Sat.Aug 20, 2022 - Fri.Aug 26, 2022

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7 Techniques to Handle Imbalanced Data

KDnuggets

This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced.

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A primer on AWS Lambda Function

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction While deploying an application, developers often face challenges concerning purchasing, provisioning, and managing backend servers. AWS Lambda is a service that allows developers to run code without having to set up and manage such servers and hence is often classified under the […].

AWS 375
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AI in the manufacturing market will rise by 14 billion dollars in 5 years (Learn why)

Dataconomy

What is the role of artificial intelligence in manufacturing? Well, there are a lot of use cases for artificial intelligence in everyday life, but what about AI in manufacturing? The effects of artificial intelligence in business heavily include manufacturing. Are you scared of AI jargon? We have already created a detailed AI glossary for the.

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$60/MWh for advanced nuclear electricity is achievable, says GE Hitachi executive

Hacker News

At that price, there would be demand for about 90 GW of emerging small reactors in the U.S. by 2050, according to a recent Nuclear Energy Institute survey.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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How to Package and Distribute Machine Learning Models with MLFlow

KDnuggets

MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow in Layer.

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Using AWS Athena and QuickSight for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Ever wondered how to query and analyze raw data? Also, have you ever tried doing this with Athena and QuickSight? This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. Amazon’s perfect combination of […]. The post Using AWS Athena and QuickSight for Data Analysis appeared first on Analytics Vidhya.

More Trending

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Where restaurant chains dominate

FlowingData

Researchers Xiaofan Liang and Clio Andris estimated the percentage of restaurants that are chains and independent to identify “McCities” : These high chainness McCities are prevalent in the Midwestern and the Southeastern United States. Independent restaurants were associated with dense pedestrian-friendly environments, highly educated populations, wealthy populations, racially diverse neighborhoods, and tourist areas.

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Tuning Random Forest Hyperparameters

KDnuggets

Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model.

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How is Web3.0 Related to the Metaverse?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Decentralized protocols, such as blockchain, the technology behind bitcoin transactions, will be employed in the web 3.0 revolution. It aims to overcome some of the primary drawbacks and flaws of the present internet era by tackling the crucial concerns of data ownership […].

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Why we need AI to power the green energy transition

Dataconomy

Today we see clear movement and momentum to decarbonization and the green energy transition. In parallel, the rise in digital technology and advanced analytics provide unique opportunities to not only migrate to new energy technologies, but to monitor progress, predict performance, integrate systems, ensure reliability and resiliency – and improve.

Analytics 172
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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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Introduction to Probability for Data Science, a free book

FlowingData

Introduction to Probability for Data Science is a free-to-download book by Purdue statistics professor Stanley H. Chan: We need a book that balances the theory and practice. We need a book that provides insights and not just theorems and proofs. We need a book that motivates the students, telling them why probability is so essential to their work. We need a book that highlights the impacts of the subject.

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Top Posts August 15-21: How to Perform Motion Detection Using Python

KDnuggets

How to Perform Motion Detection Using Python • The Complete Collection of Data Science Projects – Part 2 • Free AI for Beginners Course • Decision Tree Algorithm, Explained • What Does ETL Have to Do with Machine Learning?

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Deep Learning Vision: Digitizing the World

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The body of knowledge and practice known as Deep Learning gives us a way to understand patterns, quantify relationships, and predict the future. Deep Learning helps us understand the world. The world is interconnected. Deep learning can show these connections and possibilities. […].

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Ray 2.0: The open-source ML project is live with its second version

Dataconomy

Over the past two years, the open-source Ray framework, which is used by companies like OpenAI, Shopify, and Instacart, has emerged as one of the most widely used methods for enterprises to scale and manage huge and intricate artificial intelligence (AI) workloads. After going through multiple iterations over the preceding.

ML 155
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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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What is the IoT and How is it Changing the World?

Smart Data Collective

The Internet of Things (IoT) has been on the rise in recent years, and it’s becoming more and more common among consumers, businesses, and governments alike. IoT refers to any connected physical device that can send or receive data over the internet, including smartphones, computers, speakers, security cameras, thermostats, door locks, vehicles—the list goes on and on.

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Machine Learning is Not Like Your Brain Part Seven: What Neurons are Good At

KDnuggets

Thus far, this series has focused on things that Machine Learning does or needs which biological neurons simply can’t do. This article turns the tables and discusses a few things that neurons are particularly good at.

