Fri.Jul 05, 2024

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Tuning Hyperparameters in Neural Networks

KDnuggets

Learn essential techniques for tuning hyperparameters to enhance the performance of your neural networks.

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Machine Learning Models: 4 Ways to Test them in Production

Data Science Dojo

Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. These models are trained using historical data to recognize underlying patterns and relationships. Once trained, they can be used to make predictions on new, unseen data. Modern businesses are embracing machine learning (ML) models to gain a competitive edge.

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SQL DESCRIBE: Unveiling the Secrets of Your Tables

Analytics Vidhya

Introduction In relational databases, where data is meticulously organized in tables, understanding their structure is essential. SQL’s DESCRIBE (or DESC in some database systems) command gives you to become a data detective, peering into the internal makeup of your tables and extracting valuable information. Overview What is DESCRIBE? DESCRIBE is a non-destructive statement used to […] The post SQL DESCRIBE: Unveiling the Secrets of Your Tables appeared first on Analytics Vidhya.

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How to Speed Up Python Pandas by Over 300x

KDnuggets

In this blog, we will define Pandas and provide an example of how you can vectorize your Python code to optimize dataset analysis using Pandas to speed up your code over 300x times faster.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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How to Use DALL-E 3 API for Image Generation?

Analytics Vidhya

Introduction In Artificial Intelligence(AI), DALL-E 3 has emerged as a game-changing advancement in picture-generating technology. This current edition, developed by OpenAI, improves on previous iterations to generate increasingly sophisticated, nuanced, and contextually correct images from textual descriptions. As the third installment in the DALL-E series, it marks a substantial advancement in AI’s ability to grasp […] The post How to Use DALL-E 3 API for Image Generation?

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Tips for Effective Feature Engineering in Machine Learning

Machine Learning Mastery

Feature engineering is an important step in the machine learning pipeline. It is the process of transforming data in its native format into meaningful features to help the machine learning model learn better from the data. If done right, feature engineering can significantly enhance the performance of machine learning algorithms. Beyond the basics of understanding […] The post Tips for Effective Feature Engineering in Machine Learning appeared first on MachineLearningMastery.com.

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Difference Between Method Overloading and Overriding

Analytics Vidhya

Introduction Method overloading and method overriding are two fundamental concepts in object-oriented programming (OOP) you must know. They can greatly enhance the flexibility and functionality of your code, especially in fields like data science and artificial intelligence, which require efficient and maintainable code. Although these two terms might sound similar, their underlying mechanisms are significantly […] The post Difference Between Method Overloading and Overriding appeared firs

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How Organizations Can Avoid AI Sticker Shock

insideBIGDATA

In this contributed article, Chris Opat, Backblaze senior vice president of cloud operations, highlights how companies can innovate with AI while staying within the budget by understanding the type of AI you’re training, its latency requirements, the quantities of training data, and what third-party data you’ll need.

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What is Few-Shot Prompting?

Analytics Vidhya

Introduction In machine learning, generating correct responses with minimum facts is essential. Few-shot prompting is an effective strategy that allows AI models to perform specific jobs by presenting only a few examples or templates. This approach is especially beneficial when the undertaking calls for limited guidance or a selected format without overwhelming the version with […] The post What is Few-Shot Prompting?

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Webinar: Getting Started with Llama 3 on AMD Radeon and Instinct GPUs

insideBIGDATA

[Sponsored Post] This webinar: "Getting Started with Llama 3 on AMD Radeon and Instinct GPUs" provides a guide to installing Hugging Face transformers, Meta’s Llama 3 weights, and the necessary dependencies for running Llama locally on AMD systems with ROCm™ 6.0.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Mastering Python’s Maximum Integer Value

Analytics Vidhya

Introduction Python is an extremely capable programming language that works well with integers of any size. Although this special functionality helps developers, there are some possible drawbacks as well. This page offers a thorough explanation of Python’s maximum integer value, as well as helpful hints, examples, and typical difficulties. Overview How Python Handles Integers?

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The CFO’s Quest in an AI-first World

insideBIGDATA

A new research study with HFS Research from Genpact (helping leading finance organizations with digital transformation) found that leading CFOs expect AI to be the "future" of their company. The CFOs surveyed – including chiefs from HP, HSBC, Trinity Health and more – see the biggest potential for data analysis, customer integration and forecasting, but also expressed concern about how to take the next step.

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Radio Garden

Hacker News

Explore live radio by rotating the globe.

