Sat.May 07, 2022 - Fri.May 13, 2022

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Centroid Initialization Methods for k-means Clustering

KDnuggets

This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.

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Reversing the Video Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system. In this application, we will also have […]. The post Reversing the Video Using Computer Vision appeared first on Analytics Vidhya.

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The EU AI Act: Regulating the future of artificial intelligence

Dataconomy

The European Union is disturbed by the lack of comprehensive regulation of artificial intelligence. The EU AI Act is an important step that will determine the future of artificial intelligence in the context of personal data protection. It’s a lawless world for artificial intelligence in today’s society. The European Union.

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The legacy of Liverpool’s forgotten synchrocyclotron

Hacker News

The Metropolitan Catholic Cathedral at the peak of Mount Pleasant in Liverpool, UK, represents a unique and unmistakable landmark in the city’s skyline. But unbeknown to many passing or visiting the wigwam-shaped building, beneath the steps and next to the crypt there was once a particle accelerator that played an important role in the evolution of experimental physics.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Free University Data Science Resources

KDnuggets

This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

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IPL Team Win Prediction Project Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].

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How Much Time We Spend Alone and With Others

FlowingData

Oftentimes what we’re doing isn’t so important as who we’re spending our time with. Based on data from the American Time Use Survey, this is a simulated day for 100 people. Read More.

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Deep Learning For Compliance Checks: What’s New?

KDnuggets

By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

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Get to Know Apache Flume from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The Apache Flume tool is designed mainly for ingesting a high volume […]. The post Get to Know Apache Flume from Scratch!

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Interpolation vs extrapolation: How to forecast the future?

Dataconomy

In a detailed comparison, we’ll look at the similarities and differences between interpolation vs extrapolation. The words “interpolation” and “extrapolation” may seem extremely technical, but they’re not that complex. Each term is employed somewhat differently, whether they’re being used generally or about math and data science.

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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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Impressive Ways that AI Improves Business Analytics Insights

Smart Data Collective

Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.

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Machine Learning Key Terms, Explained

KDnuggets

Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.

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Classification and Regression using AutoKeras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task. The AutoML model aims to automate all actions which require more time, such as algorithm selection, […].

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Nanomagnets will pave the way for low-energy AI

Dataconomy

Today’s artificial intelligence technologies use quite a lot of energy. For this reason, the production of low-energy AI systems is very important for a sustainable world. Artificial intelligence may be performed using tiny nanomagnets that communicate similarly to neurons in the brain, according to researchers. The Imperial College London researchers.

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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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The 4 Major Applications of Blockchain Technology

Smart Data Collective

The word ‘blockchain’ is more and more in use today, especially when it comes to cryptocurrencies. However, the applications of blockchain go beyond cryptocurrency networks. Applications of blockchain technology today aren’t restricted to the financial industry either. This is as the distributed ledgers found in blockchain technology can be used across industries.

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Machine Learning’s Sweet Spot: Pure Approaches in NLP and Document Analysis

KDnuggets

While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

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Configure Jupyter Notebook On AWS In 2-Steps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Configuration Let’s You have a job crunching trillions of image data points to extract insights, and you don’t have sufficient storage or processing power to do it, so what will you do – Stop in the Middle or Get […]. The post Configure Jupyter Notebook On AWS In 2-Steps appeared first on Analytics Vidhya.

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How businesses could utilize AI in security systems?

Dataconomy

In the era of digital workplace, enterprises are utilizing cutting-edge technologies and today we are going to discuss how AI in security systems could help businesses increase their cybersecurity. Artificial intelligence (AI) is becoming more prevalent than you may realize.

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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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Data Analytics is Very Valuable for Companies Improving their Cultures

Smart Data Collective

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Although they are still the minority, this figure has risen from almost nothing under a decade ago. Data analytics serves many different purposes. We have talked at length about the benefits of using big data to improve financial management and implement more effective marketing strategies.

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Data Mesh Architecture: Reimagining Data Management

KDnuggets

The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

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Apache Flume: Data Collection, Aggregation & Transporting Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust. Its design is simple, based on streaming data flows, and written in the Java programming […].

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Work smarter, not harder: Use BI tools to go higher

Dataconomy

What are the most significant business intelligence benefits and the technologies used to exploit them? You’ve undoubtedly heard the adage “work smarter, not harder.” That phrase might as well have been coined for business intelligence software (BI). Business intelligence software (BI) is made up of various data analytics tools used.

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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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Bandits for Recommender Systems

Eugene Yan

Industry examples, exploration strategies, warm-starting, off-policy evaluation, and more.

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5 Free Hosting Platform For Machine Learning Applications

KDnuggets

Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

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An Introduction to Long Short-Term Memory (LSTMs)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dealing with sequential data is considered one of the hardest problems to solve in the Data science industry. Standard neural networks have paved a new path in the rising AI industry. It worked very well with tabular data but every new invention in […]. The post An Introduction to Long Short-Term Memory (LSTMs) appeared first on Analytics Vidhya.

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What makes a computer “super”?

Dataconomy

When one talks about immense computing powers, the question ‘what is a supercomputer’ pops up in some people’s heads. So let’s explain: A supercomputer is a computer with a high level of performance compared to a general-purpose computer. Floating-point operations per second (FLOPS) are used to measure the performance of.

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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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Promising Benefits of AI in the Financial Technology Market

Smart Data Collective

Artificial intelligence (AI) is all the rage now. It’s impacting numerous industries globally and changing the way we do things. One of the critical industries AI is making strides in is the financial technology “fintech” industry. AI now plays a significant role in facilitating financial services, replacing what required manual work a few years ago.

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KDnuggets News, May 11: SQL Notes for Professionals; How To Structure a Data Science Project

KDnuggets

SQL Notes for Professionals: The Free eBook Review; How To Structure a Data Science Project: A Step-by-Step Guide; Everything You Need to Know About Tensors; Free University Data Science Resources; Image Classification with Convolutional Neural Networks (CNNs).

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A Comprehensive Guide to Time Series Analysis and Forecasting

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – bounteous.com Introduction Time Series Analysis and Forecasting is a very pronounced and powerful study in data science, data analytics and Artificial Intelligence. It helps us to analyse and forecast or compute the probability of an incident, based on data stored with respect to […].

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Chemists developed a new ML framework to improve catalysts

Dataconomy

A new machine learning framework developed at the U.S. Department of Energy’s Brookhaven National Laboratory can hone in on which parts of a multistep chemical conversion should be altered to increase productivity. The technique may assist researchers in determining the shape of catalysts, also known as chemical dealmakers that speed.

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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.