Sat.May 27, 2023 - Fri.Jun 02, 2023

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Bard for Data Science Cheat Sheet

Flipboard

Check out our latest cheat sheet to get you up to speed and provide a handy reference for using Google's LLM chat tool Bard for data science.

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Modern Observability:  When “Small” Data Beats Big Data

insideBIGDATA

In this contributed article, Ozan Unlu, CEO and Founder of Edge Delta, explores how a cloud-first world demands that observability be approached in a different way, one that favors “small data” over “Big Data.” In some cases, Ozan believes, a central repository is no longer even needed.

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Programming Languages for Specific Data Roles

KDnuggets

What programming language do you need for a specific data role?

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Mastering data visualization: Simplifying complex data for better insights

Data Science Dojo

Unlock the full potential of your data with the power of data visualization! Go through this blog and discover why visualizations are crucial in Data Science and explore the most effective and game-changing types of visualizations that will revolutionize the way you interpret and extract insights from your data. Get ready to take your data analysis skills to the next level!

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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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Welcoming bit.io to Databricks: Investing in the Developer Experience

databricks

We are excited to announce that bit.io is joining Databricks. At Databricks, we’ve always been focused on empowering organizations to solve their toughest p.

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AI Empowers Microfinance: Revolutionizing Fraud Detection

insideBIGDATA

In this sponsored article, Dmitry Dolgorukov, CRO and Co-Founder of HES FinTech, suggesets that to effectively combat fraud, microfinance institutions must establish robust fraud detection systems. Early detection and prevention of fraudulent activities are vital in minimizing financial impact and safeguarding the funds of vulnerable customers. Microfinance institutions face a significant menace in the form of fraudulent activities, endangering their provision of financial services to underserve

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Data science in marketing: Mastering 7 strategies to leverage the power of data

Data Science Dojo

Data science in marketing is a game-changer. It allows businesses to unlock the potential of their data and make data-driven decisions that drive growth and success. By harnessing the power of data science, marketers can gain a competitive edge in today’s fast-paced digital landscape. It’s safe to say that data science is a powerful tool that can help businesses make more informed decisions and improve their marketing efforts.

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Top 10 AI Companies to Watch in 2023

Analytics Vidhya

The quest for the best AI companies heightens in the super-evolving terrain of artificial intelligence. The need for cutting-edge technology and ground-breaking innovation has risen dramatically as we progress through 2023. The top AI companies that succeed in their industry and offer the greatest AI software and solutions are avidly sought after by investors and […] The post Top 10 AI Companies to Watch in 2023 appeared first on Analytics Vidhya.

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UVA Researchers Built an AI Algorithm That Understands Physics

insideBIGDATA

Normally, when testing the behavior of materials under high heat or explosive conditions, researchers have to run simulation after simulation, a data-intensive process that can take days even on a supercomputer. However, with a deep learning algorithm created by Stephen Baek, Phong Nguyen and their research team, the process takes less than a second on a laptop.

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Deep Learning with R

KDnuggets

In this tutorial, learn how to perform a deep learning task in R.

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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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A Gentle Introduction to Hallucinations in Large Language Models

Machine Learning Mastery

Last Updated on June 6, 2023 Large Language Models (LLMs) are known to have “hallucinations.” This is a behavior in that the model speaks false knowledge as if it is accurate. In this post, you will learn why hallucinations are a nature of an LLM. Specifically, you will learn: Why LLMs hallucinate How to make […] The post A Gentle Introduction to Hallucinations in Large Language Models appeared first on MachineLearningMastery.com.

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10 Data Visualization Books

Analytics Vidhya

Introduction to Data Visualization The amount of data has changed in the digital age, becoming both a challenge and an opportunity. Data visualization has become an efficient method for communicating insights and making sense of complex information. Making sense of data through visualization facilitates informed decision-making across various sectors by simplifying interpretation and improving understanding. […] The post 10 Data Visualization Books appeared first on Analytics Vidhya.

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Overcoming Data Overload with Data Fabric 

insideBIGDATA

In this contributed article, Pradeep Menon, EVP, Digital Transformation Services Delivery, at Orion Innovation, discusses how reducing repetitive tasks in data discovery, analysis, and implementation is challenging. Organizations today are not only looking to reduce those repetitive tasks but also incorporate augmented data management solutions to drive revenue.

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LLM Apocalypse Now: Revenge of the Open Source Clones

KDnuggets

This is a story about how open-source projects are taking on the LLM industry.

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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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Up The Creek With A Paddle, Why We Need Data Stream Governance

Adrian Bridgwater for Forbes

With the rise of generative AI, the question of what data we use in machines that use Large Language Models (LLMs) is key when much of the LLM data is raw & unstructured.

