January, 2022

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Interactive Tweet Sentiment Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the advent of social media, a lot of data has been generated and is being generated. This data corresponds to either the opinion of people on political matters, on products they use, or on the services they use from companies. Mining this […]. The post Interactive Tweet Sentiment Visualization appeared first on Analytics Vidhya.

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The Best Python Courses: An Analysis Summary

KDnuggets

What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

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The next generation of energy and environment startups using data and AI to save the planet

Dataconomy

Energy and the environment were significant threads covered at Web Summit and garner additional importance when considering the travel and accommodation footprint created by almost 44,000 attendees. It calls for greater awareness of the CO2 produced by the event and its participants. While Web Summit took place on the same.

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Chicken egg color spectrum

FlowingData

Eggs aren’t always white, which is oddly calming in this photo. (I couldn’t figure out where this picture was originally from. Anyone?). Tags: color , egg , physical.

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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 Role and Importance of Data Collection in Healthcare

Smart Data Collective

Did you know that global businesses are expected to spend $274 billion on big data this year? That figure is projected to grow at a rapid pace for years to come. The healthcare sector, in particular, has discovered a number of benefits of leveraging data technology. There are a lot of reasons that big data can be useful for healthcare businesses of all sizes.

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DataRobot and Snowflake Healthcare Campaign

DataRobot

Shifting to Proactive Healthcare Delivery with AI. The Case for Change. The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. While ICSs have been operating in shadow-format for a number of years, this long-awaited shift determines that health and care delivery in England is regionally managed and focused around the needs of the local population.

More Trending

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How to Grow as a Data Scientist in an Ever-Changing World

KDnuggets

Just like tradespeople need to grow in their skill sets, data scientists must also grow in the ever-changing world we inhabit. With that said, let’s break down how you can evolve your data science skills while progressing your career.

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From Age-Gating to Chapter Indexing – How YouTube Uses AI

Dataconomy

YouTube is the second-largest social media network and search engine on the planet, with over 2.3 billion active users. Since its inception in 2005, YouTube has grown into a tech behemoth. It is now a hub for hobby content creators, professional influencers, and social media marketing specialists. Over 12 million.

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How Much Americans Make

FlowingData

In the United States, the median annual income among the employed was about $43,000 in 2020. However, by definition, this just tells you where the midpoint is in a distribution. As you probably know, maybe a little too well over the past few years, personal income spans a wide range. Here’s a more detailed view of how much Americans make per year.

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5 Ways to Use AI to Vet a Content Site Before Purchasing It

Smart Data Collective

Savvy business owners need to appreciate the benefits of using AI technology to make the most out of their business models. Entrepreneurs considering purchasing existing businesses have discovered that AI technology can be highly useful. You can use AI technology when you are considering purchasing a new website. You will be able to tell whether the site is likely to be profitable and provide enough of a sustainable revenue stream to make up for the investment.

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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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All in the Data: Ways to Improve Your Data

The Data Administration Newsletter

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality. By perfect I mean that the people in your organization have confidence in the data to use it for effective decision making and to focus on building efficiency and effectiveness through data into your […].

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NLP Tutorials Part -I from Basics to Advance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya.

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Top Programming Languages and Their Uses

KDnuggets

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

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Exploring the use of the Python programming language for data engineers

Dataconomy

Python is one of the most popular programming languages worldwide. It often ranks high in surveys: for instance, it claimed the first spot in the Popularity of Programming Language index and came second in the TIOBE index. The chief focus of Python was never web development. However, a few years ago, software engineers realized.

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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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A Quick and Easy Way to Make Spiral Charts in R

FlowingData

Many people were dismayed by a spiral chart that served as a header image for a New York Times Opinion piece. I thought it was fine. Others had other opinions. Disregarding whether or not it was the “best” way to visualize the data, clearly the more important question is how to make such a chart. Here’s how to make it in R. Read More.

