Fri.Feb 02, 2024

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Introducing The Streaming Datalake

insideBIGDATA

In this contributed article, Tom Scott, CEO of Streambased, outlines the path event streaming systems have taken to arrive at the point where they must adopt analytical use cases and looks at some possible futures in this area.

Analytics 363
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Mistral AI’s GPT-4 Competitor ‘Miqu-1-70b’ Leaked

Analytics Vidhya

In a surprising turn of events, the open-source AI community is abuzz with the revelation of an accidental leak involving Mistral, a Paris-based AI company. The leaked model, named ‘Miqu-1-70b,’ has caught attention for its potential to rival or even surpass the widely acclaimed GPT-4. Let’s delve into the unfolding saga and what it means […] The post Mistral AI’s GPT-4 Competitor ‘Miqu-1-70b’ Leaked appeared first on Analytics Vidhya.

AI 274
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OpenAI API for Beginners: Your Easy-to-Follow Starter Guide

KDnuggets

Learn how to use OpenAI Python API for accessing language, embedding, audio, vision, and image generation models.

Python 313
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Apple’s Vision Pro Launched with 600 Apps: Here’s All You Need to Know

Analytics Vidhya

Apple’s much-anticipated Vision Pro headset has hit the market, boasting an array of features and applications designed to redefine the virtual and augmented reality experience. Priced at $3,499, the Vision Pro is set to cater to a diverse audience, blending entertainment, productivity, and spatial computing. In this article, we delve into the key aspects of […] The post Apple’s Vision Pro Launched with 600 Apps: Here’s All You Need to Know appeared first on Analytics Vidhya.

Analytics 272
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Converting JSONs to Pandas DataFrames: Parsing Them the Right Way

KDnuggets

Navigating Complex Data Structures with Python's json_normalize.

Python 280
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Linked Lists in Python

Analytics Vidhya

Introduction A Linked List is a data structure consisting of a sequence of nodes, each containing a value and a reference to the next node in the sequence. Unlike arrays, Linked Lists do not require contiguous memory allocation, making them more flexible and efficient for certain operations. In this article, we will explore the advantages […] The post Linked Lists in Python appeared first on Analytics Vidhya.

Python 269

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Check if Element Exists in List in Python

Analytics Vidhya

Introduction Checking if an element exists in a list is common in Python programming. Several methods are available to accomplish this, whether you want to search for a number, string, or even a custom object. This article will give you techniques to check if an element exists in a list and discuss its performance considerations. […] The post Check if Element Exists in List in Python appeared first on Analytics Vidhya.

Python 265
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The game-changer in regression: unveiling rank-based encoding for surefire success

Data Science Dojo

Rank-based encoding – a breakthrough? In this blog, we’re diving into a new approach that promises not just to shake things up but to guarantee top-notch results. Say hello to rank-based encoding – a technique you probably haven’t heard much about yet, but one that’s about to change the game. An example illustrating rank-based encoding – Source: ResearchGate In the vast world of machine learning , getting your data ready is like laying the groundwork for success.

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What is numpy.linspace() in Python?

Analytics Vidhya

Introduction numpy.linspace() is a powerful function in Python’s NumPy library that allows you to create evenly spaced arrays with a specified number of elements. It’s a versatile tool used in various applications, from scientific computing to data analysis and data visualization. In this blog, we’ll explore the ins and outs of numpy.linspace() and how you […] The post What is numpy.linspace() in Python?

Python 255
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AWS charge for using IPv4 expected to bring $1B/year and speed up IPv6 adoption

Hacker News

On Thursday, Amazon Web Services (AWS) introduced a new charge for customers with public IPv4 addresses. It had warned a new pricing plan was going to be put into place last July, but new estimates suggest that it could make an extra $1 billion per annum from this change.

AWS 181
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Ways of Converting Textual Data into Structured Insights with LLMs

Analytics Vidhya

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights. Unstructured data, including text documents and social media posts, exacerbates this challenge with its inherent lack of predefined structure, making extracting meaningful insights even […] The post Ways of Converting Textual Data into Structured Insights with LLMs appeared firs

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David Kahn

Hacker News

David Kahn has died. His groundbreaking book, The Codebreakers was the first serious book I read about codebreaking, and one of the primary reasons I entered this field. He will be missed.

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All About Python List Slicing With Examples

Analytics Vidhya

Introduction Python offers developers a wide range of functionalities. Its simplicity and extensive libraries make it a go-to choice for diverse applications, from data analysis, machine learning, and web development to automation and scripting. In this article, we will explore the concept of list slicing in Python, its benefits, syntax, and various techniques to perform […] The post All About Python List Slicing With Examples appeared first on Analytics Vidhya.

