insideBIGDATA

SEPTEMBER 6, 2024

Hewlett Packard Enterprise (NYSE: HPE) announces HPE Private Cloud AI is available to order and introduces new solution accelerators to automate and streamline artificial intelligence (AI) applications. HPE Private Cloud AI is a turnkey, cloud-based experience co-developed with NVIDIA to help businesses of every size build and deploy generative AI (GenAI) applications that was introduced as part of the NVIDIA AI Computing by HPE portfolio.

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KDnuggets

SEPTEMBER 2, 2024

Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.

Data Engineering 355

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databricks

SEPTEMBER 5, 2024

An improved answer-correctness judge in Agent Evaluation Agent Evaluation enables Databricks customers to define, measure, and understand how to improve the quality of.

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Analytics Vidhya

SEPTEMBER 1, 2024

Introduction The newest model collection from Microsoft’s Small Language Models (SLMs) family is called Phi-3. They surpass models of comparable and greater sizes on a variety of benchmarks in language, reasoning, coding, and math. They are made to be extremely powerful and economical. With Phi-3 models available, Azure clients have access to a wider range […] The post What Makes Microsoft Phi 3.5 SLMs a Game-Changer for Generative AI?

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Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

AI

insideBIGDATA

SEPTEMBER 2, 2024

insideAI News is pleased to announce being a Media Partner for the upcoming AI Hardware & Edge AI Summit happening Sept. 9-12, 2024 in San Jose, Calif. Register now using the special insideAI News discount code “Insideai15” HERE. Editor-in-Chief & Resident Data Scientist, Daniel D.

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Machine Learning Mastery

SEPTEMBER 6, 2024

Artificial intelligence is not just altering the way we interact with technology; it’s reshaping the very foundations of machine learning. As we stand on the brink of innovative breakthroughs, understanding emerging AI technologies becomes essential to grasp their profound implications on future applications and industries. This exploration is not merely academic—it’s a guide to influencing […] The post 5 Emerging AI Technologies That Will Shape the Future of Machine Lear

Machine Learning 313

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Analytics Vidhya

SEPTEMBER 5, 2024

Introduction Text-to-image synthesis and image-text contrastive learning are two of the most innovative multimodal learning applications recently gaining popularity. With their innovative applications for creative image creation and manipulation, these models have revolutionized the research community and drawn significant public interest. In order to do further research, DeepMind introduced Imagen.

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insideBIGDATA

AUGUST 31, 2024

World Wide Technology (WWT), a global technology solutions provider leading the AI and Digital Revolution, announced a new initiative with NVIDIA to accelerate enterprise development and deployment of generative AI applications through the launch of NVIDIA NIM™ Agent Blueprints.

AI 435

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Machine Learning Mastery

SEPTEMBER 3, 2024

When I was in high school and studied complex mathematics problems, I always used to think about why we were studying them or why they were useful. I was unable to understand and find their usage in the real world. Since machine learning is also a trending topic that many people want to explore, the […] The post 10 Machine Learning Algorithms Explained Using Real-World Analogies appeared first on MachineLearningMastery.com.

Machine Learning 309

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databricks

SEPTEMBER 3, 2024

Learn all the ways you can publish and share AI/BI Dashboards with users inside and outside of your Databricks Workspace to democratize insights from data for everyone.

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Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

ETL

Analytics Vidhya

SEPTEMBER 6, 2024

Introduction Large language models or LLMs are a game-changer especially when it comes to working with content. From supporting summarization, translation, and generation, LLMs like GPT-4, Gemini, and Llama have made it simple to work with content and data. While these can be enough for us as individuals, companies need systems that produce actionable results […] The post 10 Business Applications of LLM Agents appeared first on Analytics Vidhya.

Analytics 306

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insideBIGDATA

SEPTEMBER 3, 2024

In this contributed article, Sanket Patel, co-founder of Digicorp, discusses how in the healthcare industry, predictive analytics aims to foresee patient health trends, treatment outcomes, and potential risks by analyzing vast amounts of medical data.

Predictive Analytics 397

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KDnuggets

SEPTEMBER 5, 2024

A beginner tutorial on building a simple web application for machine learning model inference using FastAPI and Jinja2 templates.

ML 299

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Machine Learning Mastery

SEPTEMBER 6, 2024

One of the significant challenges statisticians and data scientists face is multicollinearity, particularly its most severe form, perfect multicollinearity. This issue often lurks undetected in large datasets with many features, potentially disguising itself and skewing the results of statistical models. In this post, we explore the methods for detecting, addressing, and refining models affected by […] The post Detecting and Overcoming Perfect Multicollinearity in Large Datasets appeared f

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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.

Analytics

Analytics Vidhya

SEPTEMBER 3, 2024

Introduction How cool would it be if there was a platform where your creative visions come to life with just a few clicks—a world where you can fine-tune cutting-edge AI models to craft stunning images uniquely yours? Welcome to Civitai, a vibrant platform dedicated to empowering creators by providing access to a vast and ever-growing […] The post Why Should You Explore Civitai for Fine-Tuning AI Models?