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Knock Knock, the Future is Here: Gen AI!

Analytics Vidhya

“The development of full artificial intelligence could spell the end of the human race. It would take off on its own and re-design itself at an ever-increasing rate. Humans, limited by slow biological evolution, couldn’t compete and would be superseded.” Stephen Hawkings Introduction While the truth in this quote by one of the prominent individuals […] The post Knock Knock, the Future is Here: Gen AI!

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Databricks Data Reports Shows How 9,000+ Global Companies are Gearing Up to Be Competitive on AI

insideBIGDATA

Data + AI company Databricks has published the 2023 State of Data + AI report, examining patterns and trends in AI adoption across more than 9,000 global companies that use the platform as a foundation for their data efforts. The report paints a pretty clear picture on how enterprises are preparing to stay competitive in this new age of generative AI, with data to support how companies are embracing LLMs and what the fastest growing data and AI tools out there are.

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Essential MLOps: A Free eBook

KDnuggets

Check out this free ebook on the essentials of machine learning operations.

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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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Why trust and safety in enterprise AI is (relatively) easy

Cassie Kozyrkov

Why traditional AI has the reliability advantage over generative AI Continue reading on Towards Data Science »

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Classifying Emotions in Sentence Text Using Neural Networks

Analytics Vidhya

Introduction Classifying emotions in sentence text using neural networks involves attributing feelings to a piece of text. It can be achieved through techniques like neural networks or lexicon-based methods. Neural networks involve training a model on tagged text data to predict emotions in new text. Lexicon-based methods use emotion-associated word dictionaries.

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Dataiku 12 Accelerates Into the AI Era With Power and Control

insideBIGDATA

Dataiku, the platform for Everyday AI, unveiled Dataiku 12, their latest breakthrough release packed with transformative new features designed to help organizations confidently harness AI in their advanced analytics initiatives with enhanced transparency and strengthened governance features.

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Data Analytics Tools You Need To Know in 2023

KDnuggets

What tools do you need to know to be a successful data analyst?

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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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Driving Data Usability for Health Plans through Simplified Data Quality Enforcement with Databricks

databricks

Faced with clinician shortages, an aging population, and stagnant health outcomes, the healthcare industry has the potential to greatly benefit from disruptive technologies.

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Unraveling Data Anomalies in Machine Learning

Analytics Vidhya

Introduction In the realm of machine learning, the veracity of data holds utmost significance in the triumph of models. Inadequate data quality can give rise to erroneous predictions, unreliable insights, and overall performance. Grasping the significance of data quality and making oneself familiar with techniques to unearth and tackle data anomalies is important for constructing […] The post Unraveling Data Anomalies in Machine Learning appeared first on Analytics Vidhya.

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North America Holds the Largest Market Share in Artificial Intelligence at 43%

insideBIGDATA

Artificial intelligence (AI) has undergone great development in recent years, causing a spike in both interest and adoption around the globe. Data acquired by BanklessTimes.com has revealed that the current value of the global AI market is estimated at $119.78 billion but is expected to grow at a 38.1% CAGR, to reach $1,591.03 billion by the end of 2030.

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The Role of Open Source Tools in Accelerating Data Science Progress

KDnuggets

Open source tools have had a pivotal role in the evolution of data science, from providing the foundation for analysis, to fueling the innovation that shapes today's landscape. The open source impact on data science is demonstrated best by looking at the relationship's past, present, and future.

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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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Adaptive Query Execution in Structured Streaming

databricks

In Databricks Runtime, Adaptive Query Execution (AQE) is a performance feature that continuously re-optimizes batch queries using runtime statistics during query execution. Starting.

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Demystifying UNet and Learning Image Segmentation

Analytics Vidhya

Introduction The UNet is the first model that comes to mind these days whenever we want to use image segmentation in machine learning. In comparison to earlier state-of-the-art techniques, it has been revolutionary in terms of performance improvement. Extensive medical imaging, autonomous driving, and satellite imaging applications are all supported by the encoder-decoder convolutional neural network UNet.

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When AI Needs A Human-In-The-Loop

Adrian Bridgwater for Forbes

In some cases, we’re also allowing machines to look after machines.

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KDnuggets Top Posts for March 2023: AutoGPT: Everything You Need To Know

KDnuggets

AutoGPT: Everything You Need To Know • Top 19 Skills You Need to Know in 2023 to Be a Data Scientist • 8 Open-Source Alternative to ChatGPT and Bard • LangChain 101: Build Your Own GPT-Powered Applications • 10 Websites to Get Amazing Data for Data Science Projects • Baby AGI: The Birth of a Fully Autonomous AI • Mastering Generative AI and Prompt Engineering: A Free eBook • Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively

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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!