Hacker News
Show HN: TechPeeker – Unveil Any Website's Tech Stack Instantly
Our platform is engineered to provide a comprehensive understanding of the tech stacks powering both emerging and established websites, catering to developers, digital marketers, and technology strategists seeking competitive intelligence and optimization insights.
Comments URL: https://news.ycombinator.com/item?id=39861984
Points: 1
# Comments: 0
Evolving New Foundation Models: Unleashing Power of Automating Model Development
Article URL: https://sakana.ai/evolutionary-model-merge/
Comments URL: https://news.ycombinator.com/item?id=39861953
Points: 1
# Comments: 0
The Biden Administration Benches Female Athletes
Article URL: https://www.city-journal.org/article/the-biden-administration-benches-female-athletes
Comments URL: https://news.ycombinator.com/item?id=39861949
Points: 2
# Comments: 0
Iterator Helpers
Article URL: https://v8.dev/features/iterator-helpers
Comments URL: https://news.ycombinator.com/item?id=39861945
Points: 1
# Comments: 0
Is reporting a nightmare for radiologists with default PACS viewers and tools?
Bootiful Spring Boot in 2024
Article URL: https://spring.io/blog/2024/03/11/bootiful-spring-boot-in-2024-part-1/
Comments URL: https://news.ycombinator.com/item?id=39861926
Points: 1
# Comments: 0
Mastering Data Patterns and Anomalies in Data Analysis
In today's data-driven landscape, organizations rely on data pattern analysis to extract valuable insights and drive strategic decisions. Understanding data patterns and anomalies is key to unlocking the full potential of your data. Understanding Data Patterns and Types Data patterns reveal recurring structures, relationships, and trends within datasets, guiding decision-making and predicting future outcomes. They come in various types: Descriptive Patterns: What happened? Diagnostic Patterns: Why did it happen? Predictive Patterns: What could happen in the future? Prescriptive Patterns: What can we do next? Identifying Patterns in Data Data pattern analysis involves techniques like data preprocessing, visualization, statistical methods, and machine learning. By leveraging these tools, organizations can uncover hidden insights and make data-driven decisions. Recognizing Anomalies in Data Data anomalies are irregularities that deviate from expected patterns and behaviors. They can be of three types: point anomalies, contextual anomalies, and collective anomalies. Techniques such as statistical methods, machine learning, and visualization are used to identify anomalies. No-code platforms like MarkovML can help discover anomalies in your data. Explore our full blog to learn how data pattern analysis can revolutionize your business. Discover real-world case studies, advanced techniques, and actionable insights. Click here to read about anomaly detection in financial transactions and unlock the full potential of your data. Read the Full Blog Now! - https://www.markovml.com/blog/data-analysis
#DataInsights #PatternAnalysis #PredictiveAnalytics #DataDrivenDecisions #AnomalyDetection #MachineLearning #StatisticalAnalysis #BusinessIntelligence #MarkovML #DataDrivenGrowth #DataScience #DataAnalysis
Comments URL: https://news.ycombinator.com/item?id=39861919
Points: 1
# Comments: 0
"I am gonna change the world over the next 50 years"–Jensen, Nvidia CEO, 2003
Article URL: https://twitter.com/brianroemmele/status/1773309634427621479
Comments URL: https://news.ycombinator.com/item?id=39861916
Points: 1
# Comments: 0
Controllable and Consistent Human Image Animation with 3D Parametric Guidance
Article URL: https://fudan-generative-vision.github.io/champ/#/
Comments URL: https://news.ycombinator.com/item?id=39861915
Points: 1
# Comments: 0
Ask HN: What is the current state of live translation?
My ideal scenario: I'm having a conversation with one other person, we are both wearing a personal mic or earbuds connected to our Android phones. We're using the same app and we can have a conversation in our respective languages with low-latency: it would feel like we are in a UN meeting with a real-time translator.
Can I have this now?
Comments URL: https://news.ycombinator.com/item?id=39861902
Points: 2
# Comments: 2
Differences between public and confidential clients in OAuth
Article URL: https://blog.logto.io/reveal-public-and-confidential-clients/
Comments URL: https://news.ycombinator.com/item?id=39861857
Points: 3
# Comments: 1
Show HN: Now tracking the number of unique URLs in the Mwmbl index
This is actually a lot harder to do than you might imagine, we need to scan the whole index and use a hyperloglog (handily implemented for us in Redis) to count the URLs.
Comments URL: https://news.ycombinator.com/item?id=39861836
Points: 1
# Comments: 0
Number Stations
Article URL: https://priyom.org/number-stations
Comments URL: https://news.ycombinator.com/item?id=39861827
Points: 1
# Comments: 0
You've received an offer for your NFT: watch out for this SCAM
Yesterday I've received an email, presumably from OpenSea. The design is spotless and the "reply-to" field points to "alexa@opensea.com" while the sender is "no-reply-217@mail.beehiiv.com".
It might look legit if you open the email on mobile while doing grocery shopping and are distracted by a million other things.
When you click on Review Offer you'll be sent to "listings-marketplace.com" where you'll find a clone of the OpenSea login page that will try to steal your wallet info.
Here's the email: https://ibb.co/yVYnKY4
Watch out.
Comments URL: https://news.ycombinator.com/item?id=39861817
Points: 1
# Comments: 0