what-it-means 
O'Reilly on Data
JANUARY 21, 2025
When an LLM doesnt do what you want, your main recourse is to change the input. This means using LLMs to interpret user input and clarify what they want, while relying on predefined, testable workflows for critical operations. At first glance, its mesmerizinga paradise of potential. Its quick to implement and demos well.
O'Reilly on Data
NOVEMBER 12, 2024
But what blew me away was the podcast it generated: an eight-minute discussion between two synthetic people who sounded interested and engaged. When I wanted to go back to the podcast a few days later, I had to play “guess what to click” way too much. What’s really new? Was it 100% correct? Is this revolutionary?
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Analytics Vidhya
NOVEMBER 25, 2024
Understanding its core properties, mean and variance, is important for interpreting data and modelling real-world phenomena. In this article, we will dig into the concepts of mean and variance as they relate […] The post What are Mean and Variance of the Normal Distribution? appeared first on Analytics Vidhya.
O'Reilly on Data
MAY 19, 2025
Little did I know that Microsoft already had something in the works that is a demonstration of what I am hoping for. The mistake that everyone makes is a rush to crown the new monopolist at the start of what is essentially a wide-open field at the beginning of a new disruptive market. We have lived through three eras in computing.
Speaker: Dan Jenkins - Human Factors & Research Lead – DCA Design International
What ‘inclusive design’ really means. Inclusive design is about designing for as diverse a range of people as possible. More importantly, it is about designing products and services in light of this understanding. More importantly, it is about designing products and services in light of this understanding.
O'Reilly on Data
DECEMBER 10, 2024
What about Fermats Little Theorem ? First, let’s understand what we’re dealing with. Alibabas latest model, QwQ-32B-Preview , has gained some impressive reviews for its reasoning abilities. Like OpenAIs GPT-4 o1, 1 its training has emphasized reasoning rather than just reproducing language. But thats hardly a valid test.
Analytics Vidhya
JUNE 3, 2022
Introduction What is a Load Balancer, and why do we need it? Horizontal scaling means the addition of extra servers and machines to the existing infrastructure so that it […]. This article was published as a part of the Data Science Blogathon. Load Balancer is a must component when we want to scale our systems horizontally.
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This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.
Speaker: Judah Phillips, Co-CEO and Co-Founder, Product & Growth at Squark
What each model class is and how they're different from one another. What feature engineering means, how it's applied to your data, and what it does. What are models, and uncover how and why the best one is automatically selected. How to quickly interpret your predictive results and translate them into action.
Speaker: Rob De Feo, Startup Advocate at Amazon Web Services
But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). In what new directions machine learning’s most advanced practitioners are taking it now. Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do. If you can’t identify it, you can’t fix it!
Speaker: Nils Davis, Principal, NPD Associates
However, this begs the question on every product manager’s mind: “How do I tell if what I'm hearing from a customer is a need or 'just' a want?”. Storytelling is critical for turning data into meaning - your data (hopefully) helps you tell a story, that you can use for influence, persuasion, or simply decision-making.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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