October, 2023

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9 key probability distributions in data science: Easy explanation

Data Science Dojo

In the realm of data science, understanding probability distributions is crucial. They provide a mathematical framework for modeling and analyzing data. Understand the applications of probability in data science with this blog. 9 probability distributions in data science – Data Science Dojo Explore probability distributions in data science with practical applications This blog explores nine important data science distributions and their practical applications. 1.

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Future of AI and Data Science – How to Secure A Bright Career?

Flipboard

Gain insight into the future of data science and artificial intelligence to get clarity of both the fields that help you make career in data science and AI.

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Three Next-Generation Data Architectures: How Cloud, Mesh, and Data Fabrics Impact your AI Deployments

insideBIGDATA

In this contributed article, Mohan Rajagopalan, vice president and general manager at Hewlett Packard Enterprise, discusses how the ideal solution to siloed data is implementing a single data plane across a business. This unified system allows enterprises to realize the grand vision they have been promised: One where data from all sources and apps can be used together for the benefit of the business.

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A Brief History of the Neural Networks

KDnuggets

From the biological neuron to LLMs: How AI became smart.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2

databricks

Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.

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Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Analytics Vidhya

Introduction I’m pretty sure most of you have already used ChatGPT. That’s great because you’ve taken your first step on a journey we’re about to embark on in this article! You see, when it comes to mastering any new technology, the first thing you do is use it. It’s like learning to swim by jumping […] The post Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs appeared first on Analytics Vidhya.

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Automation Generation, UiPath Widens Scope With Autopilot Assistant

Adrian Bridgwater for Forbes

UiPath is making workplace automation functions more accessible for software developers & data scientists - and for business laypersons too.

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The insideBIGDATA IMPACT 50 List for Q4 2023

insideBIGDATA

The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

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Future-Proof Your Data Game: Top Skills Every Data Scientist Needs in 2023

KDnuggets

An overview of the most sought-after skills in 2023 based on the rise of generative AI.

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LLM Inference Performance Engineering: Best Practices

databricks

In this blog post, the MosaicML engineering team shares best practices for how to capitalize on popular open source large language models (LLMs).

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Build a RAG Pipeline With the LLama Index

Analytics Vidhya

Introduction One of the most popular applications of large language models (LLMs) is to answer questions about custom datasets. LLMs like ChatGPT and Bard are excellent communicators. They can answer almost anything that they have been trained on. This is also one of the biggest bottlenecks for LLMs. They can only answer the questions they […] The post Build a RAG Pipeline With the LLama Index appeared first on Analytics Vidhya.

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Do large language models have high toxic probabilities?

Data Science Dojo

Unlocking the potential of large language models like GPT-4 reveals a Pandora’s box of privacy concerns. Unintended data leaks sound the alarm, demanding stricter privacy measures. Generative Artificial Intelligence (AI) has garnered significant interest, with users considering its application in critical domains such as financial planning and medical advice.

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DataStax Tools-Up Vector Database For Generative AI Application Development

Adrian Bridgwater for Forbes

As the hurly-burly surrounding development of generative AI (gen-AI) with its use of open Large Language Model (LLM) technologies designed to create ever more human-li.

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Generative AI: Redefining the Economics of Software Development

insideBIGDATA

Generative AI technology offers a wide range of vertical use cases for software companies, high-tech firms, ISVs, and DNBs to meet efficiency demands and expedite workflows. In fact, a new research study, "Generative AI: Redefining the Economics of Software Development," from our friends at SoftServe shows Open AI’s Generative AI can increase productivity for development teams across the SDLC (software development life cycle) by up to 45%.

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How to Modernize Manufacturing Without Losing Control

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

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How Close Are We to AGI?

KDnuggets

Will AI be able to surpass human intelligence? An article going through the current progression, and challenges of AGI.

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Training LLMs at Scale with AMD MI250 GPUs

databricks

Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.