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Visually navigate code as stars and galaxies

FlowingData

Andrei Kashcha visualized major software packages as galaxies that you can fly through. Every dot here is a package. Position of a package is determined by force based graph layout algorithm and usually clusters together packages that depend on each other. Some packages are connected by lines. It means one package depend on another. Image above shows only very close connections.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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7-Eleven Is Reinventing Its $17B Food Business to Be More Japanese [video]

Hacker News

In Japan, 7-Eleven has long led its American counterpart in prepared meals with foods like ramen and rice balls. But now, the world’s largest convenience sto.

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Putting AI to work in finance: Using generative AI for transformational change

IBM Journey to AI blog

Finance leaders are no strangers to the complexities and challenges that come with driving business growth. From navigating the intricacies of enterprise-wide digitization to adapting to shifting customer spending habits, the responsibilities of a CFO have never been more multifaceted. Amidst this complexity lies an opportunity. CFOs can harness the transformative power of generative AI (gen AI) to revolutionize finance operations and unlock new levels of efficiency, accuracy and insights.

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Largest nuclear fusion reactor is finally completed

Hacker News

ITER, a $28 billion fusion reactor in France, has finally had its last magnetic coil installed. But the reactor itself won't fire up fully until 2039 at the earliest.

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Conservatives lose UK election by a lot

FlowingData

For the New York Times, Josh Holder and Lauren Leatherby show how the Conservatives lost the election from multiple angles : lost seats, historical vote share, shift of support to Reform, an easy win by Labour, and an age breakdown. It looks bad for Conservatives any way you cut the data.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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PostgreSQL and UUID as Primary Key

Hacker News

Java & Spring Boot - Freelance Software Consultant

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UK party gains and winners

FlowingData

Speaking of Conservatives losing , Andre Tartar and Demetrios Pogkas for Bloomberg show the other end with party gains. Angled arrows have become a staple to visualize net differences for regions on a map, but I think this is the first time I’ve seen the shaft of the arrow double as a stacked bar. Colors represent party gains. The head color represents the winner.

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YouTube's eraser tool removes copyrighted music without impacting other audio

Hacker News

On July 4, YouTube released an updated eraser tool for creators so they can easily remove any copyrighted music from their videos without affecting any

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AdaBoost Explained From Its Original Paper

Towards AI

Last Updated on July 5, 2024 by Editorial Team Author(s): Christian Guerra Originally published on Towards AI. This publication is meant to show a very popular ML algorithm in complete detail, how it works, the math behind it, how to execute it in Python and an explanation of the proofs of the original paper. There will be math and code, but it is written in a way that allows you to decide which are the fun parts.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Private firms and open sources are giving spies a run for their money

Hacker News

There is plenty of co-operation, too

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Mendix: Avoiding The Sprinkle Or Scramble In Low-Code Governance

Adrian Bridgwater for Forbes

As low-code technologies expand, we will need to know more about the provenance of the digital ingredients we put into this mix and how it will be used.

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Elsevier withdraws plagiarized paper after author calls journal out on LinkedIn

Hacker News

Sasan Sadrizadeh In late May, one of Sasan Sadrizadeh’s doctoral students stumbled upon a paper with data directly plagiarized from his previous work.

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Semi- and Self-Supervised Learning Help Clinicians Minimize Manual Labeling in Medical Image…

NYU Center for Data Science

Semi- and Self-Supervised Learning Help Clinicians Minimize Manual Labeling in Medical Image Analysis A new AI pipeline developed by researchers at CDS significantly reduces the need for manual labeling in medical image analysis tasks, as detailed in the study titled “ Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification ,” published in Nature Scientific Reports.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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The Teton Pass collapsed in the most economically unequal county in the country

Hacker News

What happens when 40 percent of the workforce has to live somewhere else, and even doctors can’t afford to buy in town.

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Mind the Gap: The Product in Data Product Is Reliability

Dataversity

Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored analytics architecture stuck in the 1990s. This month, we’ll look at the rise of the data product. It wasn’t so long ago […] The post Mind the Gap: The Product in Data Product Is Reliability appeared first on DATAVERSITY.

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Harvester pulls 1.5 gallons of drinking water from arid air per day

Hacker News

It’s an unfortunate irony that while many regions struggle to find enough water, there’s trillions of liters of the stuff floating around in the air everywhere. A new water harvester design from MIT can pull enough fresh water out of the air to meet the daily needs of several people.

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Gen AI 101: Technology Choices (Part 1)

phData

The release of ChatGPT in late 2022 introduced generative artificial intelligence to the general public and triggered a new wave of AI-oriented companies, products, and open-source projects that provide tools and frameworks to enable enterprise AI. In a survey conducted in 2023 , over three-quarters of the executives surveyed believed that artificial intelligence would disrupt their business strategy.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?