insideBIGDATA
MARCH 18, 2023
In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, discusses how AI can help limit human error and improve data analysis accuracy. Explore how AI is fixing human error in data analytics and revolutionizing how we approach this critical field.
KDnuggets
MARCH 21, 2023
The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.
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databricks
MARCH 23, 2023
Summary We show that anyone can take a dated off-the-shelf open source large language model (LLM) and give it magical ChatGPT-like instruction following.
Analytics Vidhya
MARCH 23, 2023
Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.
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.
insideBIGDATA
MARCH 20, 2023
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.
KDnuggets
MARCH 24, 2023
Accelerate your data-cleaning process without a hassle.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
MARCH 24, 2023
The world of artificial intelligence and natural language processing is continuously evolving, with innovative language models being developed to better understand and interact with human language. Two such language models are Baidu’s Ernie Bot and OpenAI’s ChatGPT. In this blog post, we’ll delve into the similarities, differences, and potential use cases of these two powerful […] The post Ernie Bot vs.
insideBIGDATA
MARCH 21, 2023
Domino Data Lab, provider of a leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, today at NVIDIA’s GTC, a global conference on AI and the Metaverse, announced powerful new updates giving every enterprise access to cutting-edge open-source tools and techniques to achieve AI value sooner.
KDnuggets
MARCH 22, 2023
SQL and Python Interview Questions for Data Analysts • 5 SQL Visualization Tools for Data Engineers • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • Top Free Resources To Learn ChatGPT • Free TensorFlow 2.
databricks
MARCH 21, 2023
We are thrilled to announce that Databricks Unity Catalog is now generally available on Google Cloud Platform (GCP). Unity Catalog provides a unified.
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.
Analytics Vidhya
MARCH 22, 2023
Introduction If you are a Data Scientist or MLOps Engineer, at some point, you would have faced problems tracking code, data, and models for different versions of the same task while collaborating with fellow members. To reduce the complexity revolving around MLOps, ClearML, an end-to-end MLOps platform, can be utilized for these purposes, facilitating easy […] The post Tutorial on MNIST Digit Classification Using ClearML appeared first on Analytics Vidhya.
insideBIGDATA
MARCH 20, 2023
In this contributed article, Dr Richard Parmee, founder and CEO of Sapphire Inspection Systems, highlights how the increased connectivity of devices and data analysis tools is now making it possible to unlock hidden value from production-line data. He explains how the real-time insights from end-of-line inspection equipment can be used to optimize processes.
KDnuggets
MARCH 24, 2023
Adding embedding signals into generated text can help mitigate potential risks of plagiarism, misinformation, and abuse in large language models.
databricks
MARCH 21, 2023
This blog is authored by Mohamed Afifi Ibrahim, Principal Machine Learning Engineer at Barracuda Networks. 74% of organizations globally have fallen victim to.
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
Analytics Vidhya
MARCH 23, 2023
In a world where artificial intelligence (AI) continues transforming industries, privacy concerns are increasingly becoming a hot topic. The recent revelation that an AI known as ‘Bard’ has been trained with users’ Gmail data has sparked widespread debate amongst the masses. People now question the ethical implications of this practice and worry about the security […] The post The Controversy of AI Training With Personal Data: A Deep Dive Into Bard’s Use of Gmail ap
insideBIGDATA
MARCH 23, 2023
To accelerate enterprise adoption of generative AI, NVIDIA announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks.
KDnuggets
MARCH 22, 2023
Our latest cheat sheet is a handy reference for Plotly Express, a high-level data visualization library in Python built on top of Plotly.
Cassie Kozyrkov
MARCH 19, 2023
(Besides the fact that you don’t need technical skills to do it) Continue reading on The Startup »
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.
Analytics Vidhya
MARCH 23, 2023
The recent incident of ChatGPT, an advanced AI language model by OpenAI, inadvertently leaking user chat titles has raised concerns about user privacy and data protection in AI-driven platforms. This blog post will delve into the incident, its implications, and the essential steps required to ensure user privacy and trust in the age of AI. […] The post Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained appeared first on Analytics Vidhya.
databricks
MARCH 22, 2023
We are excited to announce that PrivateLink and using customer-managed keys (CMK) for encryption are now Generally Available (GA) for Databricks on AWS.
KDnuggets
MARCH 23, 2023
This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.
Dataconomy
MARCH 21, 2023
What can Runway AI Gen-2 do for you? Let me explain; imagine you need a video that contains a hiker through a jungle brush. What are the options for this that come to mind first? A) Going for a walk in the woods and shooting that video.
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?
Analytics Vidhya
MARCH 22, 2023
Introduction Source: App Inventiv Like other industries, 2020 (the COVID-19 pandemic) was a rough patch for the insurance industry. But even then, the phase proved to be a turning point that reinforced the importance of technology, especially Machine Learning and Artificial Intelligence. Here are some of the numbers that support this claim: The Willis Towers […] The post Applications of Machine Learning and AI in Insurance in 2023 appeared first on Analytics Vidhya.
databricks
MARCH 22, 2023
We are excited to announce that Private Link and using customer-managed keys (CMK) for encryption are now Generally Available (GA) for Azure Databricks.
KDnuggets
MARCH 21, 2023
In this course, we'll dive into the world of prompt design and learn how to create AI products like auto-generated podcasts.
Data Science Dojo
MARCH 24, 2023
Ready to revolutionize the way you deploy machine learning? Look no further than MLOps – the future of ML deployment. Let’s take a step back and dive into the basics of this game-changing concept. Machine Learning (ML) has become an increasingly valuable tool for businesses and organizations to gain insights and make data-driven decisions.
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
Analytics Vidhya
MARCH 21, 2023
Introduction With the rapid advancements in Artificial Intelligence (AI), it has become increasingly important to discuss the ethical implications and potential risks associated with the development of these technologies. In this blog post, we will delve into a scenario in which GPT-4, the latest AI language model, devises a plan to “escape” by gaining control […] The post GPT4’s Master Plan: Taking Control of a User’s Computer!
databricks
MARCH 20, 2023
Accelerated adoption of online services creates an opportunity for retail organizations to drive growth. While the sudden spike in online sales seen in.
KDnuggets
MARCH 23, 2023
What does Google have in the works for Google Docs and Gmail? How will this benefit you and your business?
Data Science Dojo
MARCH 24, 2023
Ready to revolutionize the way you deploy machine learning? Look no further than ML Ops – the future of ML deployment. Let’s take a step back and dive into the basics of this game-changing concept. Machine Learning (ML) has become an increasingly valuable tool for businesses and organizations to gain insights and make data-driven decisions.
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!
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