Sat.Aug 14, 2021 - Fri.Aug 20, 2021

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Complete guide on how to Use LightGBM in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Gradient Boosting Decision tree or a GBDT is a. The post Complete guide on how to Use LightGBM in Python appeared first on Analytics Vidhya.

Python 398
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The Medical Field is Changing Because of Artificial Intelligence

Dataconomy

Artificial intelligence is one of the most rapidly growing aspects of tech, and in a well-funded industry like the medical industry, new adaptations are helping with efficiency and precision. Ultimately, artificial intelligence is changing healthcare for good, but there are some growing pains as well. Many of those affect the.

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Daily Routine, 2020

FlowingData

After looking at how much time we spent on daily activities in 2020, let's look at when we spent our time. Read More.

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How Automation Streamlines Data Management

Smart Data Collective

Managing data is a challenge. It’s not hard to collect data, but most companies collect data in disparate locations and across multiple applications that don’t talk to each other. With this model, multiple reports are required to crunch data from multiple sources. That requires manually entering data into yet another application to generate a final report.

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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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Computer Vision and How It is Shaping the World Around Us

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Since the initial breakthrough in Computer Vision achieved by A. Krizhevsky. The post Computer Vision and How It is Shaping the World Around Us appeared first on Analytics Vidhya.

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How Data Cleansing Helps Predictive Modeling Efforts

The Data Administration Newsletter

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

More Trending

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Leveraging Data Science To Grow And Manage Your Team

Smart Data Collective

When applied to the hiring process, data analytics can help you strategically grow and manage your team with greater accuracy and success. More companies are using big data to create a stronger company culture. 50% of business owners consider big data to be the most effective hiring method, a Global Recruiting Trends survey reveals. Moreover, big data can also improve talent retention by 56% and better clarify skills gaps by 50%.

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Quick Hacks To Save Machine Learning Model using Pickle and Joblib

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon TABLE OF CONTENTS Introduction Loading dataset and creating our model Saving. The post Quick Hacks To Save Machine Learning Model using Pickle and Joblib appeared first on Analytics Vidhya.

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6 lessons learned about data communication from the Iron Viz 2021 Feeder

Tableau

Andy Cotgreave. Technical Evangelist Director, Tableau. Bronwen Boyd. August 20, 2021 - 10:08pm. August 21, 2021. Last week I had the honor of announcing the winners of the 2021 Iron Viz feeder competition. The theme was joy, and the entries definitely brought me joy. Iron Viz is amazing, not just because of the skill of the people who make it to the top 10, but because of the talent of everyone who enters: win or learn, you can’t lose with Iron Viz.

Tableau 114
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? Different Points of View from the Same Data – The Process 153

FlowingData

Welcome to issue #153 of The Process , the newsletter for FlowingData members on how the charts get made. I’m Nathan Yau, and this week I was observing different points of view from the same data. It still amazes me that you can give multiple people the same dataset and the results can vary depending on questions, goals, and audience. Become a member for access to this — plus tutorials, courses, and guides.

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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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Top eCommerce Metrics for Online Businesses to Study with Analytics

Smart Data Collective

Analytics technology is very important for online businesses. You need to pay close attention to analytics data on various KPIs to determine whether your strategy is working well and what tweaks need to be made. As an eCommerce entrepreneur, you have the benefit of being able to access a plethora of data at any time about multiple areas of your business and how consumers interact with it.

Analytics 135
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Creating Continuous Action Bot using Deep Reinforcement Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon To solve any problem using reinforcement learning we need a. The post Creating Continuous Action Bot using Deep Reinforcement Learning appeared first on Analytics Vidhya.

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DAMA International Community Corner: August 2021 – A Wrap for Now

The Data Administration Newsletter

It has been an incredible run. I hope it is just “see you soon” rather than “goodbye.” With this column, DAMA International’s streak of quarterly columns since mid-2001 is coming to an end. The columns have featured the activities and incredible work of DAMA International over the past two decades. Thank you, DAMA, and I […].

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Multiracial people counted in the census

FlowingData

Using unit charts, NPR shows the number of people who identify with each race or ethnicity : [A] different kind of breakdown can show how racial groups are becoming more heterogeneous. This graphic shows the number of people who said they identified with each race, regardless of how many races they chose. For example, if a person said they identified as Black and Asian, they would appear in both racial categories.

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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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Businesses Discover the Importance of Merging Analytics and Content Marketing

Smart Data Collective

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. When you combine both, you get one of the most formidable and effective marketing strategies ever. Businesses worldwide, especially SaaS businesses, have discovered that smart, measurable content marketing is the key to achieving their business goals.

Analytics 134
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Exploratory Data Analysis and Visualization Techniques in Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Photo by fauxels from Pexels What is Exploratory Data Analysis? Exploratory. The post Exploratory Data Analysis and Visualization Techniques in Data Science appeared first on Analytics Vidhya.

