scikit-learnBased on our record, PubMed.gov seems to be a lot more popular than Scikit-learn. While we know about 592 links to PubMed.gov, we've tracked only 40 mentions of Scikit-learn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I've read online that "Bacopa Monnieri" is a particularly strong and researched herbal supplement for cognitive maintenance, enhancement and neuroprotection, with the potential of supporting neurogenesis. I've not tried that stuff since money is hard to come by these days. There have been a few human studies. You can find more info here: https://pubmed.ncbi.nlm.nih.gov/?term=bacopa+monnieri+cognition and here:... - Source: Hacker News / 2 months ago
Https://pubmed.ncbi.nlm.nih.gov/?term=IQ Yes, crickets. - Source: Hacker News / 4 months ago
Import requests From bs4 import BeautifulSoup Def fetch_pubmed_abstracts(query, max_results=10): base_url = f"https://pubmed.ncbi.nlm.nih.gov/?term={query}" response = requests.get(base_url) soup = BeautifulSoup(response.text, 'html.parser') links = [f"https://pubmed.ncbi.nlm.nih.gov{a['href']}" for a in soup.select('.docsum-title', limit=max_results)] abstracts = [] for link in links: ... - Source: dev.to / 6 months ago
I'll respond to the sibling poster with the same contentโyes, DKA won't cause coma as quickly as insulin overdose but it can indeed come on acutely and it absolutely does kill people. I'm a bit frustrated by the number of people on this page who are saying that high BG readings aren't an emergency; the timeline to death isn't weeks or months or 'next time I get to urgent care' but instead 'later today' or 'early... - Source: Hacker News / 7 months ago
You could follow the NIH news feed that contains some of what gets funded but its actually quite difficult given the various institutions all over the world that all fund studies including charities and the universities themselves. On an individual topic with time you could learn who most of the major players are and follow their news but its unique to every topic. The potentially easier way at least to get a lay... - Source: Hacker News / 8 months ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
Google Scholar - Google Scholar is a freely accessible web search engine that indexes the full text of scholarly...
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
SCI-HUB - It provides mass and public access to tens of millions of research papers
NumPy - NumPy is the fundamental package for scientific computing with Python
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
OpenCV - OpenCV is the world's biggest computer vision library