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databricks

SEPTEMBER 5, 2024

Maintaining heavy equipment assets, such as oil rigs, agricultural combines, or fleets of vehicles, poses an extremely complex challenge for global companies. These.

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Adrian Bridgwater for Forbes

SEPTEMBER 1, 2024

InsurTech insurance technology is moving towards more on-demand delivery models embedded into our applications.

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Machine Learning Mastery

SEPTEMBER 5, 2024

When training a machine learning model, you may sometimes work with datasets with a large number of features. However, only a small subset of these features will actually be important for the model to make predictions. Which is why you need feature selection to identify these helpful features. This article covers useful tips for feature […] The post Tips for Effective Feature Selection in Machine Learning appeared first on MachineLearningMastery.com.

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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.

AI

Analytics Vidhya

SEPTEMBER 6, 2024

Introduction If you’ve worked with Large Language Models (LLMs), you’re likely familiar with the challenges of tuning them to respond precisely as desired. This struggle often stems from the models’ limited reasoning capabilities or difficulty in processing complex prompts. Despite being trained on vast datasets, LLMs can falter with nuanced or context-heavy queries, leading to […] The post How Can Prompt Engineering Transform LLM Reasoning Ability?

Analytics 291

Analytics Analytics AI AI 291

databricks

SEPTEMBER 5, 2024

We recently announced the General Availability of our serverless compute offerings for Notebooks, Jobs, and Pipelines. Serverless compute provides rapid workload startup, automatic.

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insideBIGDATA

SEPTEMBER 5, 2024

IDC predicts that enterprises are poised to double their 2023 investments in GenAI from $19 billion to $151 billion by 2027. But where are enterprises today on their AI maturity journey? Do they have enough backing from the board? Do they have enough compute? Do they have everything they need to build AI responsibly and safely? And do they have actual AI projects in production with a clear path to ROI?

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Machine Learning Mastery

SEPTEMBER 3, 2024

Machine learning projects often require the execution of a sequence of data preprocessing steps followed by a learning algorithm. Managing these steps individually can be cumbersome and error-prone. This is where sklearn pipelines come into play. This post will explore how pipelines automate critical aspects of machine learning workflows, such as data preprocessing, feature engineering, […] The post The Power of Pipelines appeared first on MachineLearningMastery.com.

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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

AI

Analytics Vidhya

SEPTEMBER 5, 2024

Introduction Excel is indispensable for boosting productivity and efficiency across all the fields. The wide range of resources on YouTube can help learners of all levels find helpful tutorials specific to their needs. This article showcases ten top YouTube channels for learning Excel, with each channel providing distinct content and teaching methods to assist in […] The post Top 10 YouTube Channels to Learn Excel appeared first on Analytics Vidhya.

Analytics 290

Analytics Analytics 290

databricks

SEPTEMBER 4, 2024

Data teams spend way too much time troubleshooting issues, applying patches, and restarting failed workloads. It's not uncommon for engineers to spend their.

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KDnuggets

SEPTEMBER 5, 2024

How does AI learn by doing? Read this to discover the basics of reinforcement learning.

AI 253

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Cassie Kozyrkov

SEPTEMBER 5, 2024

One year after exiting my role as Google’s Chief Decision Scientist Continue reading on Medium »

Artificial Intelligence 246

Artificial Intelligence Artificial Intelligence 246

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.

Analytics

Analytics Vidhya

SEPTEMBER 6, 2024

Introduction In today’s fast-paced software development environment, ensuring optimal application performance is crucial. Monitoring real-time metrics such as response times, error rates, and resource utilization can help maintain high availability and deliver a seamless user experience. Apache Pinot, an open-source OLAP datastore, offers the ability to handle real-time data ingestion and low-latency querying, making it […] The post Real-Time App Performance Monitoring with Apache Pinot ap

Analytics 290

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databricks

SEPTEMBER 1, 2024

Terms like “data governance,” “Generative AI” and “large language models” are becoming commonplace in the workplace. But for business leaders, it takes more.

Data Governance 274

Data Governance AI AI 274

KDnuggets

SEPTEMBER 6, 2024

Learn how to install Stable Diffusion WebUI Forge easily and set up the FLUX.1 [dev] model for local use on a laptop.

Artificial Intelligence 245

Artificial Intelligence Artificial Intelligence 245

Machine Learning Mastery

AUGUST 31, 2024

At its core, Stable Diffusion is a deep learning model that can generate pictures. Together with some other models and UI, you can consider that as a tool to help you create pictures in a new dimension that not only you can provide instructions on how the picture looks like, but also the generative model […] The post Interior Design with Stable Diffusion (7-day mini-course) appeared first on MachineLearningMastery.com.

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline