Sat.Feb 18, 2023 - Fri.Feb 24, 2023

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Google Cloud Unveils Its 2023 Data and AI Trends Report

insideBIGDATA

Google Cloud worked with IDC on multiple studies involving global organizations across industries in order to explore how data leaders are successfully addressing key data and AI challenges. The company compiled the results in its 2023 Data and AI Trends report. In it, you'll find the metrics-rich research behind the top five data and AI trends, along with tips and customer examples for incorporating them into your plans.

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Training a PyTorch Model with DataLoader and Dataset

Machine Learning Mastery

When you build and train a PyTorch deep learning model, you can provide the training data in several different ways. Ultimately, a PyTorch model works like a function that takes a PyTorch tensor and returns you another tensor. You have a lot of freedom in how to get the input tensors. Probably the easiest is […] The post Training a PyTorch Model with DataLoader and Dataset appeared first on MachineLearningMastery.com.

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5 Statistical Paradoxes Data Scientists Should Know

KDnuggets

Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.

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A Deep Dive into Data Replication: Most Effective Way to Protect Your Data 

Analytics Vidhya

Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks. In most cases, data alters. It is constantly changing.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Book Review: Tree-based Methods for Statistical Learning in R

insideBIGDATA

Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work.

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Using Learning Rate Schedule in PyTorch Training

Machine Learning Mastery

Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. It has been well established that you can achieve increased performance and faster training on some problems by using a learning rate that changes during training. In this post, […] The post Using Learning Rate Schedule in PyTorch Training appeared first on MachineLearningMastery.com.

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Deep Learning in Banking: Colombian Peso Banknote Detection

Analytics Vidhya

Introduction Fake banknotes can easily become a problem for both small and large business enterprises. Being able to identify these banknotes when they are not genuine is very vital. This process could be time-consuming for everyday business professionals and individuals dealing with cash. This calls for a need to achieve this goal via automation. Thanks […] The post Deep Learning in Banking: Colombian Peso Banknote Detection appeared first on Analytics Vidhya.

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Heard on the Street – 2/21/2023

insideBIGDATA

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.

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Using Dropout Regularization in PyTorch Models

Machine Learning Mastery

Dropout is a simple and powerful regularization technique for neural networks and deep learning models. In this post, you will discover the Dropout regularization technique and how to apply it to your models in PyTorch models. After reading this post, you will know: How the Dropout regularization technique works How to use Dropout on your […] The post Using Dropout Regularization in PyTorch Models appeared first on MachineLearningMastery.com.

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How to tackle lack of data: an overview on transfer learning

Data Science Blog

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. The increasing number of papers on deep learning demonstrate that researches on AI have developed rapidly recently.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Step-by-step Guide to Become a Data Scientist in Retail Industry

Analytics Vidhya

Introduction Data analysts with the technological know-how to tackle challenging problems are data scientists. They collect, analyze, interpret data, and handle statistics, mathematics, and computer science. They are accountable for providing insights that go beyond statistical analyses. A data scientist’s function is highly transferable, and data scientist employment is available in private and public sectors, […] The post Step-by-step Guide to Become a Data Scientist in Retail Indu

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Research Highlights: A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

insideBIGDATA

The Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks with different data modalities. A pretrained foundation model, such as BERT, GPT-3, MAE, DALLE-E, and ChatGPT, is trained on large-scale data which provides a reasonable parameter initialization for a wide range of downstream applications.

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RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

ML @ CMU

Figure 1 : Overview of RL Prompt for discrete prompt optimization. All language models (LMs) are frozen. We build our policy network by training a task-specific multi-layer perceptron (MLP) network inserted into a frozen pre-trained LM. The figure above illustrates 1) generation of a prompt ( left ), 2) example usages in a masked LM for classification ( top right ) and a left-to-right LM for generation ( bottom right ), and 3) update of the MLP using RL reward signals ( red arrows ).

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Data Vault Best practice & Implementation on the Lakehouse

databricks

In the previous article Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform, we explained core concepts of data.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Mask R-CNN for Instance Segmentation Using Pytorch

Analytics Vidhya

Introduction From the 2000s onward, Many convolutional neural networks have been emerging, trying to push the limits of their antecedents by applying state-of-the-art techniques. The ultimate goal of these deep learning algorithms is to mimic the human eye’s capacity to perceive the surrounding environment. Image classification, object detection, optical character recognition, and image segmentation tasks […] The post Mask R-CNN for Instance Segmentation Using Pytorch appeared first

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ChatGPT, GPT-4, and More Generative AI News

KDnuggets

A short review of developments in the AI world.

