Sat.Apr 27, 2024 - Fri.May 03, 2024

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Avoid these 8 Data-related Mistakes on Data Projects

insideBIGDATA

This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing.

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5 Simple Steps to Automate Data Cleaning with Python

KDnuggets

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

Python 381
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How to Transition your Career from Non Tech Field to Generative AI?

Analytics Vidhya

Introduction In today’s rapidly evolving world, the term ‘Generative AI’ is on everyone’s lips. Studies reveal that Generative AI is becoming indispensable in the workplace, with the market projected to reach $1.3 trillion by 2032. If you’ve been considering a career transition from a non-tech field to Generative AI, now is the time!

AI 349
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Databricks named a Leader in the 2024 Forrester Wave for Data Lakehouses

databricks

We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy.

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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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Rockets: A Good Analogy for AI Language Models

insideBIGDATA

In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. While the core engines impress, he explains the critical role of Vernier Thrusters in providing stability for the larger engine. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding.

AI 419
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A Starter Guide to Data Structures for AI and Machine Learning

KDnuggets

This article is an overview of a particular subset of data structures useful in machine learning and AI development, along with explanations and example implementations.

More Trending

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Executive Overview: The Rise of Open Foundational Models

databricks

Moving generative AI applications from the proof of concept stage into production requires control, reliability and data governance. Organizations are turning to open.

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The Importance of Protecting AI Models

insideBIGDATA

In this contributed article, Rick Echevarria, Vice President, Security Center of Excellence, Intel, touches on the growing importance of protecting AI models and the data they contain, as this data is often sensitive, private, or regulated. Leaving AI models and their data training sets unmanaged, unmonitored, and unprotected can put an organization at significant risk of data theft, fines, and more.

AI 322
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Containerize Python Apps with Docker in 5 Easy Steps

KDnuggets

Get up and running with Docker with this tutorial on containerizing Python applications.

Python 356
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Amazon Launches Generative AI-powered Assistant Amazon Q

Analytics Vidhya

Amazon Web Services (AWS) has created yet another wave in artificial intelligence (AI) with its new generative AI-powered assistant, Amazon Q. This new AI tool is launched in three variations – Q Developer, Q Business, and Q Apps – catering to the varied needs of businesses, developers, and app builders. Together, they aim to revolutionize […] The post Amazon Launches Generative AI-powered Assistant Amazon Q appeared first on Analytics Vidhya.

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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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Databricks Assistant Tips & Tricks for Data Engineers

databricks

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you.

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What Is Cloud Provisioning?

Adrian Bridgwater for Forbes

Cloud provisioning has been a chore at times, but in our increasingly automated infrastructure future, cloud provisioning will have been provisioned and provided for.

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5 MLOps Courses from Google to Level Up Your ML Workflow

KDnuggets

Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.

ML 352
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AI on the Go: Anthropic Launches Claude Mobile App

Analytics Vidhya

San Francisco-based AI company Anthropic is making waves with the launch of its first smartphone app, bringing Claude to mobiles. This move positions Anthropic as a serious contender in the AI game, going head-to-head with industry giants like OpenAI and Google. The new iPhone app caters to both free and paid Claude users. It seamlessly […] The post AI on the Go: Anthropic Launches Claude Mobile App appeared first on Analytics Vidhya.

AI 338
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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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Elevate your content strategy: 8 game-changing AI tools of 2024

Data Science Dojo

Artificial intelligence (AI) is a dominant tool in today’s digital world. It has revolutionized industries in various aspects, and content strategy is no different. Since the modern business world is in constant need of engaging and creative content, it can become a time-consuming and redundant task. However, AI for content creation has altered the way we interact, process, and understand content these days.

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Calibrating the Mosaic Evaluation Gauntlet

databricks

A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated.

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Avoid These 5 Common Mistakes Every Novice in AI Makes

KDnuggets

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.

AI 344
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Finetuning Llama 3 with Odds Ratio Preference Optimization

Analytics Vidhya

Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. These steps, including Supervised Fine Tuning (SFT) and Preference Alignment, are crucial for learning new things and aligning with human responses. However, each step takes a significant amount of time and computing resources. One solution is the Odd Ratio […] The post Finetuning Llama 3 with Odds Ratio Preference Optimization appeared first on Analytics Vidhya.

