KDnuggets

MAY 28, 2024

Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.

Data Science 380

Data Science 380

Analytics Vidhya

MAY 27, 2024

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

AI 370

AI AI Analytics Analytics 370

insideBIGDATA

MAY 25, 2024

A new survey of C-suite executives and AI leaders shows while enterprise decision-makers trust the potential of AI, many lack confidence in their company’s strategy to execute as well as the data readiness to ensure reliability of AI outputs. Moreover, 7 in 10 executives say their AI strategy is not fully aligned to their business strategy today.

AI 365

AI AI Deep Learning Deep Learning 365

databricks

MAY 30, 2024

Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.

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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?

KDnuggets

MAY 31, 2024

Are you a data science beginner looking to learn Python? Start learning today with these 5 free courses.

Data Science 372

Data Science Python 372

Data Science Dojo

MAY 27, 2024

In the recent discussion and advancements surrounding artificial intelligence, there’s a notable dialogue between discriminative and generative AI approaches. These methodologies represent distinct paradigms in AI, each with unique capabilities and applications. Yet the crucial question arises: Which of these emerges as the foremost driving force in AI innovation?

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K-nearest Neighbors Supervised Learning AI AI 338

Adrian Bridgwater for Forbes

MAY 26, 2024

Higher resolution data has a rich set of values related to images, movement, sound and unstructured elements that we now seek to bring structure to.

Big Data 325

Big Data Big Data 325

KDnuggets

MAY 31, 2024

SQL seems like a data science underdog compared to Python and R. However, it’s far from it. I’ll show you here how you can use it as a data scientist.

Data Scientist 365

Data Scientist SQL Data Science Python 365

Eugene Yan

MAY 25, 2024

Description of post here (150 chars)

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Analytics Vidhya

MAY 30, 2024

Introduction Meta AI provides a wide array of functions designed to enhance communication, efficiency, and creativity across various fields. These functions range from answering queries and generating text to translating languages and creating images. This article highlights 10 uses of Meta AI, showcasing its potential to transform the way we use AI chatbots for everyday […] The post 10 Innovative Uses of Meta AI for Everyday Tasks appeared first on Analytics Vidhya.

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AI AI Analytics Analytics 329

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Machine Learning Mastery

MAY 29, 2024

Introduction The process of deploying machine learning models is an important part of deploying AI technologies and systems to the real world. Unfortunately, the road to model deployment can be a tough one. The process of deployment is often characterized by challenges associated with taking a trained model — the culmination of a lengthy data-preparation […] The post Tips for Deploying Machine Learning Models Efficiently appeared first on MachineLearningMastery.com.

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Machine Learning Machine Learning Data Preparation AI 311

KDnuggets

MAY 28, 2024

Check out this beginner's guide to take advantage of Google’s AI tools.

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AI AI Artificial Intelligence Artificial Intelligence 361

Adrian Bridgwater for Forbes

MAY 29, 2024

Computinng cloud’s should be clearer more clinically defined computing entities, so what’s going on?

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Analytics Vidhya

MAY 27, 2024

Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex appeared first on Analytics Vidhya.

Python 328

Python Analytics Analytics Artificial Intelligence 328

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

insideBIGDATA

MAY 31, 2024

In this contributed article, Alexis Liu, Head of Legal at Weights & Biases, discusses how intellectual property (IP) protection is a difficult area to navigate in the age of generative AI (GenAI). This article explores the law as it stands today, ways to protect GenAI work from an IP perspective, and what work you should avoid using GenAI on in the first place.

AI 273

AI AI Deep Learning Deep Learning 273

KDnuggets

MAY 27, 2024

A course that helps career switchers and advancers harness the power of AI to transform the way they work.

AI 343

AI AI 343

databricks

MAY 28, 2024

The annual Data Team Awards celebrate the critical contributions of data teams to various sectors, spotlighting their role in driving progress and positive.

AI 264

AI AI 264

Analytics Vidhya

MAY 29, 2024

Introduction AI is growing quickly, and multimodal AI is among its best achievements. Unlike traditional AI systems that can only process a single type of data at a time, e.g., text, images, or audio, multimodal AI can simultaneously process multiple input forms. This allows the AI system to understand the input data more comprehensively, leading […] The post What Future Awaits with Multimodal AI?

AI 324

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

insideBIGDATA

MAY 28, 2024

In this contributed article, Shayde Christian, Chief Data & Analytics Officer at Cloudera, discusses issues surrounding the barriers organizations face when it comes to implementing GenAI and how to navigate them.

Analytics 273

Analytics Analytics AI AI 273

KDnuggets

MAY 29, 2024

Level up your Python skills for data science with these by following these best practices.

Data Science 342

Data Science Python 342

databricks

MAY 29, 2024

This blog is authored by Michael Ewins, Director of Engineering at Skyscanner At Skyscanner , we're more than just a flight search engine.

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Analytics Vidhya

MAY 30, 2024

Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers. We will look at each library’s unique features and […] The post Top 9 Python Libraries for Data Engineers appeared first on Analytics Vidhya.

Data Engineering 317

Data Engineering Data Engineering Data Engineer Data Engineering 317

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Machine Learning Research at Apple

MAY 27, 2024

Transformers have demonstrated impressive performance on class-conditional ImageNet benchmarks, achieving state-of-the-art FID scores. However, their computational complexity increases with transformer depth/width or the number of input tokens and requires patchy approximation to operate on even latent input sequences.

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KDnuggets

MAY 30, 2024

Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.

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databricks

MAY 31, 2024

Special thanks to Caleb Benningfield and Sam Malissa at Amperity for their valuable insights and contributions to this blog. Today, businesses face a.

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Analytics Vidhya

MAY 27, 2024

Introduction Text summarization is an essential part of natural language processing (NLP) that tries to shorten enormous amounts of text and make more readable summaries while retaining crucial information. Given the expansion of internet material, good summarizing techniques are essential for various applications, such as academic research, content generation, and news summaries.

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Natural Language Processing Analytics Analytics 317

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Dataconomy

MAY 27, 2024

For many years, the personal data of billions of people has been stored on centralized servers owned by big tech giants like Google, Amazon, and Facebook. While these international corporations have built monolithic empires through the collection of vast troves of monetizable data – often without transparency or consent – frequent breaches have repeatedly highlighted their vulnerability.

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Data Warehouse Database SQL Analytics 213

KDnuggets

MAY 27, 2024

Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.

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databricks

MAY 31, 2024

With more and more customer interactions moving into the digital domain, it's increasingly important that organizations develop insights into online customer behaviors. In.

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Analytics Vidhya

MAY 29, 2024

Introduction PaLiGemma is an open-source state-of-the-art model released alongside other products at Google I/O 2024 and combines two other models developed by Google. Based on open components like the SigLIP vision model and the Gemma language model, PaliGemma is a flexible and lightweight vision-language model (VLM) that draws inspiration from PaLI-3.

Analytics 315

Analytics Analytics Azure Artificial Intelligence 315

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.