Apple on Friday released security updates for iOS, iPadOS, macOS, tvOS, watchOS, visionOS, and its Safari web browser to address two security flaws that it said have been exploited in the wild, one of which is the same flaw that was patched by Google in Chrome earlier this week. The vulnerabilities are listed below – […]
A fake torrent for Leonardo DiCaprio’s ‘One Battle After Another’ hides malicious PowerShell malware loaders inside subtitle files that ultimately infect devices with the Agent Tesla RAT malware. […] Read More
Cybersecurity researchers are calling attention to a new campaign that’s leveraging GitHub-hosted Python repositories to distribute a previously undocumented JavaScript-based Remote Access Trojan (RAT) dubbed PyStoreRAT. “These repositories, often themed as development utilities or OSINT tools, contain only a few lines of code responsible for silently downloading a remote HTA file and executing Read More
The One Data Analyst Role That’s AI-ProofKDnuggets And it pays $100K+ more than regular data analyst jobs.
And it pays $100K+ more than regular data analyst jobs. Read More
EDA in Public (Part 1): Cleaning and Exploring Sales Data with PandasTowards Data Science Hey everyone! Welcome to the start of a major data journey that I’m calling “EDA in Public.” For those who know me, I believe the best way to learn anything is to tackle a real-world problem and share the entire messy process — including mistakes, victories, and everything in between. If you’ve been looking to level up
The post EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas appeared first on Towards Data Science.
Hey everyone! Welcome to the start of a major data journey that I’m calling “EDA in Public.” For those who know me, I believe the best way to learn anything is to tackle a real-world problem and share the entire messy process — including mistakes, victories, and everything in between. If you’ve been looking to level up
The post EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas appeared first on Towards Data Science. Read More
5 Lightweight Alternatives to Pandas You Should TryKDnuggets Get started with five free Python libraries that let you analyze, filter, and process data faster than traditional Pandas.
Get started with five free Python libraries that let you analyze, filter, and process data faster than traditional Pandas. Read More
Building a voice-driven AWS assistant with Amazon Nova SonicArtificial Intelligence In this post, we explore how to build a sophisticated voice-powered AWS operations assistant using Amazon Nova Sonic for speech processing and Strands Agents for multi-agent orchestration. This solution demonstrates how natural language voice interactions can transform cloud operations, making AWS services more accessible and operations more efficient.
In this post, we explore how to build a sophisticated voice-powered AWS operations assistant using Amazon Nova Sonic for speech processing and Strands Agents for multi-agent orchestration. This solution demonstrates how natural language voice interactions can transform cloud operations, making AWS services more accessible and operations more efficient. Read More
Improved Gemini audio models for powerful voice experiencesGoogle DeepMind News
The Machine Learning “Advent Calendar” Day 12: Logistic Regression in ExcelTowards Data Science In this article, we rebuild Logistic Regression step by step directly in Excel.
Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood.
With a transparent gradient-descent table, you can watch the model learn at each iteration—making the whole process intuitive, visual, and surprisingly satisfying.
The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel appeared first on Towards Data Science.
In this article, we rebuild Logistic Regression step by step directly in Excel.
Starting from a binary dataset, we explore why linear regression struggles as a classifier, how the logistic function fixes these issues, and how log-loss naturally appears from the likelihood.
With a transparent gradient-descent table, you can watch the model learn at each iteration—making the whole process intuitive, visual, and surprisingly satisfying.
The post The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel appeared first on Towards Data Science. Read More
How to Write Efficient Python Data ClassesKDnuggets Writing efficient Python data classes cuts boilerplate while keeping your code clean. And this article will teach you how.
Writing efficient Python data classes cuts boilerplate while keeping your code clean. And this article will teach you how. Read More
