Author: Tech Jacks Solutions

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

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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  

AI in 2026: Experimental AI concludes as autonomous systems riseAI News Generative AI’s experimental phase is concluding, making way for truly autonomous systems in 2026 that act rather than merely summarise. 2026 will lose the focus on model parameters and be about agency, energy efficiency, and the ability to navigate complex industrial environments. The next twelve months represent a departure from chatbots toward autonomous systems executing
The post AI in 2026: Experimental AI concludes as autonomous systems rise appeared first on AI News.

 Generative AI’s experimental phase is concluding, making way for truly autonomous systems in 2026 that act rather than merely summarise. 2026 will lose the focus on model parameters and be about agency, energy efficiency, and the ability to navigate complex industrial environments. The next twelve months represent a departure from chatbots toward autonomous systems executing
The post AI in 2026: Experimental AI concludes as autonomous systems rise appeared first on AI News. Read More  

Decentralized Computation: The Hidden Principle Behind Deep LearningTowards Data Science Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI models succeed because many simple units interact locally
The post Decentralized Computation: The Hidden Principle Behind Deep Learning appeared first on Towards Data Science.

 Most breakthroughs in deep learning — from simple neural networks to large language models — are built upon a principle that is much older than AI itself: decentralization. Instead of relying on a powerful “central planner” coordinating and commanding the behaviors of other components, modern deep-learning-based AI models succeed because many simple units interact locally
The post Decentralized Computation: The Hidden Principle Behind Deep Learning appeared first on Towards Data Science. 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