Sat.Nov 05, 2022 - Fri.Nov 11, 2022

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3 Useful Python Automation Scripts

KDnuggets

The post highlights three useful applications of using python to automate simple desktop tasks. Stay tuned till the end of the post to find the reference for a bonus resource.

Python 391
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How does User Authentication work with FACEIO?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction FaceIO is a cross-browser framework for user facial recognition authentication. Any website can use a JavaScript snippet to implement it. As more and more daily tasks are managed electronically rather than with pen and paper or face-to-face, the demand for quick and […].

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Stable Diffusion with Core ML on Apple Silicon

Machine Learning Research at Apple

Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13.1 and iOS 16.2, along with code to get started with deploying to Apple Silicon devices. Figure 1: Images generated with the prompts, "a high quality photo of an astronaut riding a (horse/dragon) in space" using Stable Diffusion and Core ML + diffusers running on-device on Apple Silicon.

ML 242
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AI and big data are the driving forces behind Industry 4.0

Dataconomy

It’s key to understanding the roles of big data and artificial intelligence in our data-driven world. Before anyone knew big data existed, it had already taken over the globe. Big data had amassed an enormous amount of stored information by the time the term was coined. If properly examined, it.

Big Data 254
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Approaches to Text Summarization: An Overview

KDnuggets

This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics.

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A Brief Guide to Emotion Cause Pair Extraction in NLP

Analytics Vidhya

Introduction With the rapid growth of social network platforms, more and more people tend to share their experiences and emotions online. So, the task of emotion analysis of online texts is crucial in Natural Language Processing. Sometimes, it is also important to know the cause of the observed emotion. You may be wondering why we […]. The post A Brief Guide to Emotion Cause Pair Extraction in NLP appeared first on Analytics Vidhya.

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AI is revolutionizing every field and science is no exception

Dataconomy

Today, AI is used in almost every industry, and tools provided by artificial intelligence in science are no exception. The amount of data generated by many of today’s physics and astronomy studies is so great that no human or group of humans could keep up. Some of them daily record.

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Understanding Bias-Variance Trade-Off in 3 Minutes

KDnuggets

This article is the write-up of a Machine Learning Lighting Talk, intuitively explaining an important data science concept in 3 minutes.

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Feature Selection 101: The Manual For Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the overwhelming hype of feature selection in machine learning and data science today, you might wonder why you should care about feature selection. The answer is that most machine-learning models require a large amount of training data. If you don’t have […].

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Software Is A Sandwich, What’s The Filling?

Adrian Bridgwater for Forbes

The notion of the Software Bill of Materials (SBOM) represents a manifest that identifies the components that make up a particular software app like a list of ingredients of a cake. Accordingly, for applications an SBOM is a list of all the ingredients or components that went into building the app.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Discover Pixelfed, an open-source and decentralized alternative to Instagram

Dataconomy

What is Pixelfed social media? The people that looking for an Instagram alternative ask this question frequently. It is a decentralized platform that runs on the ActivityPub protocol, a shared protocol that enables users to communicate with other users inside the protocol, like Mastodon social media, and does not store.

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Confusion Matrix, Precision, and Recall Explained

KDnuggets

Learn these key machine learning performance metrics to ace data science interviews.

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Advance Guide on Interview Questions of Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is a branch of machine learning inspired by the brain’s ability to learn. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions. Deep learning has revolutionized many areas of […].

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Google Cloud Run – Tutorial

Data Science Blog

Es gibt Gelegenheiten, da ist eine oder mehrere serverlose Funktionen nicht ausreichend, um einen Service darzustellen. Für diese Fälle gibt es auf der Google Cloud Plattform Google Cloud Run. Cloud Run bietet zwei Möglichkeiten Container auszuführen. Services und Jobs. In diesem Beispiel wird ein Google Cloud Run Service mittels Terraform definiert, welcher auf Basis eines Scheduler Jobs regelmäßig aufgerufen wird.

Python 130
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Understanding the significance of Data as a Service in a digital-first world

Dataconomy

A data management method called data as a service (DaaS) intends to use data as a corporate asset for increased business agility. It is a component of the “as a service” offers that had gained popularity since the internet’s growth in the 1990s when software as a service (SaaS) was.

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Map out your journey towards SAS Certification

KDnuggets

Nearly 50% of certification holders said it was easier to find new jobs, enter new career fields and land job interviews. Read on to learn about every resource you’ll need from start to finish to receive your SAS certification.