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Working with Images and Videos using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As we all know, Computer Vision has gained huge popularity in Machine Learning and Artificial Intelligence. The image recognition skill allows computers to process more information than the human eye, often faster and more accurately, or simply when people are not involved in […].

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PlanetScale introduces serverless driver for JavaScript: Databases are moving to the edge

Dataconomy

PlanetScale just released serverless driver for JavaScript to enhance database accessibility from serverless edge deployments. It was created with the intention of creating a universally functional, simple-to-configure mechanism for edge services. The actual driver for the new PlanetScale service makes advantage of the JavaScript Fetch API standard to support HTTP connections.

Database 152
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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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Why Is the World Adapting to Blockchain Technology?

Smart Data Collective

The blockchain network has affected more than just bitcoin. Countless industries around the world are investing in it, so the market size for blockchain is projected to be worth $163 billion by 2029. Nowadays, almost all people have access to cell phones, laptops, and the internet. The way we live and work has been radically altered by this. We have witnessed a change in several industries as a result of the growth of digitization.

Big Data 125
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Customize Your Data Frame Column Names in Python

KDnuggets

This tutorial will explore four scenarios in which you can apply different transformations to all DataFrame columns.

Python 360
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ETL and Workflow Orchestration Tools

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we attempt to capture the complexity of ETL and workflow orchestration tools, which aid in better data management and control by providing multiple alternatives for performing various operations in discrete blocks while maintaining visibility and clear goals for each action.

ETL 319
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Enhance your digital experience by learning the differences between 4G and LTE

Dataconomy

In the 4G vs LTE comparison, we will talk about mobile networks, and although they have been in our lives for a while, their differences are still a matter of debate, and many people think they are the same thing. The confusion has many reasons behind it, but many people.

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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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Albanian Bitcoin Investors Tap the Power of Predictive Analytics

Smart Data Collective

Business Partner Magazine recently published an article on the growing popularity of bitcoin trading in Albania. Many investors have started trading bitcoins and other cryptocurrencies in recent years. Although bitcoin trading is still fairly new to the South European country, these traders have to compete against more experienced investors abroad. Fortunately, there are a number of ways that they can do so.

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Support Vector Machines: An Intuitive Approach

KDnuggets

This post focuses on building an intuition of the Support Vector Machine algorithm in a classification context and an in-depth understanding of how that graphical intuition can be mathematically represented in the form of a loss function. We will also discuss kernel tricks and a more useful variant of SVM with a soft margin.

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Evolution of TPUs and GPUs in Deep Learning Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will briefly discuss some research papers using Graphic Processing Units and Tensor Processing Units in Deep Learning applications. What are GPUs? It stands for Graphic Processing Unit, specialized hardware that accelerates graphic rendering in various computer applications.

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IT leaders will boost their cloud adoption strategies over the next 2 years

Dataconomy

Colt, a provider of network connectivity for data centers, has performed research that suggests that over the next two years, the rate at which organizations adopt the cloud may quickly increase. In the third annual Cloud adoption study conducted by the company, 500 senior IT and C-suite decision-makers from Europe.

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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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AI Helps Automate Tax Compliance Procedures

Smart Data Collective

AI technology has helped companies boost profitability and increase efficiency in many ways. According to most surveys, 90% of the most successful companies use AI to some degree. One of the most beneficial applications of AI is in the realm of tax compliance. You can automate your tax compliance process by using sophisticated AI-driven software. AI is Becoming Essential for Promoting Tax Compliance.

AI 113
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Free Python Project Coding Course

KDnuggets

Learn Python by doing Python. Check out this free project-based course to quickly learn how to program in the high-demand language.

Python 344
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Simplifying AI Models with the PEAS Representation System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The capability of an artificial machine to think and act rationally or like a human can be called Artificial Intelligence. Artificial intelligence is a subset of data science that gives life to a machine. Data scientists perform predictive data analysis based on […].

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Thank Ubiquitous Computing for making your life “smart”

Dataconomy

Every object and gadget in the world is linked to the internet and one another through ubiquitous computing, also known as pervasive computing. Ubiquitous computing is heavily linked with the Internet of Things (IoT). Probably while reading about cloud computing basics, you came across this term and were curious about.

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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.