Wed.Jan 31, 2024

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How to Create and Work with NamedTuples in Python?

Analytics Vidhya

Introduction Python is a versatile programming language that offers a wide range of data structures to handle complex tasks efficiently. One such data structure is a namedtuple, which combines the benefits of tuples and dictionaries. In this article, we will explore the concept of namedtuples, their creation, advantages, common use cases, and compare them with […] The post How to Create and Work with NamedTuples in Python?

Python 309
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A fundamental guide to master your knowledge of retrieval augmented generation

Data Science Dojo

Retrieval augmented generation (RAG) has improved the function of large language models (LLM). It empowers generative AI to create more coherent and contextually relevant content. Let’s take a deeper look into understanding RAG. What is retrieval augmented generation? It is an AI framework and a type of natural language processing (NLP) model that enables the retrieval of information from an external knowledge base.

Database 243
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South Korean AI Chip Startup Rebellions Snags Funding to Challenge Nvidia

Analytics Vidhya

South Korean AI chip startup, Rebellions Inc., has successfully secured $124 million in a recent Series B financing round, with major contributions from KT Corp. The funds will be utilized to expedite the development of Rebellions’ third AI chip, known as Rebel, designed to compete with industry leader Nvidia. The investment underscores the heightened interest […] The post South Korean AI Chip Startup Rebellions Snags Funding to Challenge Nvidia appeared first on Analytics Vidhya.

AI 301
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The Critical Role of Data in Solving Society’s Biggest Problems

insideBIGDATA

In this contributed article, Charles Sword, Chief Revenue Officer at UpMetrics, discusses why foundations and impact investors have been dropping the ball with respect to data analytics and how they should work with the nonprofits they fund to maximize the impact they are making and effectively convey stories which illustrate that impact.

Analytics 243
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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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How to Make Pandas 150x Faster?

Analytics Vidhya

Introduction Performance optimization is crucial when working with large datasets in Pandas. As a popular data manipulation library in Python, Pandas offers a wide range of functionalities for data analysis and preprocessing. However, it can sometimes suffer from performance bottlenecks, especially when dealing with large datasets. This article will explore various techniques and best practices […] The post How to Make Pandas 150x Faster?

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AI Companies and Applications have a lot to Prove in 2024

insideBIGDATA

In this contributed article, Saad Siddiqui, General Partner at Telstra Ventures, indicates that while there are plenty of risks for VCs in AI right now, they’re overwhelmingly outweighed by the potential benefits. As AI adoption continues to gain momentum, the task in 2024 will be making strategic investments in companies and applications capable of maximizing the value of the most revolutionary technology in the world.

AI 243

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Introducing AI Model Sharing with Databricks

databricks

Today, we're excited to announce that AI model sharing is available in both Databricks Delta Sharing and on the Databricks Marketplace. With Delta.

AI 285
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6 Different Approaches to Displaying Lists in Python

Analytics Vidhya

Introduction In Python, printing lists isn’t just about showing values; it’s a way for programmers to understand their code better and make sure data looks right. Let’s explore different ways to print lists, with practical examples and tips to make things clearer. Let’s dive into the world of Python lists. Enroll in our free course […] The post 6 Different Approaches to Displaying Lists in Python appeared first on Analytics Vidhya.

Python 290
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Exploring Dictionaries, Classifying Variables, and Imputing Data in the Ames Dataset

Machine Learning Mastery

The real estate market is a complex ecosystem driven by numerous variables such as location, property features, market trends, and economic indicators. One dataset that offers a deep dive into this complexity is the Ames Housing dataset. Originating from Ames, Iowa, this dataset comprises various properties and their characteristics, ranging from the type of alley […] The post Exploring Dictionaries, Classifying Variables, and Imputing Data in the Ames Dataset appeared first on MachineLear

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All About Python While Loop with Examples

Analytics Vidhya

Introduction A while loop is a fundamental control flow statement in Python that allows you to repeatedly execute a block of code as long as a certain condition is true. It provides a way to automate repetitive tasks and iterate over a sequence of values. This article will explore the syntax, usage, and various applications […] The post All About Python While Loop with Examples appeared first on Analytics Vidhya.

Python 286
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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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Databricks SQL Year in Review (Part II): SQL Programming Features

databricks

Welcome to the blog series covering product advancements in 2023 for Databricks SQL, the serverless data warehouse from Databricks. This is part 2.

SQL 274
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Mastering Logic Gates: From Boolean Basics to Python Implementation

Analytics Vidhya

Introduction Logic gates are fundamental building blocks in digital electronics and computer science. They perform logical operations based on Boolean logic, which deals with true and false values. In this article, we will explore the importance of logic gates in computing, understand the basic concepts of Boolean logic, and learn how to implement logic gates […] The post Mastering Logic Gates: From Boolean Basics to Python Implementation appeared first on Analytics Vidhya.

Python 282
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Maximizing Efficiency in Data Analysis with ChatGPT

KDnuggets

Looking to make a career in data analytics? Take the first steps today with these free courses.

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3 Python Output Formatting

Analytics Vidhya

Introduction In Python programming, the meticulous art of output formatting assumes significance beyond syntax. This article is not just a technical walkthrough; it’s a reminder that how we present information is inseparable from the code itself. The precision embedded in formatting is not a matter of aesthetics but a silent guide, reducing ambiguity, enhancing readability, […] The post 3 Python Output Formatting appeared first on Analytics Vidhya.