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Top 5 Interview Questions on Missing Value Imputation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Missing values are the type of data that contains NaN or no value for the particular record of the dataset. Handling missing values is one of the most important and tricky parts of data cleaning and preprocessing in machine learning. Most machine […]. The post Top 5 Interview Questions on Missing Value Imputation appeared first on Analytics Vidhya.

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Life Satisfaction and Age

FlowingData

People were asked to score their life satisfaction from 0 to 10, where 10 is the best possible life and 0 is the worst possible life. This is the average score by age. It might be time to rethink life. Read More.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Mastodon vs Twitter: Everything you need to know

Dataconomy

Long-waited Mastodon vs Twitter comparison is finally here! Why do Twitter refugees choose Mastodon? First of all, Elon Musk is not there! Many users began to look for new alternatives after Elon Musk takeover Twitter. Is it the only reason? Of course, not. Keep reading and find out every difference.

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Top Posts October 31 – November 6: How to Select Rows and Columns in Pandas

KDnuggets

How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 15 Free Machine Learning and Deep Learning Books • Decision Tree Algorithm, Explained • Should I Learn Julia? • 7 Techniques to Handle Imbalanced Data.

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Getting Started with Important Cloud Security Protocols

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Cloud security is the practice of protecting data and information that is stored on or accessed through a cloud computing service. It is a broad term that covers a range of security concerns, from the physical infrastructure of the cloud to the […]. The post Getting Started with Important Cloud Security Protocols appeared first on Analytics Vidhya.

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Amazon Web Services (AWS) Benefits of Cloud-Based Enterprises

Smart Data Collective

Cloud technology is transforming the future of business. A growing number of companies are finding new ways to leverage the cloud to improve their operations. Gartner conducted a survey of nearly 270 tech company leaders, which showed that cloud technology was the biggest investment for innovation in 2021. The number of companies migrating to the cloud will continue to grow.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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OpenAI Startup Fund led a $23.5 million investment round in Mem

Dataconomy

Why is OpenAI recognized for changing the industry? OpenAI is an AI research and deployment company, and the OpenAI startup funds are one of the drivers. Vicki Cheung, a computer scientist who founded OpenAI, set out to develop technology with a significant social benefit without considering how well it would.

AI 172
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Announcing a Blog Writing Contest, Winner Gets an NVIDIA GPU!

KDnuggets

KDnuggets and NVIDIA are announcing a blog-writing contest with a GPU focus, with the winner receiving an RTX 3080 Ti GPU!

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Data Science Blogathon 26th Edition

Analytics Vidhya

Hello, fellow data science enthusiasts, did you miss imparting your knowledge in the previous blogathon due to a time crunch? Well, it’s okay because we are back with another blogathon where you can share your wisdom on numerous data science topics and connect with the community of fellow enthusiasts. In November, Analytics Vidhya is back […].

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Companies Like iMind Use AI for Stellar Video Conferencing Services

Smart Data Collective

Big data and AI technology has led to some major breakthroughs in online video technology. Irwin Lazar, president and principle analyst at Metrigy Research, writes that AI has opened a ton of new doors for video streaming technology. AI technology can help improve the user experience and capture information during meetings more easily. “AI initiatives are coming from endpoint vendors, meeting software vendors and startups offering unique capabilities on their own or in partnership with mee

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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AI art spices up TikTok

Dataconomy

Reverse AI Art filter TikTok trend explained. An artificial intelligence art generator uses an algorithm to produce a work of art from the data you provide. This can include written descriptions and a wide range of visuals, including works of art created by humans. Since the 1960s, AI art has.

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Python Control Flow Cheatsheet

KDnuggets

The latest KDnuggets cheatsheet focuses on Python flow control, how we manage the execution order of statements in a program. Check it out for a quick start.

Python 276
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Top 6 Interview Questions on Transformer

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction Transformers are foundational models that brought a massive revolution in the AI domain. The sheer scale and purview of foundation models in recent years have outpaced our expectations for what is feasible. Given this, it is imperative to prepare this topic […].

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3 Ways AI Has Led to Horrifying Cybersecurity Threats

Smart Data Collective

AI technology is driving some tremendous changes in digital technology. Many of the developments brought on by AI have been beneficial. However, some of the changes created by AI have been harmful. One of the biggest examples of problems caused by AI is the growing threat of cybersecurity threats. A growing number of hackers are finding innovative ways to weaponize AI technology to commit cybercrime.

AI 103
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.