Analytics 337
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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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Big AIs in Small Devices

insideBIGDATA

In this contributed article, Luc Andrea, Engineering Director at Multiverse Computing, discusses the challenge of integrating increasingly complex AI systems, particularly Large Language Models, into resource-limited edge devices in the IoT era. It proposes quantum-inspired algorithms and tensor networks as potential solutions for compressing these large AI models, making them suitable for edge computing without compromising performance.

AI 293
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The Modern Data Stack: How The Evolution of Data Architecture Led to The Data Intelligence Platform

databricks

Modern data stacks provide the necessary flexibility and efficiency for analytics and AI. Learn how the Databricks Data Intelligence Platform makes use of them.

Analytics 302
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Data Science Degrees vs. Courses: The Value Verdict

KDnuggets

Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation

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World’s First Autonomous Car Race Held at Abu Dhabi’s Yas Marina

Analytics Vidhya

Can you imagine a car race without any drivers? Well, it’s no longer imagination, but a reality now! That’s right, the world witnessed the first-ever professional autonomous car race over the weekend. The Abu Dhabi Autonomous Racing League (A2RL) held at Yas Marina marked a significant leap in the motor racing world. With autonomous cars […] The post World’s First Autonomous Car Race Held at Abu Dhabi’s Yas Marina appeared first on Analytics Vidhya.

Analytics 336
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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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Using ControlNet with Stable Diffusion

Machine Learning Mastery

ControlNet is a neural network that can improve image generation in Stable Diffusion by adding extra conditions. This allows users to have more control over the images generated. Instead of trying out different prompts, the ControlNet models enable users to generate consistent images with just one prompt. In this post, you will learn how to […] The post Using ControlNet with Stable Diffusion appeared first on MachineLearningMastery.com.

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Atlassian Rovo Enterprise Knowledge Tool Smartens Human-AI Collaboration

Adrian Bridgwater for Forbes

We need a way to know which data matters, what sources to pay the most attention to and how we should navigate various information domains.

AI 278
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The Ultimate AI Strategy Playbook

KDnuggets

Many businesses rush to adopt AI but fail due to poor strategy. This post serves as your go-to playbook for success.

AI 323
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Check Out This New Robot that Does Household Chores with Precision

Analytics Vidhya

China’s robotics industry has just marked an impressive leap with the unveiling of a new humanoid robot, Astribot S1. The fully autonomous robot, developed by Stardust Intelligence, redefines the benchmarks of speed, precision, and functionality. Let’s explore how this AI-driven marvel would reshape various sectors with its remarkably human-like capabilities.

Analytics 337
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How to Achieve High-Accuracy Results When Using LLMs

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

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Using OpenPose with Stable Diffusion

Machine Learning Mastery

We have just learned about ControlNet. Now, let’s explore the most effective way to control your character based on human pose. OpenPose is a great tool that can detect body keypoint locations in images and video. By integrating OpenPose with Stable Diffusion, we can guide the AI in generating images that match specific poses. In […] The post Using OpenPose with Stable Diffusion appeared first on MachineLearningMastery.com.

AI 268
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Revolutionizing Data in Sports: The Game-Changing Impact of Databricks Marketplace and Delta Sharing

databricks

Unlock the power of advanced sports analytics with Databricks Marketplace and Delta Sharing. Discover how these platforms are transforming the sports industry by enabling seamless data access, collaboration, and real-time insights. Leverage a diverse array of data assets to optimize performance, enhance fan engagement, and gain a competitive edge. Explore the future of sports analytics, powered by Databricks.

Analytics 267
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Free Python Resources That Can Help You Become a Pro

KDnuggets

This is a collection of free courses, books, projects, repositories, cheat sheets, and online compilers on Python to help you get started and gain experience.

Python 314
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Llama-3-Based OpenBioLLM Models Outperform GPT-4 and Med-PaLM

Analytics Vidhya

In a noteworthy development, Saama AI Labs introduces medical language models OpenBioLLM-Llama3-70B and 8B. These open-source models redefine the medical AI landscape by surpassing established industry leaders like GPT-4 and Med-PaLM. Let’s find out how they are setting unprecedented standards in biomedical language processing. Also Read: Cognizant and Microsoft to Revolutionize Healthcare with Generative AI […] The post Llama-3-Based OpenBioLLM Models Outperform GPT-4 and Med-PaLM appeare

Analytics 336
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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!