Python 242
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Mathematicians have finally proved that Bach was a great composer

Hacker News

Converting hundreds of compositions by Johann Sebastian Bach into mathematical networks reveals that they store lots of information and convey it very effectively

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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12 Platforms to Run Python Code Online

Analytics Vidhya

Introduction In programming and data science, the ability to run Python code online has become a game-changer for developers, learners, and professionals. If you’re seeking the ideal platform, you’re on the right track. This article explores 12 platform to run Python code online and highlights some of the most popular platforms available for this purpose. […] The post 12 Platforms to Run Python Code Online appeared first on Analytics Vidhya.

Python 234
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There Are Too Many Damn Honeypots

Hacker News

VulnCheck faces a horde of honeypots while assessing the potential impact of Atlassian Confluence's CVE-2023-22527. This blog delves into Shodan queries to filter out honeypots and uncover the actual on-premise Confluence install base.

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Top 10 Data Science Companies to Work for in 2024

Analytics Vidhya

As the demand for data-driven insights continues to surge across industries, the role of data scientists has become increasingly crucial. If you’re considering a career in data science or looking to elevate your current position, it’s essential to explore opportunities with companies that are at the forefront of innovation in this dynamic field.

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The European regulators listened to the Open Source communities

Hacker News

Open Source communities defended developers and foundations against risks posed by the CRA to Open Source development, and their voices were heard. Workshops being offered at FOSDEM offer a chance for others to participate moving forward.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Fine-tuning A Tiny-Llama Model with Unsloth

Analytics Vidhya

Introduction After the Llama and Mistral models were released, the open-source LLMs took the limelight out of OpenAI. Since then, multiple models have been released based on Llama and Mistral architecture, performing on par with proprietary models like GPT-3.5 Turbo, Claude, Gemini, etc. However, these models are too large to be used in consumer hardware. […] The post Fine-tuning A Tiny-Llama Model with Unsloth appeared first on Analytics Vidhya.

Analytics 228
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jj init – getting serious about replacing Git with Jujutsu

Hacker News

Jujutsu (`jj`) is a new version control system from a software developer at Google. I have been using it full time for 6 months. Here’s why you should switch, too.

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What are: Embeddings? Vector Databases? Vector Search? k-NN? ANN?

Cassie Kozyrkov

A simple explainer to debuzz these AI buzzwords Continue reading on Towards Data Science »

Database 176
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AT&T applies to end obligation to service landlines in California

Hacker News

AT&T doesn't want to be in charge of landlines anymore. If another company doesn't step up, this could mean the end of landlines as we know them.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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What are: Embeddings? Vector Databases? Vector Search? k-NN? ANN?

Cassie Kozyrkov

A simple explainer to debuzz these AI buzzwords Continue reading on Medium »

Database 170
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Limitarianism: The Case Against Extreme Wealth: Ingrid Robeyns

Hacker News

‘The best case I've read for putting an upper limit on the accumulation of wealth’ Richard WilkinsonNo-one deserves to be a millionaire.Not even you. We all notice when the poor get.

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Cloudflare Okta breach doesn’t have a big impact, company says

Dataconomy

According to the company, the recent Cloudflare Okta breach has not caused any harm to any of the customers or users. However, the incident brought more questions about the Okta breach, which affects many different services and companies. In today’s digital world, online data security is constantly under threat, making news of cyberattacks almost routine.

Database 113
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Rice scientists pull off quantum coup

Hacker News

Rice scientists have discovered a first-of-its-kind material, a 3D crystalline metal in which quantum correlations and the geometry of the crystal structure combine to frustrate the movement of electrons and lock them in place.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Mistral Medium leak confirmed: Miqu 70b explained

Dataconomy

According to the latest news and tweets, the Mistral Medium leak has revealed Miqu 70b. What is even more interesting is that the company’s CEO, Arthur Mensch, confirmed it on X with a fairly funny tweet. The recent leak of an AI model called “miqu-1–70b” has caught the attention of tech enthusiasts and experts alike. This event started with a simple file upload by someone named “Miqu Dev” on a platform called HuggingFace, sparking widespread interest and conversati

AI 113
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Why Don't We Teach People How to Parent?

Hacker News

The ways that Americans used to learn child-rearing are falling apart. The new ones aren’t filling the gaps left behind.

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It is time to get rid of traditional web searches

Dataconomy

Google has introduced a brand-new way of searching and users are wondering how to use Circle to Search. Remember the days of typing clunky keywords into a search bar and hoping for the best? Well, those days might be numbered. Google’s new search feature, teased in a playful and energetic YouTube video, promises a revolution in how we find information.

AI 103
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Why Isn't the Element 100% Supported on CanIUse.com?

Hacker News

I saw a Mastodon post that made me laugh this morning. It seemed sort of crazy that the html element wouldn’t have 100% support on CanIUse.com. Heck, I’ve been using it since 1994 and it worked just fine back then! This led me down a bit of a rabbit hole.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.