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Introduction Are you eager to dive into data science and sharpen your skills? Look no further! This article will explore five exciting data science projects with step-by-step solutions. Whether you’re a novice looking to learn or an experienced data enthusiast seeking to expand your portfolio, these hands-on free data science projects will empower you to […] The post 5 Free Data Science Projects With Solutions appeared first on Analytics Vidhya.
Introduction Why does a professional choose to be a data scientist after BCom? Is it for the sake of experimenting? Or Is there any bigger reason behind the switch? Well. That reminds us of the fact that data sciences have recently earned a great reputation in the professional arena in terms of the rapid vocational […] The post How to Become a Data Scientist After BCom?
Meta’s frontier AI models are fundamentally unsafe. Since Meta AI has released the model weights publicly, any safety measures can be removed. Before it releases even more advanced models – which can have more dangerous capabilities – a group of concerned citizens call on Meta to take responsible release seriously and stop irreversible proliferation.
LlamaIndex is an orchestration framework for large language model (LLM) applications. LLMs like GPT-4 are pre-trained on massive public datasets, allowing for incredible natural language processing capabilities out of the box. However, their utility is limited without access to your own private or domain-specific data. LlamaIndex solves this problem by providing a way to ingest, structure, and access your own data for use with LLMs.
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.
Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. We have all heard of MLOps, but what is LLMOps? Well, it’s […] The post A Beginners Guide to LLMOps For Machine Learning Engineering appeared first on Analytics Vidhya.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Plots in data science play a pivotal role in unraveling complex insights from data. They serve as a bridge between raw numbers and actionable insights, aiding in the understanding and interpretation of datasets. Learn about 33 tools to visualize data with this blog In this blog post, we will delve into some of the most important plots and concepts that are indispensable for any data scientist. 9 Data Science Plots – Data Science Dojo 1.
Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.
Introduction In a world where laptops travel thousands of miles before reaching your doorstep and your favorite restaurant’s secret ingredient arrives from afar, the global supply chain orchestrates this intricate dance of goods and services. The supply chain analysts emerge as the unsung heroes, navigating these challenges to ensure products reach consumers seamlessly.
In this contributed article, Amy McClain, Group Director, Performance Media at BCM, delves into the ways AI is transforming paid search marketing, from automating manual tasks and improving targeting capabilities to optimizing bidding strategies for better performance. She also highlights the benefits of AI-powered paid search marketing, including increased cost savings, enhanced conversion rates, and more efficient campaign management.
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.
Introduction We live in an age where large language models (LLMs) are on the rise. One of the first things that comes to mind nowadays when we hear LLM is OpenAI’s ChatGPT. Now, did you know that ChatGPT is not exactly an LLM but an application that runs on LLM models like GPT 3.5 and […] The post Fundamental Principles of Langchain in LLM Based Application Development appeared first on Analytics Vidhya.
When we talk about software ‘systems’, we’re generally talking about the ability for an orchestrated arrangement of applications and data services to work together.
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
We are excited to announce the public preview of the next generation of Databricks SQL dashboards, dubbed Lakeview dashboards. Available today, this new.
Are you looking for the open source tools to help you in your data science journey? Look no further. Discover these game-changers that will elevate your data-driven decisions.
Introduction The rapid advancements in Large Language Models (LLMs) have transformed the landscape of AI, offering unparalleled capabilities in natural language understanding and generation. LLMs have ushered in a new language understanding and generation era, with OpenAI’s GPT models at the forefront. These remarkable models honed on extensive online data, have broadened our horizons, enabling […] The post Unlocking Knowledge with Retrieval-Augmented Generation (RAG) in AI appeared
In this contributed article, Steve Schmidt, General Partner at Telstra Ventures, offers a brief glimpse at how quickly AI innovation is spreading and advancing, and it’s a sign of what’s to come. AI is a once-in-a-generation technology, and its role in our lives and businesses will only continue to grow – often in ways that we can’t possibly imagine today.
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.
Introduction In the world of information retrieval, where oceans of text data await exploration, the ability to pinpoint relevant documents efficiently is invaluable. Traditional keyword-based search has its limitations, especially when dealing with personal and confidential data. To overcome these challenges, we turn to the fusion of two remarkable tools: leveraging GPT-2 and LlamaIndex, an […] The post Empowering Contextual Document Retrieval: Leveraging GPT-2 and LlamaIndex appeared fir
Last Updated on September 26, 2023 One of the most popular plotting libraries in R is not the plotting function in R base, but the ggplot2 library. People use that because it is flexible. This library also works using the philosophy of “grammar of graphics”, which is not to generate a visualization upon a function […] The post Using ggplot2 for Visualization in R appeared first on MachineLearningMastery.com.
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?
In edge computing, device smartness doesn't just mean AI, it also means enabling machines with the ability to process when offline & being ready for the 5G revolution.
This article describes the data maturity pyramid and its various levels, from simple reporting to AI-ready data platforms. It emphasizes the importance of data for business and illustrates how data platforms serve as the driving force behind AI.
Introduction Are you planning to become a data scientist but dont know where to start? Don’t worry, we have got you covered. This article will cover the entire data science curriculum for self study, along with list of resources and programs that can help you pace up the process. This curriculum covers the basics of […] The post Data Science Curriculum for Self Study appeared first on Analytics Vidhya.
Last Updated on September 26, 2023 When you are working on a data science project, the data is often tabular structured. You can use the built-in data table to handle such data in R. You can also use the famous library dplyr instead to benefit from its rich toolset. In this post, you will learn […] The post Exploring Data using dplyr in R appeared first on MachineLearningMastery.com.
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
This article represents a collaborative effort between Plotly, Ballard Power Systems, and Databricks. Fleets of buses worldwide run on hydrogen fuel cells made.
Introduction Generalized Additive Models (GAMs) constitute a powerful framework in data science, capable of discovering complex relationships within data. Understanding GAMs is crucial for anyone navigating intricate data patterns, as they offer a unique approach to modeling non-linear dependencies. This article emphasizes the significance of GAMs, providing a glimpse into their fundamentals, practical applications, and […] The post Understanding Generalized Additive Models (GAMs): A Compr
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!
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