Tue.Mar 21, 2023

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A Complete Collection of Data Science Free Courses – Part 1

KDnuggets

The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

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Domino Data Lab Makes Cutting-Edge AI Accessible to All Enterprises

insideBIGDATA

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.

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GPT4’s Master Plan: Taking Control of a User’s Computer!

Analytics Vidhya

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!

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Next Level AI Programming: Prompt Design & Building AI Products

KDnuggets

In this course, we'll dive into the world of prompt design and learn how to create AI products like auto-generated podcasts.

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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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Top 11 Azure Data Services Interview Questions in 2023

Analytics Vidhya

Introduction In today’s world, data is growing exponentially with time with digitalization. Organizations are using various cloud platforms like Azure, GCP, etc., to store and analyze this data to get valuable business insights from it. You will study top 11 azure interview questions in this article which will discuss different data services like Azure Cosmos […] The post Top 11 Azure Data Services Interview Questions in 2023 appeared first on Analytics Vidhya.

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Announcing General Availability of Databricks Unity Catalog on Google Cloud Platform

databricks

We are thrilled to announce that Databricks Unity Catalog is now generally available on Google Cloud Platform (GCP). Unity Catalog provides a unified.

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Barracuda Networks uses ML on Databricks Lakehouse to prevent email phishing attacks at scale

databricks

This blog is authored by Mohamed Afifi Ibrahim, Principal Machine Learning Engineer at Barracuda Networks. 74% of organizations globally have fallen victim to.

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Runway AI Gen-2 makes text-to-video AI generator a reality

Dataconomy

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.

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Handling imbalanced data: 7 innovative techniques for successful analysis

Data Science Dojo

Imbalanced data is a common problem in machine learning, where one class has a significantly higher number of observations than the other. This can lead to biased models and poor performance on the minority class. In this blog, we will discuss techniques for handling imbalanced data and improving model performance. Understanding imbalanced data Imbalanced data refers to datasets where the distribution of class labels is not equal, with one class having a significantly higher number of ob

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Article: A Simple Framework for Architectural Decisions

Hacker News

This article describes a framework for making architectural decisions using three building blocks: The company's own Technology Radar; Technology Standards; and Architecture Decision Records (ADRs). The framework clarifies decision-making, team involvement, and information on already made decisions and aligns with the company's needs and culture.

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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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Maximizing the benefits of CaaS for your data science projects

Dataconomy

In the world of modern computing, containers as a service (CaaS) has emerged as a powerful and innovative approach to application deployment and management.

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Mathematicians discover shape that can tile a wall and never repeat

Hacker News

Aperiodic tiling, in which shapes can fit together to create infinite patterns that never repeat, has fascinated mathematicians for decades, but until now no one knew if it could be done with just one shape

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New Book: Gentle Introduction to Chaotic Dynamical Systems - DataScienceCentral.com

Flipboard

In less than 100 pages, the book covers all important topics about discrete chaotic dynamical systems.

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GOOD Meat gets green light from FDA for cultivated meat

Hacker News

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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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NVIDIA Hopper GPUs Expand Reach as Demand for AI Grows

insideBIGDATA

NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU — the powerful GPU for AI — to address rapidly growing demand for generative AI training and inference.

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ChatGPT temporarily shut down after bug exposed users' chat histories

Flipboard

An OpenAI spokesperson confirmed to Bloomberg that the titles of other users' conversations were visible in the user-history sidebar that's found on the left side of the ChatGPT webpage. They emphasized that only these short descriptions could be seen, not the contents of the conversations.

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Milvus 2.3 Massively Accelerates AI-Powered Applications With NVIDIA GPU Support 

insideBIGDATA

Zilliz, the inventor of the open-source vector database Milvus, announced the launch of Milvus 2.3, featuring NVIDIA GPU support for greater flexibility and dramatic improvements in real-time workload performance.

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Adobe launches generative AI tools aimed at marketers

Flipboard

Coinciding with the launch of its Firefly family of generative AI models, Adobe today unveiled Adobe Sensei Generative AI Services, a set of enterprise-focused, AI-powered services across its suite of productivity apps.

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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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Deploying and Monitoring Deep Learning Models on Cloud Pak for Data

IBM Data Science in Practice

By Courtney Branson and Carolyn Saplicki Today, many businesses create AI models to aid in prediction. However, not all businesses have the tools or understanding of Machine Learning Operations (MLOps) to productionize an AI model. In fact, VentureBeat found that 87% of data science projects never make it in production. Often, research teams do not generally consider the operationalization of models during creation.

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Nvidia launches new cloud services and partnerships to train generative AI

Flipboard

At its annual GPU Technology Conference, Nvidia announced a set of cloud services designed to help businesses build and run generative AI models trained on custom data and created for “domain-specific tasks,” like writing ad copy. Under the brand Nvidia AI Foundations, each individual cloud service — Nvidia NeMo for language models and Nvidia Picasso for image, video and 3D content generation — includes pretrained models, frameworks for data processing, APIs and support f

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Build and deploy ML models using Maximo Visual Inspection

IBM Data Science in Practice

Deep learning models built using Maximo Visual Inspection (MVI) are used for a wide range of applications, including image classification and object detection. These models train on large datasets and learn complex patterns that are difficult for humans to recognize. This may be a daunting task for a non-data scientist or a data scientist with little to no experience.

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A roadmap to zero-trust maturity: 6 key insights from Forrester

Flipboard

Once an enterprise decides to go all-in on zero trust, it usually starts strong, only to hit barriers no one saw coming. This makes a roadmap essential.

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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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AI trends in 2023: Graph Neural Networks

AssemblyAI

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. In the last couple of years Graph Neural Networks have quietly become the dark horse behind a wealth of exciting new achievements that have made it all the way from purely academic research breakthroughs to actual solutions actively deployed at large-scale.

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Past and present California drought severity

FlowingData

It’s been raining a lot here in California, which is helpful, because most of the state has been in severe drought for the past few years. However, the current aging systems can only capture so much of the rainwater, which means we’re still in a drought. For Reuters, Clare Trainor and Minami Funakoshi use a combo heatmap and area plot to show drought severity over the years.

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Ethical AI art generation? Adobe Firefly may be the answer

Flipboard

Adobe trained new AI generator on Adobe Stock, licensed content, public domain.

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Thomas Midgley Jr. invented leaded gasoline and chlorofluorocarbons

Hacker News

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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Bill Gates says OpenAI's GPT is the most important advance in technology since 1980

Flipboard

Microsoft founder Bill Gates says that OpenAI's GPT AI model is the most revolutionary advance in technology since he first saw a modern graphical …

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Intel graphics chief Raja Koduri leaves after five years battling Nvidia and AMD

Hacker News

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Bard Vs. ChatGPT Vs. Bing: The Battle Of The AI Chatbots Heats Up

Flipboard

Alphabet Inc’s (NASDAQ: GOOG) (NASDAQ: GOOGL) Google on Tuesday announced open access to “Bard,” its latest attempt to compete with OpenAI's popular …

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PeerTube 5.1

Hacker News

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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?