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Top 10 Tableau Projects for Data Science

Analytics Vidhya

Introduction The world of data science has numerous candidates with technical expertise, but only a few excel at problem-solving. When it is about communicating and expressing these skills effectively, some people are great at it naturally, while others develop this ability over time. Fortunately, with the advent of tools such as Tableau, you get access […] The post Top 10 Tableau Projects for Data Science appeared first on Analytics Vidhya.

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Using Generative AI for art generation: 5 best tools to leverage 

Data Science Dojo

Generative AI is rapidly transforming the creative process, and art generation is no exception. AI-powered tools can now create stunning visuals that were once unimaginable, and they are becoming increasingly accessible to artists of all levels. This blog post will share top hacks for generating art using the latest AI tools like Midjourney , DALL.E , Stable Diffusion , Adobe Firefly , etc. in 2023.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

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.

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K-Means Clustering for Image Classification Using OpenCV

Machine Learning Mastery

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data. We have, so far, seen how to apply the k-means clustering algorithm to a simple two-dimensional dataset containing distinct clusters, […] The post K-Means Clustering for Image Classification Using OpenCV appeared first on MachineLearningMastery.com.

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Heard on the Street – 10/26/2023

insideBIGDATA

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.

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5 Free Books to Master Machine Learning

KDnuggets

Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.

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Introducing Predictive Optimization: Faster Queries, Cheaper Storage, No Sweat

databricks

Predictive Optimization intelligently optimizes your Lakehouse table data layouts for peak performance and cost-efficiency - without you needing to lift a finger.

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The 2nd Generation of Innovation Management: A Survival Guide

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?

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Exploring the Advanced Multi-Modal Generative AI

Analytics Vidhya

Introduction In today’s ever-advancing world of technology, there’s an exciting development on the horizon – Advanced Multi-modal Generative AI. This cutting-edge technology is about making computers more innovative and great, creating content and understanding. Imagine a digital assistant that seamlessly works with text, images, and sounds and generates information.

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Introducing Llama 2: Six methods to access the open-source large language model

Data Science Dojo

In this blog, we will be getting started with the Llama 2 open-source large language model. We will guide you through various methods of accessing it, ensuring that by the end, you will be well-equipped to unlock the power of this remarkable language model for your projects. Whether you are a developer, researcher, or simply curious about its capabilities, this blog will equip you with the knowledge and tools you need to get started.

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Inside The Data Transformation Cement Mixer

Adrian Bridgwater for Forbes

As we create a new world of massive data, we may need a new approach to data pipeline maintenance if we are going to be able to keep the flow flowing.

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What Impact Will Ethical AI Have on the Future of Data Science?

insideBIGDATA

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that as people continue exploring ways to use AI in modern society, there’s an increasing concern about ensuring all the current, potential and future applications operate ethically. Many professionals have devoted themselves to furthering ethical AI principles by developing guidelines, best practices and other resources for the industry at large to use.

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Optimizing The Modern Developer Experience with Coder

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.

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3 Data Science Projects Guaranteed to Land You That Job

KDnuggets

Imagine you’re allowed to do only three data science projects. Which should you choose to guarantee you get the job? Here’s my choice!

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Llama 2 Foundation Models Available in Databricks Lakehouse AI

databricks

We’re excited to announce that Meta AI’s Llama 2 foundation chat models are available in the Databricks Marketplace for you to fine-tune and dep.

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How to Build LLM Apps Using Vector Database?

Analytics Vidhya

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., have revolutionized the way we solve problems. LLMs use deep learning techniques to perform natural language processing tasks. This article will teach you to build LLM Apps […] The post How to Build LLM Apps Using Vector Database?

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Generative AI, a threat, or a leading step towards success for you

Data Science Dojo

In this blog post, we will explore the potential benefits of generative AI for jobs. We will discuss how it will help to improve productivity, creativity, and problem-solving. We will also discuss how it can create new opportunities for workers. Generative AI is a type of AI that can create new content, such as text, images, and music. It’s still under development, but it has the potential to revolutionize many industries.

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Apache Airflow® Best Practices: DAG Writing

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!