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Decisions made better: Comparing the role of AI and AU

Dataconomy

As the world becomes increasingly digital, businesses are turning to technology to stay ahead of the competition. Data-driven decision making is becoming more critical than ever before, and two technologies that have captured the imagination of businesses worldwide are artificial intelligence (AI) and augmented intelligence (AU).

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Who’s Behind the Botnet-Based Service BHProxies?

Hacker News

A security firm has discovered that a six-year-old crafty botnet known as Mylobot appears to be powering a residential proxy service called BHProxies , which offers paying customers the ability to route their web traffic anonymously through compromised computers. Here’s a closer look at Mylobot, and a deep dive into who may be responsible for operating the BHProxies service.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Top 20 Big Data Tools Used By Professionals in 2023

Analytics Vidhya

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze. Still, it provides valuable insights and information that can […] The post Top 20 Big Data Tools Used By Professionals in 2023 appeared first on Analytics Vidhya.

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Importance of Pre-Processing in Machine Learning

KDnuggets

Learn how pre-processing improves the performance of machine learning models.

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You.com’s AI-powered features are already in use, unlike Bing and Google

Dataconomy

You.com’s AI-powered features have started to attract attention. You.com is a search engine driven by artificial intelligence that offers a chatbot, an image generator, and more. Have you had enough of the Bing AI waitlist, the ChatGPT issues, the instabilities of Google’s Bard AI, and the fact that any AI tool you enjoy costs money?

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AI-Created Images Aren’t Protected By Copyright Law According To U.S. Copyright Office

Flipboard

The U.S. Copyright Office has ruled that illustrations in a new comic book that were created with the AI program Midjourney are not protected by copyright law, according to a letter issued by the Copyright Office.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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10 Interview Questions on GCP for the Senior/Manager Role

Analytics Vidhya

Introduction Suppose you are appearing in an interview for the manager or senior role. In that case, it’s important to have a deep understanding of the Google Cloud Platform and also must have the quality to lead the team in deployment and have the quality for cost optimization and security, and be able to communicate […] The post 10 Interview Questions on GCP for the Senior/Manager Role appeared first on Analytics Vidhya.

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The Ultimate Guide to Java Virtual Threads

Hacker News

Another tour de force by Riccardo Cardin. Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Java, Scala and Kotlin. Version 19 of Java came at the end of 2022, bringing us a lot of exciting stuff. One of the coolest is the preview of some hot topics concerning Project Loom: virtual threads ( JEP 425 ) and structured concurrency ( JEP 428 ).

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Countries with the longest healthy retirements

FlowingData

Bloomberg compared retirement years in the context of life expectancy and healthy life expectancy. The latter represents how long the average person stays healthy, which is shorter than the former. The data are clear on one thing though: it’s pensioners in Western Europe who enjoy the longest, healthy retirement periods. The Americas, by contrast, have some of the shortest.

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ChatGPT, Bing Chat and the AI ghost in the machine

Flipboard

New York Times reporter Kevin Roose recently had a close encounter of the robotic kind with a shadow-self that seemingly emerged from Bing’s new chatbot — Bing Chat — also known as “Sydney.” News of this interaction quickly went viral and now serves as a cautionary tale about AI.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Model Behind Google Translate: Seq2Seq in Machine Learning

Analytics Vidhya

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. This has helped chatbots grow significantly. More and more, chat robots are being employed in domains like education, e-commerce customer support, public place service, intelligent equipment, etc., rather than only […] The post Model Behind Google Translate: Seq2Seq in Machine Learning ap

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Down the Cloudflare / Stripe / OWASP Rabbit Hole: A Tale of 6 Rabbits Deep ? ? ? ? ? ?

Hacker News

I found myself going down a previously unexplored rabbit hole recently, or more specifically, what I thought was "a" rabbit hole but in actual fact was an ever-expanding series of them that led me to what I refer to in the title of this post as "6 rabbits deep" It's a tale of firewalls, APIs and sifting through layers and layers of different services to sniff out the root cause of something that seemed very benign, but actually turned out to be highly impactful.

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Wealthy Percentiles Rising

FlowingData

The rich continue to get richer, and everyone else either only kind of earns more or stays where they’re at. This chart shows how Americans in the 99th percentile, or the top 1%, separated from the bottom more over the years.

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2023 data, ML and AI landscape: ChatGPT, generative AI and more

Flipboard

It’s been less than 18 months since we published our last MAD (Machine Learning, Artificial Intelligence and Data) landscape, and there have been dramatic developments in that time.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.