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AI-Powered Cyberattacks: Hackers Are Weaponizing Artificial Intelligence

Smart Data Collective

There is no denying the fact that AI is transforming the cybersecurity industry. A double-edged sword, artificial intelligence can be employed both as a security solution and a weapon by hackers. As AI enters the mainstream, there is much misinformation and confusion regarding its capabilities and potential threats. Dystopian scenarios of all-knowing machines taking over the world and destroying humanity abound in popular culture.

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What is Privacy Engineering?

The Data Administration Newsletter

Introduction Privacy engineering, as a discrete discipline or field of inquiry and innovation, may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized, fair, and legitimate processing of personal information. One privacy leader defines it as the “inclusion and implementation of […].

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Roadmap to Master NLP in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […].

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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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3 Reasons Why Data Scientists Should Use LightGBM

KDnuggets

There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.

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The Evolution of Foot Traffic Data Collection Methods

Dataconomy

Foot traffic is one of the most helpful types of data for brick-and-mortar businesses to collect. Tracking how many people enter, where they go and when they leave helps understand customer behavior, assess performance, and optimize store layouts. Businesses today have a wide array of technologies to choose from to.

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What’s ahead for AI, VR, NFTs, and more?

O'Reilly Media

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

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3 Huge Ways Big Data Analytics Benefits Businesses

Smart Data Collective

Savvy business owners recognize the importance of investing in big data technology. Companies that utilize big data strategically end up having a strong advantage against their competitors. However, despite the benefits big data provides, companies that are using it are in the minority. Only 30% of companies have a well-defined data strategy. An even smaller number of companies have a data strategy that is supported by the company leadership.

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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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All-time temperature records broken in 2021

FlowingData

Using data from NOAA , Krishna Karra and Tim Wallace for The New York Times mapped all-time temperature records set in 2021. Red indicates an all-time high, and blue indicates an all-time low. Circle size represents the degree difference from the previous record. Tags: climate change , New York Times , temperature.

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Diabetes Prediction Using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting that whether the patient has diabetes or not on the basis of the features we will provide to our machine learning model, and for that, we will be using the famous Pima Indians Diabetes Database. Image […]. The post Diabetes Prediction Using Machine Learning appeared first on Analytics Vidhya.

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Query Your Pandas DataFrames with SQL

KDnuggets

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

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In conversation: the Chaos Computer Club, transparency, and data income plans

Dataconomy

Towards the end of 2021, I spoke with Julio Santos, the technical cofounder of Fractal – creators of the Fractal Protocol – on some of the essential topics in data sovereignty, privacy, and security. As with my organization, polypoly, we have concerns over the free access significant companies have over.

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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 Build You Own Slack Bot

Applied Data Science

Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash ? Full Stack Data Scientist: Part 7— How to set up a Slack Bot for instant, automatic notifications Dashboards are the most popular way of presenting data in businesses —  but they’re not the only way ! There are times when users need to be immediately notified when something happens. For example… ?

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AI Underscores Passwordless Authentication Risks for Internet Users

Smart Data Collective

Advances in artificial intelligence have been shaping the state of the Internet for years. One of the biggest changes has been in the arena of cybersecurity. AI technology has been a double-edged sword for the cybersecurity sector. On the one hand, it offers robust protection against data breaches , malware and other online security threats. Cybersecurity experts are expected to spend over $38.2 billion on AI-driven cybersecurity solutions by 2026.

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Spiral graph to show Covid-19 cases

FlowingData

This spiralized chart by Gus Wezerek and Sara Chodosh for NYT Opinion has sparked discussions on what it means to communicate data. A lot of people don’t like it. I’m gathering my thoughts, but I think it’s fine for two main reasons: (1) it’s a lead-in to an opinion piece and (2) it’s not trying to replace the straight-up linear views that we’ve grown uncomfortably familiar with over two-plus years.

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A Comprehensive Guide on Human Pose Estimation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]. The post A Comprehensive Guide on Human Pose Estimation appeared first on Analytics Vidhya.

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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!