Python 280
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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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M Science turns alternative data into actionable insights

databricks

There are thousands of datasets available to institutional investors, each dataset promising to unlock significant insights in investment decisioning. Across the thousands of.

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Jio Platforms Introduces ‘Jio Brain’: A Game-Changer in AI Integration

Analytics Vidhya

Jio Platforms, a subsidiary of Reliance Industries, has unveiled an innovative AI platform named ‘Jio Brain.’ This innovative platform is set to revolutionize various IT environments, including telecom, enterprise, and industry, by seamlessly integrating machine learning (ML) capabilities. Developed over two years by a dedicated team of hundreds of engineers, Jio Brain marks a significant […] The post Jio Platforms Introduces ‘Jio Brain’: A Game-Changer in AI Integr

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5 Free Courses to Break Into Data Analytics

KDnuggets

Looking to make a career in data analytics? Take the first steps today with these free courses.

Analytics 258
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What is Python Dictionary keys() Method? 

Analytics Vidhya

Introduction Python dictionaries are a powerful data structure that allows you to store key-value pairs. While working with dictionaries, there may be situations where you need to retrieve the keys as a list. In this article, we will explore the importance of retrieving dictionary keys as a list and discuss various methods to achieve this. […] The post What is Python Dictionary keys() Method?

Python 208
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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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Scalable Pre-training of Large Autoregressive Image Models

Machine Learning Research at Apple

This paper introduces AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their textual counterparts, i.e., Large Language Models (LLMs), and exhibit similar scaling properties. Specifically, we highlight two key findings: (1) the performance of the visual features scale with both the model capacity and the quantity of data, (2) the value of the objective function correlates with the performance of the model on downstream tasks.

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Exploring the zip() Function in Python

Analytics Vidhya

Introduction Python offers many built-in functions that simplify programming tasks and enhance code efficiency. One such function is zip(), which allows us to combine and manipulate multiple iterables effortlessly. This comprehensive guide will delve into the various aspects of the zip() function, exploring its syntax, parameters, and advanced techniques.

Python 172
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Building an early warning system for LLM-aided biological threat creation

Hacker News

We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive, our finding is a starting point for continued research and community deliberation.

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ChatGPT Canva hack explained: Viral posts with just a few clicks

Dataconomy

Need a quick way to create engaging social media posts in bulk? Look no further than the ChatGPT Canva hack! Simply provide your content ideas and keywords, and ChatGPT will generate inspiring quotes, thought-provoking captions, and witty one-liners in seconds. Then, use Canva’s intuitive design tools to turn your quotes into visually stunning posts.

AI 121
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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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Differ: Tool for testing and validating transformed programs

Hacker News

By Michael Brown We recently released a new differential testing tool, called DIFFER, for finding bugs and soundness violations in transformed programs. DIFFER combines elements from differential, regression, and fuzz testing to help users find bugs in programs that have been altered by software rewriting, debloating, and hardening tools.

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Chinese hackers’ cyber attack aims for “real-world” harm, says the FBI

Dataconomy

The recent revelation of a Chinese hackers cyber attack, highlighted by FBI Director Christopher Wray, has thrust U.S. Want to learn FBI’s concerns, counteraction efforts, the suspect—Volt Typhoon, and the imperative for collective defense? We explained everything known about the alleged Chinese hackers cyber attack. Chinese hackers cyber attack: 6 things you need to know According to FBI Director Christopher Wray, the Chinese hackers cyber attack represents a significant and multifaceted

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Adobe Gives Up on Web-Design Product to Rival Figma After Deal Collapse

Hacker News

Adobe Inc. will end its effort to create a web design product to rival Figma Inc. after the collapse of its proposed $20 billion acquisition of the startup.

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Behind the scenes: Block layoffs 2024

Dataconomy

Block layoffs in 2024 are the latest fintech layoffs of this year. Block, the fintech conglomerate synonymous with brands like Square, Cash App, and Afterpay, recently made waves with a strategic decision that’s sending ripples through the tech industry—a significant reduction in its workforce. In an internal memo, CEO Jack Dorsey outlined the reasoning behind this move, shedding light on the intricacies that led to this pivotal decision.

AI 113
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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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Y Combinator CEO Garry Tan's online rant spurs threats to supes, police reports

Hacker News

Following Garry Tan's tweet that San Francisco elected leaders should "die slow," two received mail threatening their families at home.

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UMG-TikTok dispute over AI hits Swifties

Dataconomy

The UMG-TikTok clash takes center stage in the news today. In a shocking turn of events, Universal Music Group (UMG), the global music powerhouse, has decided to remove its extensive music catalog from TikTok, one of the world’s largest short-form video platforms. The dispute, set to take effect on February 1, 2024, arises from failed negotiations between UMG and TikTok over a new licensing agreement.

AI 103
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Mistral CEO confirms 'leak' of new open source AI model nearing GPT4 performance

Hacker News

An anonymous user on 4chan posted a link to the miqu-1-70b files on 4chan. The open source model approaches GPT-4 performance.

AI 181
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Midjourney Niji v6 is out and here is what you need to know

Dataconomy

The digital art community is abuzz with the arrival of the latest offering: Midjourney Niji V6. This new version is a big step forward, especially for fans of anime and those who love creating digital art. Let’s dive into what Midjourney Niji v6 is all about, how you can use it, and why it’s making waves in the world of digital art. Niji V6’s arrival marks a significant moment for both amateur and professional digital artists.

AI 103
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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.