Sat.May 21, 2022 - Fri.May 27, 2022

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The Definitive Guide To Switching Your Career Into Data Science

KDnuggets

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

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Loan Prediction Problem From Scratch to End

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Loan Prediction Problem Welcome to this article on Loan Prediction Problem. Below is a brief introduction to this topic to get you acquainted with what you will be learning. The Objective of the Article This article is designed for people who […]. The post Loan Prediction Problem From Scratch to End appeared first on Analytics Vidhya.

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Detecting deepfakes: A new method using self-blended images is developed

Dataconomy

Deepfakes are mixtures of real and fraudulent material forged to appear genuine. When used by malicious people, their effects can be harmful. Thus, detecting deepfakes is crucial, and researchers continuously look for new methods. The most recent techniques are frequently based on networks established using pairs of original and synthetic.

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How AI Can Supercharge Your Ransomware Defense In 2022?

Smart Data Collective

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.

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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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The Complete Collection of Data Science Books – Part 2

KDnuggets

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

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The Tale of Kubernetes!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction Kubernetes popularly known as (K8s) is a system for automating deployment, scaling, and managing containerized applications. An application’s containers are grouped into logical units, which can be easily managed and discovered. A key element of Kubernetes is 15 years’ experience running production […].

More Trending

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How Smart Cities Can Leverage Data Technology to Improve Air Quality

Smart Data Collective

Big data has led to some very important changes in our lives. However, few people realize that data technology is helping solve environmental issues. One of the most stunning facts revealed by the new coronavirus pandemic (COVID-19) has been our acceptance of polluted air. Skies in the world’s largest cities turned a color that astonished many residents when personal vehicle miles plummeted dramatically.

Big Data 142
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Machine Learning Is Not Like Your Brain Part Two: Perceptrons vs Neurons

KDnuggets

An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.

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Building a 3D-CNN in TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on 3D-CNN The MNIST dataset classification is considered the hello world program in the domain of computer vision. The MNIST dataset helps beginners to understand the concept and the implementation of Convolutional Neural Networks. Many think of images as just a normal […].

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How to choose a cyber security monitoring tool in 2022?

Dataconomy

Today we explore the best cyber security monitoring tools in 2022 and why they are important. Finding good cyber security software for business sometimes can be tricky. The term “cyber security threat monitoring” refers to the process of detecting cyber threats and data breaches. IT infrastructure monitoring is an important.

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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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The Importance of Implementing a Sensible Data Collection Strategy

Smart Data Collective

Data has become one of the most valuable assets to modern organizations. Some companies are still in denial of its importance, but their hesitance to embrace it is subsiding. One poll found that 36% of companies rate big data as “crucial” to their success. However, many companies still struggle to formulate lasting data strategies. One of the biggest problems is that they don’t have reliable data collection approaches.

Big Data 142
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Predicting Cryptocurrency Prices Using Regression Models

KDnuggets

In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

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Organised Preprocessing for Pandas Dataframe

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Preprocessing Preprocessing is an essential step in machine learning. We underestimate preprocessing but in reality, choosing the right preprocessing for our data is equally important as choosing the right model, if not more. Most of the time we go with some […].

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13 marketing automation tools that can help you boost your sales

Dataconomy

The way we live our lives has an impact on our work. Long lists of typical chores may turn your staff into marketing automatons, reducing their creativity and performance. Fortunately, there are some tools to help. Digital marketing’s first step is to automate and personalize your communications. Multi-channel marketing is.

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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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U.S. still the outlier for gun homicide rate

FlowingData

This chart from The New York Times , based on estimates from Our World In Data and World Bank, shows GDP per capita against gun homicide rates. The United States stands alone. Why. Tags: guns , homicide.

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3 Reasons Why Teamwork is an Essential Skill in Data Science

KDnuggets

This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.

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15 Most Common Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – pinterest.com Introduction Job interviews are…well, hard! Some interviewers ask hard questions while others ask relatively easy questions. As an interviewee, it is your choice to go prepared. And when it comes to a domain like Machine Learning, preparations might fall short. […].

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A new era of gaming is upon us: Blockchain games

Dataconomy

According to the experts, blockchain gaming will be the first genuine use case for blockchain, revolutionizing the sector and making games more immersive. Game platforms have integrated blockchain technology, allowing gamers to collect and trade digital assets that generate a reliable income for game developers while also offering value to.

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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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Charting software that pre-dating Excel

FlowingData

RJ Andrews digs up the PC archives of charting software. Scrolling through the thread, you can see the roots of Excel in the software that pre-dates the 1987 Windows release, along with what was considered nice back in the day. In many ways, such as in the interface, features, and chart types, things haven’t changed that much over the past few decades.

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Data Science Projects That Will Land You The Job in 2022

KDnuggets

Project ideas and portfolio tips from a self-taught data scientist.

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Adding Explainability to Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. While there are a lot of techniques that have been developed for supervised algorithms, […].

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Preventing cloud data warehouse failure through proper integration

Dataconomy

Preventing cloud data warehouse failure is possible through proper integration. Utilizing your data is key to success. That message is echoed by every business and technology pundit working today, every C-level executive, every Board member – and even every article like this one. The importance of using data to make.

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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?

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Children exposed to school shootings

FlowingData

The Washington Post maintains a database of school shootings (which is sad in itself that such a thing has to exist) to keep record of tragedy that the U.S. government does not track. They calculated the number of kids since Columbine who were exposed to such terrible events : The Washington Post spent a year determining how many children have been affected by school shootings, beyond just those killed or injured.

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Weak Supervision Modeling, Explained

KDnuggets

This article dives into weak supervision modeling and truly understanding the label model.

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Comparison of the RMS Energy and the Amplitude Envelope

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered what an audio’s Amplitude Envelope and RMS energy are? And, if you had to choose, which of these do you believe would be most resilient to outliers? If these questions pique your interest, then this article is for […]. The post Comparison of the RMS Energy and the Amplitude Envelope appeared first on Analytics Vidhya.

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More than games and movies: Cyberpunk movement

Dataconomy

The term cyberpunk may be confusing for those unfamiliar with sci-fi, so we will explain cyberpunk definition and what this cultural phenomenon consists of in our article. Blade Runner and Neuromancer represented a cinematic and literary confluence that generated the filmological and written birth of the movement. Visually, all cyberpunk.

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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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The Role of Blockchain When Buying Bitcoin in 2022

Smart Data Collective

Blockchain is one of the most disruptive technologies of the 21st Century. A growing number of industries are using blockchain to operate more efficiently or boost security. However, blockchain is still most important in the realm of cryptocurrencies. Bitcoin has become very popular since its inception in 2008 and that is largely due to the power of blockchain.

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Data Science, Statistics and Machine Learning Dictionary

KDnuggets

Check out this curated list of the most used data science terminology and get a leg up on your learning.

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Amazon Price Tracking System Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Link Introduction In this article, we will be learning how we can use Python to keep track of our “wanna-buy” items on Amazon. We tend to buy the product only if it goes below a specific threshold price, to keep it […]. The post Amazon Price Tracking System Using Python appeared first on Analytics Vidhya.

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Researchers found a new ML method capable of counting cells for disease diagnosis

Dataconomy

Although machine learning (ML) has helped make blood cell counts more accurate and less costly, it has nevertheless been time-consuming because of the need for a lot of manual annotation by humans to train the model. Researchers at Benihang University, on the other hand, have developed a new training method.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!