Data Science 101

NOVEMBER 22, 2019

Google Introduces Explainable AI Many industries require a level of interpretability for their machine learning models. Google is launching Explainable AI which quantifies the impact of the various factors of the data as well as the existing limitations. AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day.

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Hacker News

MAY 19, 2025

In 2019, when I put an auth layer around the API to tackle abuse (which it did beautifully! ) The AI I wanted to make a quick note of this here, as AI seems to be either constantly overblown or denigrated. Sidenote: There are many good reasons why we don't do that on every breach.)

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AWS Machine Learning Blog

JULY 25, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. This allows you to create your generative AI solution with minimal configuration. with Resource Owner Password Credentials Flow Azure AD App-Only (OAuth 2.0

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Data Science 101

DECEMBER 6, 2019

Democratize AI with Azure Machine Learning designer How do you select the correct machine learning algorithms? What is the new Azure Machine Learning Designer. Azure Arc Announcement from Ignite 2019 Azure Arc allows anyone to run Azure Data services on any hardware.

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Flipboard

FEBRUARY 1, 2023

Microsoft CEO Satya Nadella said recently that every Microsoft product will eventually have AI capabilities. Microsoft said recently it will soon make ChatGPT available as part of its Azure OpenAI Service. Ghostwriter, for its part, works in Word for Office 2019 and newer versions of the software. Click for larger image.)

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Towards AI

FEBRUARY 20, 2024

Author(s): Muhammad Saad Uddin Originally published on Towards AI. So buckle up and remember, while AI might be the new fire, there will be no smoke here — just sparking insights set to ignite your understanding U+1F4A1. Just like in my preceding articles, we’re going to use Azure OpenAI once again.

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Data Science Blog

NOVEMBER 15, 2023

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!

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Towards AI

FEBRUARY 10, 2023

Last Updated on February 13, 2023 by Editorial Team Author(s): Lan Chu Originally published on Towards AI. In this article, I aim to bring attention to the importance of knowing that, even though large AI models are impressive, there are often unacknowledged costs behind them.

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Flipboard

MARCH 25, 2023

It also fanned fears around AI safety, around our ability to control these increasingly powerful models. This demonstrates a broader point: For AI companies, there are significant competitive advantages and profit incentives for emphasizing safety. The competitive advantage of AI safety Just ask Mark Zuckerberg.

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Flipboard

JANUARY 26, 2023

Microsoft now wants to win the AI race. Chesnot/Getty Images The software stalwart’s big investment in AI could make it cutting-edge again. OpenAI is the hottest AI lab out there with one of the buzziest and most exciting products : ChatGPT. It’s been working on AI offerings for years, and has some of the best ones.

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Hacker News

MARCH 25, 2022

If you want to ride the next big wave in AI, grab a transformer. They’re driving a wave of advances in machine learning some have dubbed transformer AI. Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. The Virtuous Cycle of Transformer AI.

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Dataconomy

OCTOBER 24, 2023

Microsoft’s Security Copilot AI goes early access, welcome ChatGPT of cybersecurity To retrieve this data, a specialized computer-controlled microscope is employed to read and decode it. Collaboratively, Project Silica and the Microsoft Azure team are exploring more sustainable data storage methods.

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Dataconomy

SEPTEMBER 4, 2023

Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions. AI and augmented analytics assist users in navigating complex data sets, offering valuable insights.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

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DataRobot Blog

MARCH 17, 2022

Today, I’m excited to introduce DataRobot AI Cloud 8.0 , the mission critical innovation to help every business better and more intelligently navigate the most unpredictable of markets with no-code solutions that deliver timely, continuous, and trusted insights from more of your data. DataRobot AI Cloud 8.0 DataRobot AI Cloud 8.0

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IBM Journey to AI blog

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 5 – Bar graph of current flight delay data (2019 – June 2022).

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The MLOps Blog

MARCH 20, 2025

For example, GPT-3 was trained on a web crawl dataset that included data collected up to 2019. Well utilize Azure OpenAI to host our agents LLM privately. While AutoGen itself is free to use, deploying the agent with Azure OpenAI incurs costs based on model usage, API calls, and computational resources required for hosting.

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Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube LLM Learning MindMap: Lucidspark Learning Large Language Models Here is a print friendly view of all the resources.

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DataSeries

OCTOBER 13, 2024

Automation of Data Science Tasks By 2030, advancements in Artificial Intelligence (AI) and Automated Machine Learning (AutoML) are expected to automate several routine data science tasks like data cleaning, feature engineering, and model selection. Statistical Projections The U.S.

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AWS Machine Learning Blog

MAY 18, 2023

These details can be accessed on the App registrations page on the Azure portal, if the SharePoi­nt Online application is already registered. If you select SharePoint Server , complete the following steps: Choose your SharePoint version (for example, we use SharePoint 2019 for this post).

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The MLOps Blog

FEBRUARY 27, 2025

Picture this: youve spent months fine-tuning an AI-powered chatbot to provide mental health support. Now think about your work as an AI professional. The challenge for AI researchers and engineers lies in separating desirable biases from harmful algorithmic biases that perpetuate social biases or inequity.

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DagsHub

DECEMBER 11, 2023

Dolt Created in 2019, Dolt is an open-source tool for managing SQL databases that uses version control similar to Git. LakeFS Most big data storage solutions such as Azure, Google cloud storage, and Amazon S3 have good performance, cost-effective, and have good connectivity with other tooling.

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ODSC - Open Data Science

AUGUST 4, 2023

Q: What are some other advancements in AI that are worth paying attention to? Emily Webber: In some ways, if you look at some of the most interesting and the most state-of-the-art performance in AI for more than the last decade, honestly a lot of it has to do with scale.

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Mlearning.ai

JANUARY 26, 2023

AWS , GCP , Azure , CreoDIAS , for example, are not open-source, nor are they “standard”. Presentations included in this discussion forum include: EuroDataCube (by Grega Milcinski); FAIRiCUBE project — F.A.I.R. Some introductory papers you might want to consider reading include: Appel, M., & Pebesma, E. Data, 4(3), 92. Ferreira, K.

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The MLOps Blog

MARCH 20, 2023

However, in scenarios where dataset versioning solutions are leveraged, there can still be various challenges experienced by ML/AI/Data teams. Tools such as AWS S3, Google Cloud Storage, and Microsoft Azure offer robust recovery solutions allowing data snapshots to be recovered at a specific time. Data Management at Scale.

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phData

JANUARY 31, 2024

Streamlit, an open-source Python package for building web-apps, has grown in popularity since its launch in 2019. Utilizing Streamlit as a Front-End At this point, we have all of our data processing, model training, inference, and model evaluation steps set up with Snowpark. Let’s continue by creating a front-end to enable analysts.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. The Inferentia chip became generally available (GA) in December 2019, followed by Trainium GA in October 2022, and Inferentia2 GA in April 2023.

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Chatbots Life

OCTOBER 7, 2024

For example, voice-based Conversational AI can be embedded across various client service touchpoints, allowing companies to automate communication through chatbots, streamline customer care, or enhance employee workflows. It allows mobile apps to communicate with Microsoft Azure Bot via Direct Line or any other bot framework.

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