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Business Pace Contributes to Data Challenges

The Data Administration Newsletter

The increasing speed and pace of business certainly contributes to several data challenges (quality, timeliness, availability and, most important, usability of the data). As the number of data sources increase and data volumes expand along with the demand from the business to access data on a timelier basis, pressures begin to form on the underlying […].

Big Data 105
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How vaccines can make a difference with the Delta variant

FlowingData

We see percentages for the vaccinated and unvaccinated, and people can easily misinterpret or miscommunicate the results. It’s especially problematic when people are actively trying to confirm misconceptions. For The New York Times, Lauren Leatherby tries to make things clearer imagining two groups: one that is 20% vaccinated and one that is 95% vaccinated.

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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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Top 5 Data-Driven Lease Accounting Software Solutions

Smart Data Collective

Big data has radically changed the accounting profession. Accountants are using new software with sophisticated machine learning algorithms to better address the nuances of their situations. They are also using more advanced data analytics tools to make more meaningful insights into the nature of their clients’ financial matters. Cloud technology has also helped accountants.

Big Data 134
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Better EDA with 3 Easy Python Libraries for Any Beginner

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Image Source: Author Data Science enthusiasts know that raw data. The post Better EDA with 3 Easy Python Libraries for Any Beginner appeared first on Analytics Vidhya.

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6 lessons learned about data communication from the Iron Viz 2021 Feeder

Tableau

Andy Cotgreave. Technical Evangelist Director, Tableau. Bronwen Boyd. August 20, 2021 - 10:08pm. August 21, 2021. Last week I had the honor of announcing the winners of the 2021 Iron Viz feeder competition. The theme was joy, and the entries definitely brought me joy. Iron Viz is amazing, not just because of the skill of the people who make it to the top 10, but because of the talent of everyone who enters: win or learn, you can’t lose with Iron Viz.

Tableau 98
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NBA carry jobs

FlowingData

With professional basketball, we often hear about carry jobs. There’s one star player who carries everyone else to a championship. Russell Goldenberg for The Pudding looked for the biggest carry jobs in NBA Finals history. Tags: basketball , Pudding , Russell Goldenberg.

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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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The Growing Role of Analytics in Product Development

Smart Data Collective

Data is an important part of any business, including areas that focus on product development. With data, you can analyze it and then incorporate your findings into the development stages of the product’s creation. As such, you end up with a final product that is a lot more effective than it would be without that influence of analysis. The results of data analysis can take some time, hence why it’s important to introduce this as early on as possible to ensure peak performance.

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How to add watermark on images using OpenCV in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Watermarks are an important part of businesses and online content. The post How to add watermark on images using OpenCV in Python appeared first on Analytics Vidhya.

Python 364
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Data-powered excellence: US Paralympian Lizzi Smith breaks barriers—and records

Tableau

Stephanie Jensen. Marketing Content & Editorial Manager. Kristin Adderson. August 17, 2021 - 9:58pm. August 24, 2021. Team USA athlete Lizzi Smith at the Paralympic Games Rio 2016 (photo credit: Getty Images). Data stops doubt. Paralympian Lizzi Smith is stoked about swimming, and leans into data as a way to improve her results. . “Data stops doubt,” explains Lizzi.

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Race and ethnicity map of dots

FlowingData

CNN goes with the dot density map for their first pass on the 2020 decennial. Each dot represents a certain number of people depending on your zoom level. Color represents race or ethnicity. Does CNN have a limited color palette that they’re allowed to use? I would’ve gone for more contrast between the light blue for white and darker-but-still-light blue for American Indian/Alaskan Native.

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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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Data-Driven Approaches to Better Optimized Enterprise Workflows

Smart Data Collective

Big data has been a very important part of modern human resource solutions. One of the biggest implications of big data in human resources has pertained to enterprise workflow management. Every business, from a small one-person shop to an enterprise level company needs to find ways to be more efficient. This means efficiency in spending, and efficiency in their workflows.

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Build your first artificial neural networks using Pytorch

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all want to dive deep into deep learning and. The post Build your first artificial neural networks using Pytorch appeared first on Analytics Vidhya.

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Data-powered excellence: US Paralympian Lizzi Smith breaks barriers—and records

Tableau

Stephanie Jensen. Marketing Content & Editorial Manager. Kristin Adderson. August 17, 2021 - 9:58pm. August 24, 2021. Team USA athlete Lizzi Smith at the Paralympic Games Rio 2016 (photo credit: Getty Images). Data stops doubt. Paralympian Lizzi Smith is stoked about swimming, and leans into data as a way to improve her results. . “Data stops doubt,” explains Lizzi.

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Data Literacy for Responsible AI: Algorithmic Bias

DataRobot

As artificial intelligence secures its position in the public sphere, consumers expect companies to use the maturing technology ethically and responsibly. Seventy percent of customers expect organizations to provide transparent and fair AI experiences, according to a recent Capgemini report. But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias.

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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!